AI coding agent
AI Code Assistant: the AI powered coding assistant that ships a pull request
Agentcode is an autonomous AI coding agent that plans your task, edits the code, runs the tests, and opens a PR. You review and merge.
12,400 PRs opened · 94% pass tests before review
Pick a task
Plan
- planning
Files changed
Test run
Pull request
You review and merge. Agentcode never merges on its own.
Works with your repo, your stack, your CI
SOC 2-track controls. We never train on your code. Review-first: the agent never merges.
What is an AI code assistant?
An AI code assistant is a tool that writes and changes code for you using a large language model. The current generation splits into two kinds. In-editor assistants (GitHub Copilot, Cursor) autocomplete and chat while you type, so you stay at the keyboard. Autonomous coding agents like Agentcode take a whole task instead: they plan the change, edit the files, run your test suite, and open a pull request you review and merge.
The practical difference is where your attention goes. With an in-editor assistant you accept or reject keystrokes. With an agent you review finished work, the same way you review a colleague's PR. Agentcode is review-first by design: it runs on your existing GitHub or GitLab repo and CI, it never merges on its own, and it never trains on your code.
| In-editor assistant | AI coding agent (Agentcode) | |
|---|---|---|
| Unit of work | A line, a block, a chat answer | A pull request with passing tests |
| You are | At the keyboard, accepting suggestions | Reviewing finished work, on your schedule |
| Runs | Locally, in your editor, while you watch | Asynchronously on your repo and CI |
| Tests | You run them after you accept | The agent runs them before you look |
| Merges code | You write and merge it | Never: a human reviews and merges |
Last updated: July 2026
Why Agentcode
An AI code assistant that ships, not just suggests
Most tools help you type. Agentcode does the task end to end and hands you a reviewable pull request with passing tests.
Ship the backlog, not just suggestions
The agent's unit of work is a whole pull request, not a single line. Clear well-scoped tickets and bugs end to end instead of typing them yourself.
Learn moreTests pass before you look
Agentcode runs your real test suite and will not open a pull request until it is green. Every PR shows the plan, the diff, and a passing test run.
Learn moreYou stay in control: review and merge
The agent opens a pull request; you review and merge. It never merges on its own, so autonomy is safe to adopt.
Learn moreWorks on your repo, your stack, your CI
Connects to your existing GitHub or GitLab repo and runs your commands. No migration, no new IDE to learn.
The loop
Describe, plan, test, pull request
The same four steps you just watched in the console, on every task.
-
01
Describe the work
Write a task in plain language: a feature, a bug, a refactor. Drop in a ticket or a one-line description. The agent reads the relevant parts of your codebase to understand the context.
-
02
The agent plans it
Agentcode writes a short numbered plan of how it will make the change, which files it will touch, and how it will verify the result, so you can see the approach before any code is written.
-
03
It edits and runs the tests
The agent edits the files across your codebase and runs your real test suite. It iterates until the tests pass; if it cannot get them green, it tells you what blocked it instead of shipping.
-
04
It opens a pull request
You get a pull request on a branch named for the task, with the plan, the diff, and a green test run. Review it, request changes, and merge when you are ready. The agent never merges itself.
From the teams using it
“The backlog of small, well-scoped tickets used to sit for weeks. Now I describe one, the agent opens a PR with passing tests, and I review it between meetings. It is a teammate that does the grunt work and hands me something I can actually read.”
Maya Cohen
Staff Engineer, payments platform
Pricing
Plans for solo devs and engineering teams
Every plan is paid; the demo is free to try. Prices shown per month, billed yearly.
Starter
Solo developers and indie hackers
billed yearly
- 1 connected repo
- Task to pull request, on your repo
- Plan, diff, and a green test run on every PR
- Python, TypeScript, JavaScript, and Go
- GitHub and GitLab
- Review-first: the agent never merges
Pro
Power users and small teams
billed yearly
- Up to 5 connected repos
- Everything in Starter
- Priority agent runs
- Parallel tasks
- Custom test and lint commands
- Branch and PR conventions
Team
Growing engineering teams
billed yearly
- Unlimited repos
- Everything in Pro
- SSO and team seats
- Shared usage and pooled runs
- Role-based controls and audit log
- Priority support
Enterprise
Org-wide and regulated teams
talk to us
- Self-hosted or VPC deployment
- Everything in Team
- SOC 2 report and DPA
- Custom model and CI integration
- SLA and dedicated support
- Named solutions engineer
No card to start. See full plan details.
How it compares
Agentcode vs the assistants you know
Copilot, Cursor, and Claude Code are strongest in the editor, and each now runs a cloud agent too. Agentcode does one job: a reviewable PR with passing tests, on GitHub and GitLab.
Looking to switch?
Comparing the cost of each? Read what AI coding assistants actually cost, or weigh the whole field in our guide to the best AI for coding.
FAQ
Questions, answered
No. Agentcode opens a pull request; you review and merge. The agent never merges on its own. Its unit of work is a reviewable diff with a written plan and a passing test run, delivered into the pull request flow your team already trusts. Nothing reaches your main branch until a person approves it, so adopting an autonomous agent does not mean giving up control of what ships.
An AI coding agent is software that completes a whole coding task end to end, not just a single suggestion. You describe a feature or a bug, and the agent plans the work, edits multiple files across your codebase, runs the test suite, and opens a pull request for review. It is the layer above autocomplete and inline chat: instead of suggesting the next line while you type, it does the task and hands you a reviewable result.
Copilot and Cursor assist you inside the editor with autocomplete and inline chat while you write code. Agentcode works asynchronously on your repository and delivers a finished pull request with passing tests. You do not have to babysit a chat window or learn a new IDE; you describe the task, the agent runs, and a reviewable PR shows up in GitHub or GitLab. It complements an in-editor assistant rather than replacing your editor.
Agentcode is review-first and never trains on your code. Your repositories, prompts, and diffs are not used to train any model, ours or anyone else's. Code is encrypted in transit and at rest, access is least-privilege and scoped to the repos you connect, and we operate under SOC 2-track controls. Because the agent only ever opens a pull request, you see exactly what it changed before anything is merged.
Agentcode works with Python, TypeScript, JavaScript, and Go today, plus the common frameworks and test runners around them, including PyTest, Jest, Vitest, and Playwright. It connects to your existing GitHub or GitLab repository and runs your real test and lint commands, so it follows your stack and your CI rather than asking you to migrate to a new one.
Agentcode will not open a pull request until the test suite is green. If it cannot get the tests passing, it tells you what blocked it instead of shipping broken code. And because the result is always a pull request, the worst case is a PR you read and close. You lose nothing: you never have unreviewed code on your main branch, and you only merge what you are happy with.
No. Agentcode runs on your repository through GitHub or GitLab, so there is nothing to install in your editor and no new IDE to learn. You keep your current editor, your current workflow, and your current CI. The agent simply opens pull requests you review like any other.
You describe a task in plain language. The agent reads the relevant parts of your codebase, writes a short numbered plan, edits the files it needs, and runs your test suite. When the tests pass, it opens a pull request that shows the plan, the diff, and the test run on a branch named for the task. You review the PR, request changes if needed, and merge when you are ready.
Plans start at $29 per month billed yearly for solo developers, with Pro at $59 per month for power users and small teams, and Team at $129 per month for growing engineering teams. Every plan is paid; there is no free tier. You can try the interactive demo on this page for free to see exactly how a task becomes a reviewable pull request before you sign up.
More questions? Read the full FAQ or contact us.
Describe the work. Get a pull request.
Connect a repo and let the agent clear the backlog. You review and merge what ships.