Lintlang
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An open-source static analysis tool for AI agent instructions to catch ambiguity and risks before runtime.
About
What does Lintlang do?
LintLang is a static analysis tool for AI agent instructions that catches ambiguous language and contract defects in tool descriptions, system prompts, and configuration files before a model runs. It provides local, deterministic checks without LLM calls, helping developers ensure clear instructions, better reviews, and fewer surprises. LintLang serves developers and teams working with AI agents by integrating into their existing workflows for repeatable checks.
Is Lintlang trustworthy and reputable?
StartupHub's Data Trust & Reputation score for Lintlang is 45 out of 100, based on site security posture and privacy practices.
When was Lintlang founded?
Lintlang was founded in 2026.
What industry does Lintlang operate in?
Lintlang operates in AI Agent, Developer Tools, Static Analysis, AI Safety, AI Observability, DevSecOps.
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“Agent configs can pass validation and still be bad instructions. What should we lint before runtime?. Most of the failures we wanted to catch were boring but consequential: vague tool descriptions, overlapping tool boundaries, missing stopp…”
View on Reddit“I ran my AI agent linter in my own config. It found 11 bugs. (open source, no LLM call, easy to use!). Built lintlang to catch vague instructions, conflicting rules, and missing constraints in AI agent configs before they cause runtime fail…”
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