Pricing
AI coding platform pricing, simple and paid
Every plan is paid; the interactive demo is free to try. Prices are shown per month, billed yearly. No card to start the signup.
Last updated: August 2026
Starter
Solo developers and indie hackers
billed yearly, or $39/mo monthly
- 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, or $79/mo monthly
- 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, or $159/mo monthly
- 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
- DPA on request
- Custom model and CI integration
- Priority support with a named contact
- Named solutions engineer
Every plan ships pull requests with passing tests, review-first. See how it works.
“What sold the team was that it never merges. Every change comes in as a pull request with the plan and a green test run. It slots into our review process instead of asking us to trust a black box, so adopting it was an easy yes.”
Daniel Okafor
Engineering Manager, B2B SaaS
Pricing FAQ
Common questions
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, and access is least-privilege and scoped to the repos you connect. We hold no SOC 2 attestation today and will not imply otherwise; security documentation is available on request. 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.