Stop babysitting AI. chAIrman hires, assigns, monitors, and retires autonomous Claude Code agents that write production-grade code without constant hand-holding.
A Claude Code agent is a fully autonomous instance of Anthropic's Claude that operates inside your project directory. Unlike copilots that suggest the next line, agents take ownership of entire tasks: reading your codebase, planning changes, writing code across multiple files, running tests, and committing results.
Each agent runs as an independent Claude Code process with its own context window, file access, and shell permissions. It doesn't wait for you to accept suggestions line by line. You describe the outcome you want, and the agent figures out the implementation.
Every Claude Code agent in chAIrman follows a structured lifecycle designed for predictability and accountability.
Create an agent with a specific role, job description, and model choice (Sonnet for speed, Opus for complexity). The agent receives your project's CLAUDE.md and any relevant skills from the library. It knows the codebase before it writes a single line.
Give the agent a task through the backlog system. Each task defines exactly which files the agent can touch, which are off-limits, and what success looks like. Budget checks run before the agent starts. Dependencies on other agents are respected automatically.
Watch agents work in real-time through the dashboard. See tool calls, file edits, and terminal output as they happen. Track costs per agent, per task, and per project. Get desktop notifications when tasks finish or if budgets hit 80%.
When an agent fails, chAIrman automatically replaces it with a fresh agent that inherits the original's handoff notes. Up to 3 retries by default. The replacement knows what the previous agent attempted and where it went wrong.
Completed agents are archived to the alumni roster with their full history: tasks completed, files changed, cost, success rate. Their knowledge is preserved. You never lose institutional memory when an agent finishes its job.
Need an agent that already knows your codebase? Rehire a veteran from the alumni archive. The new agent gets the veteran's job description plus experience notes, cutting ramp-up time to near zero.
Real features don't happen in isolation. The database schema must exist before the API routes, and the API must work before the frontend can integrate. chAIrman's pipeline system lets you express these dependencies so agents execute in the correct order, automatically.
Agents that don't depend on each other run in parallel. Agents that do depend on each other wait until their prerequisites finish. Cycle detection prevents deadlocks. The critical path is computed so you know exactly what's bottlenecking your pipeline.
depends_on: ["agent-id-1", "agent-id-2"] when assigning tasksPasting tasks into Claude Code works for one-off edits. It falls apart when you need multiple agents coordinating on a real feature.
Each agent's ticket defines which files it can touch and which are off-limits. Two agents never edit the same file simultaneously. No merge conflicts, no overwritten work, no wasted tokens re-reading code another agent just changed.
Every agent automatically receives your CLAUDE.md, handoff notes from predecessor agents, team messages, and up to 3 matching skills from an 857-file library. You don't manually paste context; the system injects exactly what each agent needs.
Set a dollar budget per project. chAIrman checks the budget before every task assignment and refuses to spawn agents that would exceed it. Per-agent cost tracking shows you exactly which tasks are expensive and which models are cost-effective.
When an agent finishes, it produces a structured handoff document listing completed tasks, files changed, blockers hit, and recommendations for the next agent. This institutional memory compounds across your entire project timeline.
Join developers who ship faster with chAIrman. From $19.99/mo.