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AstraCode
Local AI code editor for devs and engineering teams
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AstraCode - 2026 Pricing, Features, Reviews & Alternatives


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Last updated: October 2026
AstraCode overview
What is AstraCode?
AstraCode is a locally deployed AI code editor that operates across an entire repository, not just the active file. Developers describe a change in plain language; the agent plans the edits, executes them, runs the test suite, and surfaces results as individual hunks for acceptance, rejection, or manual adjustment before anything is committed. Because the tool runs on the user's machine and no repository copy is stored on vendor servers, code is never uploaded or used for model training. A checkpoint is taken before every agent turn, enabling complete rollback of any run, including files that were deleted or created.
AstraCode targets individual developers, from hobbyists to solo professionals, and multi-seat software engineering teams. Pricing tiers cover free hobby use (25 requests per month, no credit card required), single-developer daily use, and team plans. The editor ships with automatic model selection: the agent picks the appropriate model per task, names the model at every step, and allows users to pin a specific model manually. Browser-based testing extends the agent's scope beyond the codebase, opening the running application, interacting with it, reading the console, and iterating on failures autonomously.
For teams, AstraCode supports Model Context Protocol (MCP) integration, connecting the agent to issue trackers, databases, and internal services over local or HTTP transports. Org-approved MCP servers can be pre-configured so every engineer shares the same agent behavior without per-engineer JSON setup. Server output from MCP connections is fenced as untrusted before the model reads it. Project rules and engineering principles are stored in the repository and travel with every request. On first launch, the editor imports extensions, keybindings, and settings from an existing editor, reducing setup time. Shell commands are classified by destructive potential before execution, using behavioral analysis rather than keyword matching.
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