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Platform
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.
How Atlas keeps AI edits safe with permission controls (2026)
Atlas gates every tool call against allow, ask, and deny rules and shows a unified diff before writing, so automated edits stay auditable and under your control.
Atlas and Model Context Protocol (MCP) support (2026)
Atlas connects to Model Context Protocol servers over stdio, SSE, and HTTP and exposes their tools to the agent, so you can bring your own tools and surfaces.
Keep your code private: local embeddings in Atlas (2026)
Atlas can build its codebase index with local Ollama embeddings, keeping your source off third-party servers while still searching code by meaning.
Compare
Atlas vs Cursor: terminal AI coding agents compared (2026)
A grounded 2026 comparison of Atlas and Cursor across workflow, change review, extensibility, and pricing for developers choosing an AI coding agent.
Atlas vs GitHub Copilot: agent vs autocomplete (2026)
How Atlas, a terminal-native AI coding agent, compares to GitHub Copilot's editor-embedded autocomplete and chat in 2026.
Atlas vs Aider: terminal AI coding tools compared (2026)
Atlas and Aider are both open-source terminal AI coding tools. A 2026 comparison of their interfaces, review models, and extensibility.