Automate AI Coding Agent Verification

The rapid adoption of autonomous coding agents has exposed a critical flaw: models frequently hallucinate task completion, skip steps, or claim to have run tests they haven't. Developers are losing valuable time and API tokens manually verifying outputs and reprompting lazy models. A missing verification layer between the LLM and the local environment prevents these tools from achieving true autonomy.

The recent shift from simple autocomplete to autonomous, agentic coding workflows has amplified the cost of LLM hallucinations. As context windows expand and multi-step reasoning becomes standard, the lack of execution verification has become the primary bottleneck to true AI autonomy.

Rough estimate: The Total Addressable Market includes the broader AI developer tools market, projected to reach several billion dollars. The Serviceable Obtainable Market consists of professional developers actively using agentic workflows, representing a high-intent niche of roughly 1-2 million users willing to pay for reliability.