Use case
AI software development companies juggling many repos
Agencies and dev shops switch between client repos all day, each with its own stack and standards. Agentcode does the context-switching for you.
In short
Agentcode is an autonomous AI coding agent that helps agencies and AI software development companies work across many client repositories. You describe a task in any client project, and the agent plans it, edits that codebase, runs that project's tests, and opens a pull request your team reviews and merges. It is review-first and never merges on its own, so every client change is approved by a human first. It works on each client's existing GitHub or GitLab repo and CI, and it never trains on your code.
The problem
You jump between client repos all day, and reloading the context of each one burns hours you cannot bill.
How Agentcode helps
Run Agentcode against each client repository it has access to and let it absorb the context for you. For a task in any project it plans the change, edits the right files, runs that project's test suite, and opens a pull request that fits that client's conventions. Your engineers review and merge, keeping ownership of quality across every account. You move faster on more projects at once without ever letting an unreviewed change land in a client's codebase.
What the agent brings to this work
See it run
From task to pull request
Pick a task
Plan
- planning
Files changed
Test run
Pull request
You review and merge. Agentcode never merges on its own.