Google Retires Jules, Moves to Antigravity

Google announced the retirement of Jules on October 28, 2026, its AI coding agent launched in December 2024. Google will move its learnings to a new platform called Antigravity. This change did not happen suddenly, but is the result of Google's evaluation of its product that has been running for several months.

Jules was designed to complete programming work that developers usually leave behind. Google launched it as an enterprise AI coding agent in early 2026. After several months of operation, Google decided to shut down Jules and integrate its main features into Antigravity.

What Jules Did

Jules is an AI agent that can complete coding tasks autonomously. Developers do not need to type every line of code. Jules can write code, fix bugs, and test the results. It runs in the background, so developers can focus on other tasks while waiting for results.

Google positioned Jules as a tool for work that developers usually do not want to do. This includes writing documentation, fixing small errors, and refactoring code. The agent runs in the background and notifies developers when tasks are complete.

Developers who used Jules gave varied feedback. Some reported that Jules helped accelerate the development of new features. Others said that the code generated by Jules still needed to be rewritten before it could be used in production.

Key features of Jules include background task completion, code repository integration, and automatic bug detection. The agent was also capable of working with various programming languages, including Python, JavaScript, and Go. This made Jules suitable for various types of software development projects.

Antigravity: A New Development Platform

Antigravity is not just a replacement for Jules. It is a broader platform. Google combines coding agent capabilities with a more integrated development environment. Developers can run autonomous background tasks while still controlling the generated code.

This approach differs from the usual AI coding assistant model. Usually, AI coding tools only give code suggestions that developers must evaluate. With Antigravity, AI can complete tasks more independently and return results ready to use.

Antigravity also comes with better project management features. Developers can set task priorities, track progress, and review final results before code is merged into the main repository. This makes the platform more suitable for development teams working together.

The architecture of Antigravity is built on Google's cloud infrastructure. The platform uses Google's GPUs to run AI models that enable coding task execution. Developers do not need to set up their own hardware to use Antigravity.

Analysis: Why Google Retired Jules

The retirement of Jules shows that Google is still looking for the right form for AI coding agents. The company launches one product, evaluates it, then moves it to a larger platform. This is a common pattern in AI development.

One possible reason is Jules' limitations. An overly autonomous coding agent can make errors that are hard to detect. Code generated by AI might work at first but cause problems later. Google may want to build a safer and more controlled platform before launching it widely.

Another reason is ecosystem strategy. Google does not just want to make separate coding tools. They want to build a platform integrated with other Google products, such as Search and Gemini. Antigravity is a step in that direction.

Cost is also a consideration. Running AI coding agents requires significant computation. Google has to pay for servers and GPUs running Jules. With Antigravity, Google can optimize those computation costs in a more efficient way.

The table below compares Jules and Antigravity features.

Timeline of Jules Development

The development of Jules can be traced from several important points. In December 2024, Google launched Jules as an experimental project in a limited environment. In early 2026, Jules was officially released for enterprise customers. After operating for about ten months, Google announced the retirement of Jules in October 2026. All main features of Jules will be moved to Antigravity within the next six months.

This timeline shows that the lifecycle of AI coding products is still very short. Products launched in 2024 were already retired in 2026. For developers, this means the tools they use on November 2, 2026 may not exist anymore within two years.

Impact on the Indonesian Startup Ecosystem

Startups in Indonesia developing AI-based products are also affected by this change. Many startups used Jules to accelerate their product development. With the retirement of Jules, they must find alternatives or wait for Antigravity to become available.

Some startups choose to continue using existing AI coding tools, such as GitHub Copilot or Cursor. Other startups choose to develop their own AI coding solutions so they do not depend on one platform. This decision depends on budget and talent availability in each startup.

Challenges for Indonesian Developers

Indonesian developers who have learned to use Jules must adapt to Antigravity. First, they must learn a new interface. New platforms usually have different workflows from the previous one.

Second, there are compatibility concerns. Code generated by Jules may not be fully compatible with Antigravity. Developers must retest existing code before switching to the new platform.

Third, access costs remain unknown. Google has not disclosed whether Antigravity will be free or paid. For individual developers in Indonesia, subscription costs could be a major barrier.

What Indonesian Developers Should Do

Indonesian developers need to take several steps to adapt to this change. First, they should start learning Antigravity as soon as the platform becomes available. Waiting too long will make them fall behind compared to developers from other countries.

Second, developers should review documentation of code already created with Jules. They need to identify parts of the code that may require adjustment when switching to Antigravity. The migration process cannot be done carelessly and requires careful planning.

Third, companies and startups should prepare a budget for Antigravity subscription fees. If this platform is paid, the cost must be calculated in annual financial planning. Free alternatives like GitHub Copilot can also be considered as backup.

Fourth, developers should improve their skills in AI development in general. Not just depending on one platform, they must understand basic AI coding concepts, model architecture, and how AI agents work. With that, they can switch between platforms more easily if needed.

Operational Costs and Infrastructure

Running an AI coding platform like Antigravity requires significant operational costs. Servers and GPUs that run AI models need electricity and cooling. These costs are borne by Google, but may be passed on to users through subscription fees.

For companies in Indonesia, using a foreign cloud platform like Antigravity also raises questions about regulatory compliance. Data processed on Google servers may not comply with local data security regulations. Companies must evaluate these risks before using the platform.

Internet bandwidth is also a consideration. Background coding task execution requires a stable and fast internet connection. In some regions of Indonesia, internet connectivity is still inadequate for intensive cloud platform use.

Comparison with Other AI Coding Tools

Antigravity is not the first AI coding platform on the market. Several alternatives are available, including GitHub Copilot, Cursor, and Replit Agent. Each platform has its own advantages and disadvantages.

GitHub Copilot focuses more on real-time code suggestions, while Antigravity focuses on autonomous task execution. Cursor provides an editor with deep AI integration, while Antigravity operates as a separate platform. Replit Agent offers browser-based development, while Antigravity requires integration with existing repositories.

For Indonesian developers, the choice of platform will depend on specific needs, budget, and available infrastructure. There is no single platform that is best for all use cases.

Conclusion

Google retired Jules because it wants to build something bigger. Antigravity represents Google's vision of how AI should be integrated into software development. For developers, this change means AI coding tools will continue to evolve, but in a different form.

The questions that remain: when will Antigravity be available for broad users, and will this platform overcome the limitations experienced by Jules?