What changed
GitHub made two closely related Copilot moves on April 24, 2026. First, it started rolling out GPT-5.5 to GitHub Copilot for Pro+, Business, and Enterprise users across VS Code, Visual Studio, Copilot CLI, the Copilot cloud agent, github.com, mobile, JetBrains, Xcode, and Eclipse. GitHub says its early testing showed stronger performance on complex, multi-step agentic coding tasks and better results on real-world problems that earlier GPT models could not reliably resolve.
Second, GitHub shipped inline agent mode in public preview for JetBrains IDEs. That brings agent-mode capabilities into the existing inline chat flow inside the editor instead of forcing a switch to a separate chat surface. The same update also added inline previews for Next Edit Suggestions, better support for far-away edits, and broader auto-approve controls for terminal commands and file edits.
Why it matters
The important shift is not just a new model picker entry. GitHub is tightening the product loop between better reasoning and where the work actually happens: inside the editor, in the current file, with tool calls and edits close to the code. That is a much more practical direction for AI coding products than treating the model as a detached chatbot.
For developers who live in JetBrains IDEs, this also matters because editor-native agent workflows have been moving fastest in VS Code. GitHub is signaling that JetBrains is now part of the same agentic product roadmap, not a secondary surface.
Practical takeaways for builders
- Use GPT-5.5 selectively. GitHub is launching it with a 7.5x premium request multiplier, which makes it better suited to debugging, refactors, and multi-file work than routine low-value prompts.
- Expect admin gates in teams. GitHub says Business and Enterprise admins need to enable the GPT-5.5 policy, and JetBrains users on managed plans may also need the Editor preview features policy enabled for inline agent mode.
- Treat auto-approve as real execution power. GitHub explicitly warns that global auto-approve can cover potentially destructive actions such as file edits, terminal commands, and external tool calls. That is useful, but it raises the bar for repo hygiene and review discipline.
The bigger pattern
The most interesting AI product trend this week is that coding assistants are becoming less about chat and more about model + tools + in-editor execution. GitHub's April 24 releases are a clean example of that: a stronger model matters more when the product can apply it directly in the working context where code changes are made and reviewed.