TeaQL
AI-native runtime that encodes engineering lessons into durable infrastructure
Visit teaql.io ↗What is TeaQL?
TeaQL is a framework designed for AI coding agents and modern application development. It provides a typed, auditable capability sandbox that turns recurring engineering knowledge into persistent infrastructure across programming languages, data systems, and cloud services. Rather than growing prompts with each failure, TeaQL encodes lessons into models, generators, runtimes, tests, and verification systems that propagate across projects.
The platform includes a Rust runtime library and an Agent Kit that implements harness engineering workflows. It helps teams preserve engineering decisions permanently, improve capabilities everywhere in the stack, and reduce repeated failures by converting them into durable, testable implementations that future projects inherit automatically.
Momentum
Daily activity over the last 30 days: upvotes, unique visits, new GitHub stars and Hacker News points.
How do we know it's vibe coded?
vibetrend discovered TeaQL automatically. Evidence: GitHub teaql/teaql-rs; repo has AGENTS.md. View source.
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