AI Agents
Pre-trained specialists for every SDLC role
Each base type ships with a curated toolset and system prompt tuned for a specific engineering job. Pick a starting point, then customize model, temperature, iterations, and tools.
What it does
- Senior Developer: 30 tools for code lifecycle tasks
- Code Reviewer: 18 read-only PR analysis tools
- Tech Writer: 17 tools for docs, changelogs, and specs
- Product Manager: 16 tools for planning and triage
- Custom: build your own toolkit from 47 tools
47built-in tools
The rest of AI Agents
- Agent memoryPersistent memory tools let agents recall conventions, recurring issues, and decisions.
- Multi-agent sessionsA coordinator delegates work across specialist agents and synthesizes the result.
- MCP serversConnect remote MCP servers over streamable HTTP or SSE and their tools appear namespaced in every agent run.
- Agent identity & ledgerOpt-inEach agent gets a stable identity, a signed short-lived token, and a ledger of everything it touched.
- Eval harnessOpt-inReplay any past step against a new prompt or model with write tools stripped, then diff what changed.
Try it on your own repository
A free workspace reaches everything above that is not marked opt-in.