Flightdeck
AI agents that think, coordinate, and build as a team.
14 followers
AI agents that think, coordinate, and build as a team.
14 followers
Flightdeck turns AI coding agents into an autonomous engineering team. Agents dynamically decompose problems, communicate to coordinate, and schedule their own work — no predefined workflows. Watch it all in a real-time dashboard. 8 providers. 14 roles. Zero config.
Free
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Hey Product Hunt! 👋
I built Flightdeck because I want AI to work autonomously for the long haul — to take ideas and turn them into real, working software. Not toy demos. Real products.
The Problem: The Human Engine
A single AI agent inevitably loses momentum. It stalls and waits for input, forcing you to constantly prod it past every decision point. You can try forcing an agent into a recursive loop to keep it working, but a loop is just a metronome. It operates in an echo chamber, often just compounding mistakes into "hallucination debt."
The Insight: Teams are Self-Propelling AND Self-Correcting
Real engineering requires friction and communication. Flightdeck is built on the reality that multiple specialized perspectives create a fundamentally different dynamic. When agents work as a coordinated team:
Creative Friction: When an Architect agent proposes a design, Dev agents don't just blindly accept it — they debate the API in a group chat to expose edge cases.
Continuous Momentum: The Architect's design creates tasks for Devs; the Devs' code creates work for Reviewers. Each agent's output is another's input, creating a self-sustaining engine.
Cross-Validation: Reviewers with isolated contexts catch the bugs that a single, overloaded agent would miss.
Instead of you pushing one agent forward, the team keeps itself running and accountable. You stay at the strategic level — setting goals and steering — while they handle the execution. Watch the whole team work in real-time, or step away and review the session later with key decisions and progress report.
The Proof: Dogfooding v0.4
Flightdeck v0.4 was built by a crew of 10+ AI agents orchestrated through Flightdeck itself. I led the strategy while they handled implementation. They dynamically decomposed tasks into dependency graphs, argued over implementation details, reviewed each other's code, and shipped. The multi-agent dynamic produced significantly better, more resilient code than any single agent could.
Try it out:
Works with Claude, Copilot, Gemini, Codex, Cursor, and more — zero config. Open source, runs locally, MIT license. You can get your autonomous team running in under 2 minutes:
`npm install -g @flightdeck-ai/flightdeck && flightdeck`
What idea would you turn into a product if you had an AI engineering team ready to go right now?