Agent Readiness Infrastructure
Software was built for humans. The next users are AI agents.
Website · Free Scan · Blog · Twitter
Glintbase helps companies measure, understand, and improve how AI agents discover, navigate, and operate software — across documentation, APIs, onboarding, SDKs, and support surfaces.
We sit between existing software and the agents that need to operate it: continuously extracting, structuring, and optimizing the knowledge those agents require.
| Capability | Why it matters |
|---|---|
| Runtime analysis | Evaluate software as it behaves — not only as docs claim |
| Graph intelligence | Map entities, surfaces, endpoints, and concepts across a codebase |
| Semantic understanding | Build representations agents can navigate from structure + meaning |
| Journey simulation | Trace agent task paths and surface failures before production |
| 🌐 Product | glintbase.dev |
| 🔍 Free agent-readiness scan | scan.glintbase.dev |
| 📝 Research & writing | Blog |
| ✉️ Enterprise / deep audit | enterprise@glintbase.dev |
As we open-source components, they’ll be pinned and listed here.
We're writing in public about the problems we solve:
- What AI readiness means for modern codebases
- Why most RAG setups fail on real product surfaces
- How docs drift breaks agent operability
- The future of agent-operable software
- Website: glintbase.dev
- X/Twitter: @glintbase
- Enterprise: enterprise@glintbase.dev
Making software operable by AI agents.
© Glintbase