ResolveIQ Uses AI and Long-Term Memory to Speed Up Production Incident Response

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Engineers at ResolveIQ have built an AI-powered incident response agent designed to help software teams investigate and resolve production failures more efficiently. The system combines real-time incident data with a long-term memory layer, allowing it to draw on historical resolutions from past incidents rather than treating each problem in isolation. Built on a stack including FastAPI, PostgreSQL, React, and Groq-powered AI reasoning, the tool surfaces relevant past fixes when similar issues recur — such as repeated database connection pool exhaustion. A key design principle is that every resolved incident is fed back into the agent's memory, making the system progressively more informed over time. The project was developed around the concept of AI agents that learn through hindsight, aiming to reduce the manual effort engineers spend searching logs, dashboards, and old tickets during high-pressure outages.

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