Mindlap provides an autonomous execution platform that runs multiple parallel AI agents to code, test, and deploy software continuously, allowing engineering teams to focus on high‑level decisions. The system integrates with existing tools such as source control, issue trackers, CI/CD pipelines, and popular coding CLIs, preserving context across sessions so work progresses without repeated re‑explanations. Teams can steer the agents while the platform handles the execution loop, enabling continuous shipping of impact.
Funding
Funding not disclosed
Founders
Product
Problem
Software engineering teams spend significant time on manual handoffs, repeatedly re‑explaining codebases and constraints, and their progress stalls whenever a human is unavailable, leading to delayed releases and inefficient use of developer effort.
Solution
Mindlap offers an autonomous execution platform that runs multiple parallel AI agents to code, test, and deploy software continuously. The system retains decisions, outputs, and constraints across sessions, so context is never lost and each run builds on the previous one. Engineers steer the workflow by defining review gates, while the platform handles task routing, retries, and sequencing without manual intervention. Mindlap integrates with existing source‑control, issue‑tracking, CI/CD pipelines, and a range of AI coding tools (Claude, Codex, Gemini, Opencode, Cursor, GitHub Copilot). The solution enables 24/7 execution, turning individual developer effort into amplified team velocity and reducing review cycles by up to half.
Target Audience
Mindlap is aimed at software engineering and DevOps teams that want to accelerate delivery by automating routine development tasks, especially organizations adopting AI‑first development workflows.
Features
- Parallel AI agents orchestrate coding, testing, and deployment in fast “laps” that run continuously without human triggers
- Persistent context storage automatically carries forward decisions, outputs, and constraints between laps
- Native integrations with GitHub, issue trackers, CI/CD systems, and multiple AI coding CLIs for seamless adoption
- Configurable human‑in‑the‑loop review gates that pause execution only at defined decision points
- Command‑line interface and API enable setup of a project, repository connection, and workflow definition in under a day
- Continuous 24/7 operation with agents scheduled to run autonomously, eliminating downtime between work bursts
- Reported productivity gains: up to 5× more agent hours per human and a 50% reduction in review time