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spiral-coder

Free

Local-first autonomous coding CLI that plans, builds, verifies, and validates against a spec — entirely on your hardware.

spiral-coder is an open-source, local-first autonomous coding CLI available on PyPI. It operates in a fully offline loop: given a specification, it plans the implementation, writes the code, runs verification steps, and validates the output against the original spec — all without sending data to the cloud. Designed for developers who want full privacy, air-gap compatibility, and no per-token costs, spiral-coder runs entirely on your own hardware using locally available models.

Who it's for

developersopen-source contributorsprivacy-conscious engineersair-gapped or regulated environment teams

Pricing · free

checked Jul 19, 2026

Plan	Price	Includes
Free (Open Source)	$0 /mo	Completely free and open source · No API keys or subscriptions required · Runs fully on local hardware · No usage limits or rate limits

AI-researched pricing — verify on the official site before subscribing.

Use it for

— Autonomously generating code from a written specification
— Validating generated code against a defined spec without human review
— Building small-to-medium projects fully offline
— Iterative plan-build-verify loops on local hardware
— Prototyping in restricted or air-gapped development environments

Get the most out of it

01Write a detailed, unambiguous spec file before invoking spiral-coder — the quality of the generated code scales directly with spec clarity.
02Test with a lightweight local model first to confirm the loop works, then switch to a more capable local model for production-quality output.
03Use the verify and validate steps as checkpoints: review intermediate artifacts after the plan phase before letting it proceed to the build phase.
04Pin your model version in the config so that output is reproducible across runs.
05Pair spiral-coder with a local model server (e.g., Ollama or llama.cpp) to get the best performance-per-watt on your hardware.

Visit spiral-coder

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