Giga AI

Giga AI is a context-engineering tool that reads and summarizes an entire codebase so AI coding assistants stop hallucinating and produce working, project-aligned code. It generates multiple rule and summary files that feed AI assistants with the project structure, endpoints, data models, and component relationships. Giga runs as an IDE/extension helper and a web-accessible analyzer so teams and individual developers get consistent, reliable AI output.

• Project analysis — Scans your repository and produces multiple views and summary files that describe components, APIs, data structures, and wiring.
• Context rules generation — Creates rule files that keep your AI focused on project goals and reduce hallucinations when generating code.
• IDE & assistant integrations — Works alongside VS Code, Cursor, Claude Code, Codex, Copilot and other assistants to improve their suggestions without replacing them.
• Self-learning memory — Maintains and updates team or project context so the AI adapts as the codebase changes.
• Quick setup — Install the extension, click Analyze, and Giga creates summaries and rules; updates run automatically as you change code.
• Privacy-first operation — Code is analyzed and deleted; Giga states it does not store or train on users' code and supports excluding files via .gitignore.

To get started, install the Giga extension for your preferred IDE or use the web analyzer, run a one-click analysis of your repo, and connect the generated context to your AI assistant. For teams, enable shared context and dashboards to sync knowledge across developers.