They pick up Jira tickets, plan implementation, write code, push PRs, and respond to code review feedback. The interaction model is the same as working with a remote developer - Slack messages, GitHub PRs, ticket updates.
Each agent maintains persistent context about the codebase and team conventions across sessions. They build familiarity with your architecture over time rather than starting cold each interaction.
Built with autonomous agents that handle the full dev lifecycle, not just code generation. Currently supports Slack, GitHub, and Jira integrations.
Known limitations: works best on well-defined tickets with clear acceptance criteria. Complex architectural decisions and ambiguous product requirements still need human judgment. Performance varies by codebase complexity.
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