
Speclint is an AI developer tool that grades your product specs from 0–100 across five critical dimensions before any AI agent or model interacts with them. By using deterministic, regex-based scoring instead of opaque AI models, Speclint eliminates hallucinations in the diagnostic phase and gives you a clear, reproducible signal about spec quality. Integrated as a CLI, GitHub Action, or MCP Server, Speclint fits directly into your existing SDLC and DevOps workflows. Run it locally during development, enforce spec quality thresholds in CI, or plug it into multi-agent orchestration systems so every agent starts from a clean, unambiguous specification. Speclint helps teams reduce back‑and‑forth clarifications, misaligned implementations, and brittle AI workflows caused by vague or incomplete specs. Each run generates an objective score plus dimension-level insights, making it easy to standardize expectations across teams, track improvements over time, and establish quality gates for AI-generated or human-written specs. Whether you are building internal tools, customer-facing features, or complex AI agent systems, Speclint gives you fast, consistent spec feedback for free—so your engineers and agents can focus on execution instead of deciphering requirements.
Enforce minimum spec quality in CI before code or AI generation runs, preventing unclear requirements from reaching development or agents.
Standardize how different teams write specs by providing an objective score and feedback loop during design and planning reviews.
Validate AI-generated specifications with deterministic checks before handing them to downstream models or tools in an agentic workflow.
Give individual developers a quick, local way to self-check PR descriptions, RFCs, or technical specs via the CLI.
Monitor spec quality trends over time to improve documentation practices and reduce implementation rework across the organization.