WhatA platform that lets developers dispatch, monitor, and verify autonomous coding agents that work on branches overnight with built-in quality gates before merge.
SignalDevelopers are already running AI agents to generate dozens of PRs per week but have no reliable way to verify correctness at scale, creating a massive quality control gap between agent output velocity and human review capacity.
Why NowClaude Code, Codex, and Gemini CLI have made autonomous coding agents viable in the last few months, but the orchestration and verification layer is completely missing — developers are duct-taping workflows together manually.
MarketSoftware teams and solo developers using AI coding tools; TAM grows with AI dev tool adoption (estimated $50B+ developer tools market). Competitors like Devin focus on the agent itself, not orchestration and verification of multiple agents.
MoatWorkflow data and verification patterns compound over time — the platform learns which test strategies catch real bugs for different codebases, creating a data flywheel that improves quality gates.
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