The developer toolkit for testing, analyzing, optimizing, and versioning AI prompts. Stop debugging vague LLM outputs in production.
Paste any LLM prompt below to analyze quality score, detect security issues, and test auto-fix.
Based on structure, clarity, non-ambiguity & security guidelines.
Built for developers and AI engineers who demand deterministic reliability and safety in production prompts.
Detects hardcoded API keys (OpenAI, AWS, Anthropic, GitHub) and flags potential prompt injection vulnerabilities before they hit version control.
Verifies role specification, system instructions, explicit constraints, output formats, and flags vague language like "make it good".
Instantly re-format prompts locally, or use `--magic` to trigger AI-powered prompt expansion for state-of-the-art prompt architecture.
Use PromptLint seamlessly across your CLI, IDE, or AI Agent workflows.
Rich terminal output with color-coded severity badges and exit codes.
Real-time IDE diagnostics via Language Server Protocol (LSP).
Exposes native tools to Claude Code, Antigravity, and Cursor agents.
Integrate linting programmatically into unit tests and CI pipelines.