The coding world saw major AI agent developments this week. Google previewed Jules, an advanced coding assistant using their newest Gemini 2.0 models. Unlike simple code helpers, Jules can plan multi-step tasks like preparing pull requests and updating dependencies across entire projects. Early testers say it’s particularly good at spotting patterns in messy codebases.

Collaboration between AI tools took a big step forward with the Agent2Agent (A2A) protocol. Developed by Google and partners like Salesforce, this system lets different company’s AI helpers share data securely. Imagine a coding AI that can safely check inventory numbers from a warehouse bot while fixing a shipping app!

GitHub made Copilot smarter by adding agent mode in VS Code. Instead of just suggesting code, it can now review entire files, run tests, and even revert bad changes. Early users report it’s great for repetitive tasks like updating API endpoints.

Research tools got upgrades too. The Deep Research feature in several platforms now helps rewrite old code. One user shared how it converted their 2019 Python data scripts to work with 2025 library versions, checking compatibility across 87 files.

While exciting, experts warn these powerful tools need careful supervision. A Google engineer noted Jules sometimes “overcomplicates simple fixes” during testing. As AI takes bigger coding steps, developers will need new skills to guide and check its work.