Use case
AI app development to ship faster with a small team
Startups live and die on speed, but a small team can only do so much at once. Agentcode adds throughput without adding headcount.
In short
Agentcode is an autonomous AI coding agent that helps startups do AI app development with a small team. You describe a feature or fix, and the agent plans it, edits your codebase, runs your tests, and opens a pull request your team reviews and merges. It is review-first and never merges on its own, so even when you are moving fast a human still approves every change. It works on your existing GitHub or GitLab repo and CI, and it never trains on your code.
The problem
You need to ship at the pace of a big team, but you have the headcount of a small one.
How Agentcode helps
Give Agentcode the well-defined work so your engineers can focus on the hard product calls. It takes a task from description to a tested pull request: it plans, edits the relevant files, runs your suite, and opens the PR. Your team reviews and merges, keeping your bar for quality even while you move quickly. You add real throughput without adding people, and because nothing merges without review you protect your codebase while you grow.
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.