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Codebase intelligence
Search, map, and reason across projects from small repos to large codebases with durable context.
Why AST chunking beats line windows for code search (2026)
Atlas indexes code one chunk per declaration using tree-sitter, with a line-window fallback, so a search result is a whole function rather than an arbitrary slice of one.
Finding Code Context for Private Teams: Hybrid Semantic + Keyword Search in Atlas
Atlas helps private software teams in 2026 find the right code context using hybrid semantic and keyword search. Securely understand large repositories without sending code to hosted AI.
Atlas Hybrid Semantic + Keyword Code Search for Site Reliability Engineers in 2026
Atlas helps Site Reliability Engineers in 2026 find code context in large, private repositories using hybrid semantic and keyword search, fused by reciprocal rank fusion.
Atlas for Students and Self-Taught Developers: Finding Code Context with Hybrid Semantic + Keyword Search
Atlas helps students and self-taught developers find code context in large or private repositories. Its hybrid semantic and keyword code search, fused by reciprocal rank fusion, supports understanding.
Atlas for ML Engineers: Finding Code Context with Local-first Embeddings in 2026
ML engineers in 2026 can use Atlas to find relevant code context in large, private repositories. Atlas builds code indexes with local Ollama embeddings, keeping sensitive code off third-party servers.
Atlas: Hybrid Semantic + Keyword Code Search for Platform Engineering Teams in 2026
Atlas helps platform engineering teams find the right code context in large or private repositories using hybrid semantic and keyword code search, fused by reciprocal rank fusion.
Atlas for First-Time Terminal AI Users: Finding Code Context with Local-First Embeddings
Atlas helps first-time terminal AI users in 2026 find code context in large or private repositories. It uses local Ollama embeddings, keeping your code off third-party servers.
How Platform Engineering Teams Use Hybrid Semantic + Keyword Code Search in Private AI Workflows with Atlas
Atlas empowers platform engineering teams in 2026 to build consistent internal AI development platforms. Discover how Atlas supports hybrid semantic and keyword code search for private AI workflows.
Atlas knowledge base for reusable team context (2026)
The Atlas knowledge base keeps reusable product, codebase, and workflow context available to AI-assisted development so teams stop rewriting it for every prompt.
What is a terminal-native AI coding agent? (2026)
A terminal-native AI coding agent runs in your shell, reads your repo, and plans and applies changes as diffs. Here is what that means, using Atlas as the example.
AI codebase search: finding code by meaning in Atlas (2026)
Atlas finds code by meaning using hybrid semantic and keyword search fused with reciprocal rank fusion, with AST-aware chunking and optional local embeddings.