Dev Tools
secure-code-game
Learn to code securely while having fun through our popular open source in-editor experience, designed for developers, students, and anyone curious about sec…
★ 2.8k starsMIT
View guide →Model-agnostic security rules for AI coding workflows — secure by default.
rules is an open-source dev tools project by project-codeguard (project-codeguard/rules on GitHub). It has 424 GitHub stars and 56 forks, is released under the Custom license, and was last updated on GitHub on 29 January 2026.
Install the CodeGuard rules into your workflow.
Point your AI coding tools at the rules.
The assistant follows secure-by-default practices.
Verify generated code meets the baseline.
Works with any AI coding model.
Safe patterns baked into generation.
Versionable, reviewable security rules.
Lives where your assistants work.
One standard across all tools.
Inspect and extend the rules.
Download the source and move into the project folder.
git clone https://github.com/project-codeguard/rules.git
cd rulesEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt uses a custom license — read the license file before commercial use.
It is model-agnostic by design — any coding assistant.
No — it raises the baseline; human review still matters.
The ruleset format is meant to be extended — check the docs.
Linters check finished code; this steers the AI while it writes.
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Open-source security framework for AI coding agents — secure by default.
A deeply tunable AI coding assistant that works with every major model.
Research into how agentic AI coding assistants work. Reconstructed prompt patterns, agent coordination, and security classification
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Free and open — grab the source, star the repo, and start creating.