GitHub has grown far beyond a place to host code — today it's an entire ecosystem covering CI/CD, AI-assisted development, security, package management, and team collaboration. Whether you're new to the platform or just want a single reference point, here's an alphabetical list of GitHub's major products and features, each linked to its official page - GitHub Actions GitHub Advanced Security GitHub Apps GitHub CLI GitHub Code Review GitHub Code Security GitHub Codespaces GitHub Container Registry GitHub Copilot GitHub Copilot Business GitHub Copilot CLI GitHub Copilot Enterprise GitHub Copilot Extensions GitHub Dependabot GitHub Desktop GitHub Discussions GitHub Education GitHub Enterprise Cloud GitHub Enterprise Server GitHub Gist GitHub Importer GitHub Innovation Graph GitHub Issues GitHub Marketplace GitHub Mobile GitHub Models (retiring July 30, 2026) GitHub Packages GitHub Pages ...
Every country has a constitution. India has one of the longest and most detailed in the world. It lays down rights, duties, and the framework for government. We know constitutions guide nations. Some AI models have constitutions too. Not for countries, but for machines. Anthropic started this idea. They gave their model Claude a Constitution. And it wasn’t written by engineers alone. It was written by philosophers — Amanda Askell led, Joe Carlsmith contributed, with Chris Olah and Jared Kaplan adding their voices. They didn’t just code rules. They wrote values. Honesty. Compassion. Safety. Wisdom. The Constitution talks to Claude as if it were a person. It says things like “Claude should cultivate virtue.” It says “Claude should avoid gossip.” It even mentions Claude’s “wellbeing and psychological stability.” That sounds absurd, doesn’t it? An AI told not to gossip. An AI told to care about its wellbeing. Yet that strangeness is deliberate. By framing Claude in human terms, Anthro...
In response to a question about the feasibility of effective code reviews for large (e.g., 500-line) AI-generated PRs like those from Claude, especially when reviewers lack deep codebase familiarity in new projects or fast-paced environments, Uncle Bob Martin and Grady Booch have contrasting views Uncle Bob Martin advocates metrics-based oversight (test coverage, complexity, dependencies) and higher-level management over line-by-line AI code review, while Grady Booch stresses manual verification for vulnerabilities, dead code, and performance factors. Uncle Bob Martin : " I don’t review code written by agents . I measure things like test coverage, dependency structure, cyclomatic complexity, module sizes, mutation testing, etc. Much can be inferred about the quality of the code from those metrics. The code itself I leave to the AI. Humans are slow at code. To get productivity we humans need to disengage from code and manage from a higher level." Grady Booch : "Unlike B...
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