Web Design, Mobile Apps, Online Marketing in Indonesia, Japan

April 28, 2026 • Knowledge

The AI Coding Assistant Explained: Productivity Boon or Technical Debt

An AI coding assistant is an AI and ML-powered tool that helps developers write, review, debug, and optimize code. Acting as a partner, it uses large code datasets and NLP to automate tasks, reduce errors, and accelerate workflows. Popular examples include GitHub Copilot, Amazon CodeWhisperer, Tabnine, and Google Project IDX. A main debate often arises: speed versus code integrity. AI can accelerate work, but sometimes at the expense of code quality. Releasing quickly can conflict with keeping systems clean and durable, making it a constant balancing act. This article is intended for readers in the following roles: Engineering leaders who are currently deciding on or planning to implement an AI Coding Assistant in their teams Chief Technology Officers (CTOs) who are considering additional hires or tool optimization Development Managers who are comparing metrics such as DORA/SPACE with the use of AI Junior and senior development teams are planning a pilot project or a rollout to production, Or for readers who are familiar with using AI in their workflows and want to stay agile without accumulating technical debt. What Are the Benefits of Productivity: Real Benefits, Real Numbers How AI Coding Assistants Accelerate the Development Cycle By 2026, AI coding assistants like GitHub Copilot, Tabnine, Sourcegraph Cody, and Amazon CodeWhisperer will be an integral part of developers’ workflows. They can boost development speed by up to 300% and reduce coding time per feature by approximately 43% as follows: Their functions are no longer limited to auto-complete; they also help refactor code and generate tests with a better understanding of context. At the individual level, AI can increase a developer’s output by about 20–40%, but it doesn’t automatically lead to faster delivery without changes to team-level processes. Currently, over 75% of developers use AI tools to improve efficiency and productivity in software development. Case Study: When Teams Can Move Faster Without Sacrificing Quality For example, teams use AI (such as Copilot) to create automated unit tests faster or to generate CRUD API scaffolding in minutes, not hours. The result: teams work faster without turning the system into a mess. The key is that speed and quality go hand in hand, as long as clear controls and coding standards are in place." The Cumulative Effect: How Small Gains Add Up to Significant Speed A single “shortcut” from an AI coding assistant can save about 10 minutes of work; if used 20 times a week by a team of five, the result is equivalent to saving several days of work. Small examples: faster autocomplete, instant boilerplate generation, or more efficient documentation writing. The effects aren’t immediately noticeable, but over time they accumulate into a significant increase in team productivity.   Other Articles: TIMEDOOR INDONESIA X SAWAH CYBER SECURITY: The Rebirth of A Company Profile Website The Technical Debt Trap: What’s Really Happening Behind the Scenes What Is Technical Debt? Technical debt is a concept in software development that describes the “future costs” incurred by choosing a quick or easy solution now, rather than a better solution that takes more time. When developers prioritize speed over code quality, the result is often a suboptimal solution that needs to be fixed later on. This can consume time, budget, and team resources. Examples: Using an outdated (deprecated) library because it’s familiar Hardcoding values that should be configurable The 5 Most Common Patterns Based on AI Analysis Results Hardcoded Value Missing Error Handling Inconsistent Architecture Patterns Duplicated Logic Code You Don't Understand But Shipped Anyway The “Just Get It Working” Trap: Why Passing Tests Isn’t Enough Code can pass tests, but that doesn’t necessarily mean it’s structurally sound. The “just get it working” mindset often leads to design quality being overlooked. Problems usually only surface once the application starts to grow. The True Cost of Technical Debt: When Refactoring Turns into a Crisis Technical debt from rapid AI development can accumulate without you even noticing. It starts small, but over time makes the system increasingly difficult to modify. Refactoring eventually becomes a massive undertaking that consumes time and resources. Development of new features is also hindered because the system has become too complex.   Other Articles: 10 Recommended Coding School for Children in Indonesia The Silent Debate Within Every Development Team Using AI Coding Assistant Speed vs. Quality: Why Both Are Equally Valid Fast shipping is a real business need that involves deadlines, investors, and market opportunities that must be seized. Keeping the code clean is also a real engineering need; messy code slows down every subsequent sprint. Neither is wrong; they just prioritize different “timelines”. Speed wins in the short term; integrity wins in the long term. The best teams don’t choose one over the other, but build processes that balance both. The Pressure to Release Quickly Increases the Risk of AI Technical Debt Deadlines cause developers to accept AI output more quickly and be less thorough during reviews. “Just get it working.” Code structure and readability are often overlooked. Work pressure causes AI to shift from a partner to merely a “quick approval tool”. The faster the sprint, the more AI code slips through without being properly checked. Technical debt usually isn’t immediately noticeable, but it surfaces a few sprints later when the system starts to slow down. Junior vs. Senior Developers: Who Benefits More and Who Faces Greater Risks Senior developers benefit the most because AI helps handle repetitive tasks, allowing them to focus on architecture and decision-making. Junior developers can deliver faster, but sometimes they’re not yet able to assess whether the AI’s output is correct or polished. There’s a risk that juniors might unconsciously adopt poor coding patterns from AI. AI can also act as a “crutch” that causes foundational learning to be overlooked early in one’s career. The bottom line is that the risk isn’t about being a senior or a junior, but how well we can critically evaluate AI output. What Happens When a Team Uses AI Coding Assistant Without Clear Standards Each developer uses AI differently based on different prompts, and what’s considered “acceptable” varies. The codebase becomes a hodgepodge, reflecting many AI styles rather than a consistent team style. Without shared rules, there is no clear accountability for the quality of AI-generated code. Code reviews become more difficult because it’s hard to distinguish between deliberate decisions and the “drift” of the AI. Without standards, AI doesn’t just speed up work, it also accelerates inconsistency in the code.   Other Articles: Love in Indonesia: Value, and Cultural of Romance and Marriage, Differences from Japan How to Reap the Benefits of an AI Coding Assistant Without Getting Stuck in Technical Debt Treat AI as a Partner, Not a “Just Ask, and It’ll Do It” Machine A vending machine only gives you what you ask for A collaborator, on the other hand, can offer input and suggest better approaches. Many developers use AI like a vending machine: give a prompt, take the result, and keep working. The shift: use AI not just to generate code, but to think together You can ask AI to explain its answers, provide alternatives, or critique your approach. Our job isn’t just to craft better prompts, but to maintain control as the primary “driver”. Review First: Never Accept Output at Face Value Check for these 5 patterns of technical debt: hard-coded values, missing error handling, inconsistencies, duplication, and confusing code. If you can’t clearly explain what the code does, avoid deploying it immediately. Reviewing first doesn’t slow you down; in fact, it’s what distinguishes healthy productivity from accumulating technical debt. Establishing Team Standards for AI Coding Assistant Without standards, each developer uses AI in their own way. Clearly define areas suitable for AI: boilerplate code, testing, documentation, and scaffolding. Also define areas that require human judgment: architecture, security, and business logic. Include AI-generated code in code review checklists; avoid assuming it’s automatically “correct”. Document AI usage guidelines just as you would coding standards within the team. Standards aren’t meant to slow things down; rather, they ensure AI outputs are consistent and reproducible. When to Use AI, and When It’s Better to Write It Yourself Use AI for: Boilerplate and repetitive code structures Unit tests and test case generation Documentation and code comments Scaffolding new components or API endpoints Debugging assistance and error explanations Regular expressions, SQL queries, and utility functions It’s better to write it yourself if: It involves core business logic: AI doesn’t understand your domain rules. It relates to security and authentication: too critical to be taken at face value. It determines system architecture: requires human judgment. Your skills are underdeveloped: If you’re just learning something new and immediately handing it over to AI. The logic is complex and specific: AI tends to be general; you need precision.   Other Articles: What is Required of Offshore Development Companies in the Era of Generative AI Strategic Perspective: The Long-Term Role of AI Coding Assistant How AI Coding Assistants Are Changing Architectural Decision-Making Software Developers can now prototype architectures much faster, while AI can scaffold system structures in a matter of minutes. But this also creates new risks: architectural decisions are made as quickly as the AI can, without considering deep human thought, because: AI tends to rely on common patterns based on the most frequently occurring data, not what’s best suited for the user’s system. Many teams are starting to choose tech stacks because “AI works well there,” not purely based on technical considerations. Long-term risks arise because systems may appear polished on the surface but are actually fragile internally. In essence, AI accelerates architectural decisions, but without proper judgment, the results may seem solid at first but gradually reveal issues. What This Means for Tech Leaders and Stakeholders AI Coding Assistants do not eliminate the need for technical leadership; rather, they make that role even more critical. CTOs now not only oversee what is built but also how AI is used. New responsibilities include: Establishing AI usage policies across the entire engineering team Determining which decisions still require human approval, regardless of AI output Monitoring AI-related technical debt at the system-wide level, not just per pull request Ensuring junior developers’ skills aren’t hindered by over-reliance on AI AI Coding Assistants are now strategic assets in engineering, and like any other asset, they must be managed properly. The CTO’s role isn’t just about setting the technical direction but also establishing standards for how AI contributes to that direction. Building an AI-Supported Team Without Accumulating Technical Debt It all starts with culture, not tools. How the team treats AI is more important than which AI is used. A culture that critically evaluates output is far more powerful than simply accepting it without thinking.   The Future of AI Coding Assistants: Where the Debate Is Headed AI coding assistants are getting smarter: Next-generation AI will understand the entire context of the codebase and reduce the risk of inconsistencies and duplication. AI will become increasingly capable of self-review and detecting potential technical debt before code is committed. Agentic AI will move from simply providing suggestions to automated execution, and the risks will also increase. The Direction of the Debate Will Shift: The question is no longer “does this help or create debt?” but rather “to what extent is this system actually designed by humans?. Issues of ownership, responsibility, and code ownership will become more complex, both legally and ethically. Other Articles: Indonesia IT Outsourcing: The Complete Guide 2025 - Why IT Outsourcing in Indonesia is So Hot Right Now SUMMARY An AI coding assistant is an AI- and machine learning-based tool that helps developers write, review, and optimize code in real time. Its use has been shown to boost productivity; in fact, over 75% of developers already use it to speed up their workflow and reduce repetitive tasks. However, the use of AI coding assistants also carries the risk of technical debt, especially when development speed is prioritized over code quality. This practice can result in suboptimal code structures and potentially increase future maintenance costs. The dilemma between speed and code quality is a major challenge in implementing AI coding assistants within development teams. Therefore, a balanced approach is needed, combining the efficiency of AI with the control and validation provided by developers as the primary decision-makers. In the long term, AI coding assistants play a crucial role in accelerating the creation of prototypes and system architectures. However, without careful strategic consideration, this also risks leading to suboptimal technical decisions. With the right usage strategy, AI coding assistants can become a productivity asset without sacrificing system quality and sustainability. GLOSSARY Artificial Intelligence: The theory and development of computer systems capable of performing tasks that historically required human intelligence, such as speech recognition, decision-making, and pattern identification. Machine Learning: A subfield of Artificial Intelligence (AI) that uses algorithms trained on datasets to create models capable of performing tasks typically only performed by humans, such as classifying images, analyzing data, or predicting price fluctuations. Debugging: the process of finding, isolating, and fixing programming errors known as bugs in software programs. Debugging helps identify the causes of programming errors, prevent software functionality issues, and improve overall software performance. Natural Language Processing (NLP): A branch of artificial intelligence (AI), computer science, and linguistics that focuses on making human communication—such as speech and text—understandable to computers. Chief Technology Officer: A corporate executive who analyzes an organization’s technology needs and manages the organization’s investments in research and development. Productivity Boon: Something that significantly boosts productivity. A tool, method, or change that makes work much faster or more efficient. Technical Debt: A shortcut or quick-fix implemented in code or a system that currently seems fine but eventually leads to additional work, complexity, or problems. DORA: DevOps Research and Assessment. Developed at Google Cloud with a specific focus on evaluating DevOps performance using a set of standardized metrics. These metrics serve as a tool for continuous improvement for DevOps teams anywhere by helping them set goals based on current performance and then measure progress toward those goals SPACE: The SPACE framework is an acronym for Satisfaction, Performance, Activity, Communication, and Efficiency—a comprehensive approach to understanding and measuring developer productivity, introduced in 2021 by researchers from Microsoft Research, GitHub, and the University of Victoria. Boilerplate: A reusable section of code that can be included in various places with little or no modification at all. This practice ensures consistency and efficiency across different parts of an application. Scaffolding: A technique that enhances programmers’ ability to efficiently modify and customize software applications, particularly when dealing with structured data. This approach utilizes a framework, a reusable software structure that allows for easy modifications and additions to existing code. Code Review: A systematic evaluation of code designed to identify bugs, improve code quality, and help developers understand the source code. SQL Query: A systematic evaluation of code designed to identify bugs, improve code quality, and help developers understand the source code.   Contact Us.

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April 17, 2026 • Business, Our Work

TIMEDOOR INDONESIA X SAWAH CYBER SECURITY: The Rebirth of a Company Profile Websites

Developing a company profile website with cybersecurity services is a crucial step in building credibility and trust in the digital age. In this website redesign, through a collaboration between Timedoor Indonesia and Sawah Cyber Security, we will break down one of our company profile projects while offering tips to our readers. As a software developer and Sawah Cyber Security as a cybersecurity service provider, this project focuses not only on visual design but also on information architecture, user experience, and integrated security features. Timedoor Indonesia has been in the website development business for over ten years. Over the past decade, we have created hundreds of company profile websites. From this experience, we have identified various common mistakes that business owners often make when developing their company websites. Key Elements in Developing a Company Profile Website with Cybersecurity Source: https://unsplash.com/id   Clearly define your target audience before anything else. This is the most important element in developing a company profile website. Your target audience shapes everything the design direction, the content you present, and the experience you create. Different audiences demand different UI/UX approaches. That's why understanding who you're building for is always the first step and the most crucial one . Examples of differences based on the target audience: Prospective buyers: The UI/UX design focuses on making it easy to compare products, simple navigation, and a fast checkout process. Prospective investors: Greater emphasis is placed on information regarding company performance, management, and long-term business prospects. The main challenges in this project are: There are two primary target audiences: Prospective buyers (primarily from the government sector) Prospective investors (domestic and international) These two segments have different information needs However, both share a common interest in environmental sustainability issues   Other Articles: Press Release: Sawah Cyber Security and Timedoor Indonesia Announce Strategic Partnership to Deliver Secure and Innovative Applications in Indonesia Essential Information for Developing a Company Profile Website with Cybersecurity Source: https://unsplash.com/id   Once the target audience has been clearly defined, the next step in developing a company profile website is to gather relevant company information that aligns with the audience’s needs. Selecting this information is crucial because each target audience has different expectations regarding the website’s content. Differences in information needs based on target users: Prospective investors: Seek strategic information such as company performance, vision and mission, and business sustainability Prospective buyers: Are more interested in product information, promotions, and ease of transaction Basic Information for a Company Profile Website In practice, there are several key types of information that are almost always included on a company profile website, namely: Company introduction Types of services or products Blog or articles Portfolio In addition to the information listed above, supplementary information can also be included, such as: Company history CSR CEO Letter The information that can be included depends on the target audience. The main focus of this project is to highlight the client’s activities supporting forest reforestation as part of their commitment to environmental sustainability. Approaches used in the website design: Displaying visual content (photos) that depict forest reforestation activities Organizing the information structure to highlight the client’s sustainability initiatives Optimizing the UI/UX design to ensure the main message is easily understood by visitors   Other Articles: System Development Methods and Characteristics - Waterfall Development, Agile Development, Prototyping Development The Impact of an Unclear Target Audience on the Development of a Company Profile Website with Cybersecurity Features Source: https://unsplash.com/id   One of the most common mistakes made in the development of a company profile website is defining the target audience too broadly, such as “everyone.” Initially, the design process may go smoothly. However, midway through the project, doubts often arise from the website owner, leading to a change in direction. A common workflow example: The initial design is created based on general assumptions Concerns arise: the design is too “old-fashioned” for Gen Z The client requests a design revision to make it more modern After the revision, a new consideration emerges: the target audience also includes seniors The request changes again: the font is enlarged, and the layout is simplified The design is revised once more   The Impact of an Unclear Target Audience in Website Development The effects of an unclear target audience cannot always be directly measured in numbers. However, the impact will be felt in both the process and the final outcome of the company profile website development. The following steps should be taken and considered during the preparation phase before developing a company profile website: Identify your target audience; create user profiles (age, gender, demographics, etc.) Determine the overall design concept (minimalist/futuristic/retro/etc.) Prepare content (text, photos, videos, etc.) Contact Timedoor Indonesia to create a company profile website   Other Articles: Indonesia IT Outsourcing: The Complete Guide 2025 - Why IT Outsourcing in Indonesia is So Hot Right Now Key Benefits of the Company Profile Website Development Project: Sawah Cyber Security x Timedoor Indonesia Source: https://unsplash.com/id Target audience for this project: Prospective investors Prospective buyers Approach taken: Highlighting environmental sustainability as a core value Tailoring the UI/UX design to appeal to investors and buyers By adopting this approach, the website effectively conveys a strong and relevant message to both target audiences. The Importance of Security in Developing a Company Profile Website In this company profile website development project, cybersecurity is one of the main priorities, as follows: Approach taken: Collaborating with Sawah Cyber Security Conducting penetration testing on the website system Identifying security vulnerabilities from the development stage   Other Articles: What is Required of Offshore Development Companies in the Era of Generative AI Protect Your Business’s Website and Company Profile with a Trusted Cybersecurity Solution Speed of deployment doesn’t have to come at the expense of security. If your team needs more robust validation, consider a structured DevSecOps workflow with Sawah Cyber Security. Discuss your DevSecOps and code review needs with the Sawah Cyber Security team to build secure applications from the coding stage through to production. Let’s build a safer and more resilient digital Indonesia, together. Contact Us.   

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March 10, 2026 • Indonesia

10 Recommended Coding Schools for Children in Indonesia

In recent years, interest in coding education for children has been growing very quickly all over the world. This is because technology has come to play an important role in every part of society, such as AI, digital services, and smartphone apps. A similar trend is also happening in Indonesia. Indonesia has the largest population in Southeast Asia, and the demand for IT talent is increasing every year because of the growth of startup companies and the expansion of the digital economy. Because of this, more parents now want their children to learn digital skills from a young age. However, when families actually start looking for a coding school, there are many different education services, and many parents are not sure which one they should choose. In this article, we will introduce major schools in Indonesia that provide coding education for children, and at the same time, we will explain in detail the points that parents should check when choosing a school.   Benefits of Children Learning Coding Building logical thinking skills Coding is the work of giving instructions to a computer. Because of this, children need the ability to break down a problem and think in order, step by step. This way of thinking is called “computational thinking,” and it is getting attention around the world as a type of education that helps build logical thinking skills. Improving problem-solving skills A program does not always work well the first time. When an error happens, it is necessary to analyze the cause and fix it. By repeating this kind of trial and error, children can naturally gain the power to solve problems. Growing creativity In coding education, children often make projects such as games and apps. The experience of turning their own ideas into real things strongly stimulates their creativity. Because of this, coding education is valued not only as IT skill education, but also as education that helps grow creativity.     10 Recommended Coding Schools for Children in Indonesia Here, we will introduce major schools in Indonesia that provide coding education for children. 1 Timedoor Academy Timedoor Academy, which is run by our company, is a coding education school based on Japanese education methods, and it is one of the IT education institutions where many students study in Indonesia. It has a structured curriculum for children from elementary school to high school. Students can start from beginner-level visual coding and then gradually level up to Scratch, Roblox, Web development, Python, AI development, and more. In class, the main focus is not just practicing writing code, but project-based learning such as making games and developing apps. While making their own works, children understand how coding works and naturally build logical thinking skills and problem-solving skills. Also, the school supports both online classes and classroom classes, and it has more than 70 classrooms, so it has an education environment that is easy to join not only for families in cities but also for families in regional areas. 2 Vocasia Coding Academy Vocasia Coding Academy is an IT education platform that mainly focuses on online education. It mainly offers online classes and provides coding education such as game development and Web development. Because children can study from home, it is an easy education service to join even for families living far from big cities. One of its especially popular courses is the Roblox game development course. Roblox is a popular game platform among children, and because children can experience making their own games, it is getting attention as a teaching method that can easily attract children’s interest. 3 KodeKiddo KodeKiddo is a school that provides a curriculum that combines AI education and coding education. At this school, children can learn not only coding, but also basic AI and digital creative education, which are skills needed in the future digital society. It is known for having an environment where children can enjoy learning IT through game creation and project-based classes. 4 Koding Next Koding Next is one of the well-known coding schools for children in Indonesia, and it provides education programs for children from 4 to 16 years old. At this school, the curriculum is divided in detail by age, and children can learn a wide range of things, from basic digital education for young children to practical IT skills such as game development and app development. Also, it is known for its class environment that uses English, and it gives children a chance to learn IT in English at the same time as coding. It can be said to be an attractive school for families who want their children to be active in overseas IT education or in a global environment in the future. 5 Coding Bee Academy Coding Bee Academy is a school that specializes in IT education for children, and it provides coding education for children from 4 to 18 years old. At this school, children can experience many fields of IT education, such as game development, app development, Web design, and robotics education. Classes are often done in a project-based style, and children understand how coding works by making their own works. Also, it has partnership programs with schools, and in some cases, it is used as supplementary IT education for school education. 6 KodioKids KodioKids is a coding school that focuses on game creation education. It has a curriculum that uses platforms popular with children, such as Scratch, Minecraft Education, and Roblox Studio, and even beginners can enjoy learning coding. At the advanced level, it is also possible to learn real coding skills such as Python and Unity game development. 7 BrightCHAMPS BrightCHAMPS is an online education platform that operates around the world, and it provides digital skill education such as coding and AI education. Because online classes are done one-on-one or in small groups, children can continue learning at a pace that matches their level of understanding. Also, it provides not only coding but also finance education and math education, and it is known for giving broad skill education needed in the digital age. 8 Rumah Coding Rumah Coding is a school that provides coding education at a relatively reasonable price range. Children can start learning from beginner coding such as Scratch, so it is also suitable for children who are trying IT education for the first time. Because the fees are relatively affordable, it is one of the schools that is easy to use for families who first want to try coding education. 9 Kalananti Kalananti is a school that values STEAM education, and it provides a curriculum that combines coding and robotics education. In addition to coding tools such as Scratch, Roblox, and Python, it also has classes using educational robots such as Micro:bit. Its education style is known for allowing children to gain IT skills while actually making projects through project-based learning. 10 Algonova Algonova is a relatively new education platform in the IT education community in Indonesia. It provides education programs centered on online learning, and children can start from beginner coding education. Its education content is mainly focused on helping children understand the basics of IT, such as Web development and the basics of coding.   Points to Check When Choosing a Coding School A curriculum that matches the child’s age In coding education for children, it is important to have a curriculum that matches the child’s age and level of understanding. Visual coding such as Scratch and Blockly is easy for beginners to understand, so it is used in many schools. Project-based learning Classes where children actually make things, such as games and apps, are effective for deepening children’s understanding. Whether offline classes are available Online classes are increasing, but in the case of children, face-to-face classes are often easier to understand. Because teachers can guide them directly, it is easier for children to ask questions, and it is also said that they can concentrate better. Easy-to-reach location In big cities in Indonesia, traffic jams are very serious. Because of this, choosing a school that is in a place that is easy to go to from home or school is also an important point. Quality of teachers In education for children, the teaching skill of the teacher is very important. It is better to take a trial class and check the classroom atmosphere and the teacher’s way of teaching.   Summary In Indonesia, coding education for children is spreading very quickly. Because of the development of digital society, IT skills have come to be seen as one of the important abilities for future careers. Because of this, many parents are thinking about having their children receive coding education from a young age. Right now, in Indonesia, there are many different types of coding schools, such as online type, classroom type, and STEAM education type. Each school has its own features, and what children can learn and how they are taught are also different. When choosing a school, it is important to check some points, such as whether the curriculum matches the child’s age and interests, whether project-based learning is included, whether face-to-face classes are available, and whether the location is easy to reach. Coding education is not only about learning IT skills. It is also education that helps grow logical thinking skills, problem-solving skills, and creativity. For children, being able to understand technology and turn their own ideas into real things can become a big experience that expands their future possibilities. It is important to choose a school that fits the child and create an environment where they can enjoy learning IT.   About Timedoor Academy If you are interested in coding education for children in Indonesia, please also consider the programs offered by our academy, Timedoor Academy. Timedoor Academy is a coding school for children based on educational methods from Japan and the United Kingdom. It is one of the IT education institutions where many students are learning across more than 70 branches in Indonesia. The curriculum is designed to start with beginner-friendly visual coding and gradually progress to Scratch, Roblox, Web development, Python, AI development, and more. In the classes, the focus is not only on writing code but also on project-based learning such as creating games and developing applications. Through these projects, children can understand how coding works while naturally developing logical thinking and problem-solving skills. Timedoor Academy offers both online classes and offline classroom learning. With many locations across Indonesia, the learning environment is accessible not only for families in major cities but also for those living in regional areas. If you would like to learn more about trial classes or course programs, please feel free to contact us through the channels below. Website https://timedooracademy.com/ WhatsApp +62881-4677-923 Email [email protected] Instagram https://instagram.com/timedooracademy Facebook https://facebook.com/timedooracademy   Explanation of Words Used in This Article Coding This means creating instructions to tell a computer what actions to do. By writing code, people can make games, apps, websites, and more. Computational thinking This means a way of thinking where a problem is divided into small steps and solved in order. In coding education, helping children build this way of thinking is considered one of the important goals. Scratch This is a visual coding language developed for children. Because children can make programs by combining blocks, it is easy for beginners to understand. Roblox This is a popular online game platform around the world. Players can not only play games, but also make their own games. It is also often used in coding education. STEAM education This is an education method that combines the five fields of Science, Technology, Engineering, Arts, and Mathematics. It is getting attention around the world as education that helps build creativity and problem-solving skills. Online classes This is a learning style where students take classes from home using the internet. It has the advantage that students can learn without being limited by location. Offline classes This is a style where students take classes face-to-face with a teacher in a real learning place such as a classroom. In the case of children, it is said that understanding and concentration can become better.   FAQ At what age can children start learning coding? Many coding schools provide courses for children around 4 to 6 years old. At this age, children usually do not learn text-based coding. Instead, learning is mainly done through visual coding such as Scratch. When children become elementary school students, more practical coding education such as game creation and app development often begins. Which is better, online classes or classroom classes? Each has its own advantages. Online classes can be joined from home, so there is no burden of commuting. On the other hand, in the case of children, face-to-face classes where teachers can guide them directly may be easier to understand. The younger the child is, the more effective classroom-style classes may be. What kind of benefits will children get in the future if they learn coding? Coding education is not useful only for children who want to become IT engineers. It is also valued as education that helps build logical thinking skills, problem-solving skills, and creativity. These kinds of abilities are considered useful no matter what kind of job children choose in the future. How much does a coding school cost? The fees of coding schools for children in Indonesia are different depending on the school, but in general, they range from several hundred thousand rupiah to several million rupiah per month. The cost changes depending on the class style and the curriculum content, so many families think about it after taking a trial class. Can children who are not good at coding still learn it? Many coding schools for children have beginner-level curriculums. There are many teaching materials that children can enjoy, such as game creation and block-based coding, so even children who are not used to IT can deepen their understanding little by little.  

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