HumanLayer
Getting AI Coding Agents to solve hard problems in complex codebases
About the Company
CodeLayer is the best way to get AI to solve hard problems in complex codebases. We help CTOs and VPEs drive the transition to 99% AI-written code in their engineering orgs.
We grew 100% in the last month, we welcomed two YC customers with 50-100 person engineering teams, and we're in paid pilots with several publicly-traded teams with thousands of engineers.
Learn more about our mission, why Stanford says AI coding agents can't solve hard problems in complex codebases, and how we're changing that in our Getting AI to Work in Complex Codebases (with over 400 comments on HN) and our talk at YC from august: Advanced Context Engineering for Coding Agents
Tech Stack
Our tech stack includes:
- Backend: Typescript, Hono, WorkOS, Golang, Rust
- Frontend: TypeScript, React, ORPC, Vite
- Infrastructure: AWS, Docker, Kubernetes, SST, GitHub Actions
- AI: For Harnesses, we Claude Code and Claude Code SDK, OpenCode server and we use pretty much every model provider at this point. Big BAML fans over here as well.
Founders
Building HumanLayer | started coding at 17 at NASA JPL. Spent 7 years as Engineer, SE, PM, Exec at Replicated, a series C dev tools startup. I worked on container orchestrators, helped teams like Hashicorp, DataStax, and H2O.ai deliver and ship their on-prem k8s products. Core improvements to developer experience for Replicated. I stumbled on the Human-in-the-Loop-for-AI problem while building slack-based agents that managed SQL warehouses
Open Positions at HumanLayer (1 Jobs)
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