AI software engineer for engineering workflows

Agent22 turns tracked work into review-ready pull requests, automates deterministic repository and API steps, and keeps merge decisions with your engineering team.

What Agent22 does

Agent22 is built for teams that want AI-assisted software engineering without giving up control of code review and merge policy.

  • Issue-to-PR automation: convert tracked work items into implementation-ready tasks.
  • Deterministic engineering workflow: keep Git operations and API plumbing reliable and repeatable.
  • Human-reviewed pull requests: agents prepare code changes; maintainers approve and merge.
  • Auditability by default: preserve clear handoffs, traceability, and decision ownership.

How Agent22 works

  • 1. Select a ticket from your issue tracker as the single source of truth.
  • 2. Run deterministic setup and implementation workflows from your repository context.
  • 3. Open a review-ready pull request with clear context for reviewers.
  • 4. Merge only after human review and approval.

Supported integrations

  • Issue systems: designed for current and future work providers.
  • Code platforms: designed for current and future repository providers.
  • Workflow model: deterministic automation with human approval gates

Frequently asked questions

  • What is Agent22?

    Agent22 is an AI software engineer that reads tracked work, runs deterministic implementation steps, and opens review-ready pull requests for humans to approve.

  • How is Agent22 different from generic coding assistants?

    Agent22 is workflow-first. It integrates with work management and code hosting systems, keeps deterministic Git and API plumbing out of the model loop, and enforces human approval at merge time.

  • Does Agent22 merge code automatically?

    No. Agent22 creates branches and pull requests. Your team keeps final control over review, approval, and merge decisions.

  • Why keep deterministic work out of the model loop?

    Keeping deterministic repository and API work out of the model loop reduces token usage, helps teams hit usage limits less often, lowers operating cost, and avoids unnecessary compute overhead.

  • Do I bring my own tokens and keys?

    Yes. You bring your own keys for the model provider you choose. Agent22 currently supports OpenAI, Cursor, Claude, and OpenCode Zen.

The Hub - Coming soon

Screenshot of the Agent22 Hub interface, showing a list of agent instances and their statuses.