Feature
AI Code Generator - Ship Whole Features, Not Snippets
Describe what you want built and Agentcode writes the actual code across the files that need to change. The result is not a snippet to paste, it is a finished pull request you can read, test, and merge.
In short
An AI code generator is a tool that turns a plain-language task into working source code. Most stop at autocomplete or a single function, but Agentcode generates whole features across multiple files in your existing repo, runs your test suite, and packages the work as a reviewable pull request. Because every change arrives as a PR with a plan, a diff, and green tests, you stay in control and merge only what you approve. Agentcode never trains on your code and never merges on its own.
Features, not autocomplete
Agentcode edits every file a change touches, including tests and config, so you get a complete unit of work instead of a fragment to wire up by hand.
Grounded in your codebase
It reads your existing patterns, naming, and dependencies before writing, so generated code matches how your team already builds.
Delivered as a PR
The output is a pull request on your GitHub or GitLab repo with the plan and diff attached, ready for normal review. You review and merge.
See it in action
Watch the agent run a task
Pick a task
Plan
- planning
Files changed
Test run
Pull request
You review and merge. Agentcode never merges on its own.
More of what the agent does
See the whole loop on the how it works page, or compare Agentcode to GitHub Copilot.
Put the agent to work
Describe a task and get a pull request you review and merge.