Sita is an AI-powered code intelligence platform that uses AST parsing and symbol resolution to map every function, type, class, and variable in your codebase. It automatically generates documentation, creates task-scoped context packs that minimize token usage by 32%, and integrates with Claude Code, Cursor, and Cline via MCP servers. Fully open source, Sita runs on your infrastructure for complete data privacy and control.
Sita is an AI-powered code intelligence platform that uses AST parsing and symbol resolution to map every function, type, class, and variable in your codebase. It automatically generates documentation, creates task-scoped context packs that minimize token usage by 32%, and integrates with Claude Code, Cursor, and Cline via MCP servers. Fully open source, Sita runs on your infrastructure for complete data privacy and control.
Screenshot of Sita homepage — captured March 21, 2026 by PopularAiTools.ai

Uses Abstract Syntax Tree parsing and symbol resolution to extract every function, type, class, and variable with consistent navigation across your entire stack.
Traverses the dependency graph and uses LLMs to write docs for each file and definition, including purpose, dependencies, and usage patterns.
Creates task-scoped context packs that minimize token usage while maximizing accuracy, delivering a 32 percent reduction in input tokens.
Integrates into your workflow through MCP servers that work with Claude Code, Cursor, Cline, and other popular AI coding tools.
Fully open source with no access to your codebase or data. You run it, you control it, ensuring complete privacy and security.
Reduces AI expenditures by 30 percent, saves developers 25 hours per month, releases features 37 percent faster, and decreases bugs by 68 percent.
Clone the open-source repository or install via your preferred package manager on your infrastructure.
Point Sita at your repository and it scans and maps your entire codebase using AST parsing.
Run the documentation generator to create comprehensive docs for every file, function, and class.
Configure the MCP server to connect Sita with Claude Code, Cursor, or other AI coding tools.
When working on tasks, Sita provides optimized context packs that give AI tools exactly the relevant information.

Open source free | Team $300/seat/mo

AI coding assistant with code search and context, more established but less focused on optimization.
AI code completion with team learning, more affordable but less comprehensive mapping.
AI test generation and code analysis, focused on testing rather than documentation.
Open-source AI pair programming, simpler but with less advanced context management.
Sita addresses a real pain point in AI-assisted development: giving AI tools the right context. The AST-based approach is more thorough than simple file reading, and the 32 percent token reduction translates directly to cost savings. The open-source model means risk-free evaluation, and MCP integration works with whatever AI coding tool you prefer. The $300 per seat team plan is steep, but the reported 23x ROI from onboarding improvements suggests it pays for itself in larger engineering orgs. Rating: 4.2/5
Visit the official Sita website to get started

Yes, Sita is fully open source. You can self-host it with complete control over your data.
Sita integrates via MCP servers with Claude Code, Cursor, Cline, and other MCP-compatible tools.
Task-scoped context packs include only relevant code, reducing input tokens by 32 percent.
Sita uses AST parsing supporting major programming languages. Check docs for the full list.
Most repositories are fully scanned and documented within minutes to an hour.
Yes, it traverses the dependency graph and uses LLMs to write comprehensive documentation.
No, the open-source version runs entirely on your infrastructure.
Sita reports 23x ROI from onboarding improvements and 25 hours saved per developer per month.
Last updated: March 21, 2026 | Review by PopularAiTools.ai
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