From AI that to AI you trust. From AI that breaks things, guesses, stalls, hallucinates — to AI you trust.
Spectra scores how ready your repository is for AI agents across six readiness lenses, turns the gaps into a prioritised plan, then lets agents fix them — with diff previews, approvals and a kill switch. All on your machine.
- Runs locally — code never uploaded
- Bring your own model
Code quality still matters. Readiness asks what comes next.
Can an agent understand the work, change only what it should, prove the result, and hand it back for review?
Not a grade. A to-do list, ordered by impact.
Every gap the scan finds becomes a concrete, actionable fix — with the lens it belongs to, an impact rating and a rough effort. Discard the noise, keep the leverage.
See the full report- 01 Add an AGENTS.md at the repo root Agent Context Critical
No repo-level operating instructions for agents.
Recommendation: Add an AGENTS.md at the repo root92 risk High impact 20 min effort - 02 Pin the Node runtime with .nvmrc Reproducibility High
Runtime drift makes local reproduction unreliable.
Recommendation: Pin the Node runtime with .nvmrc81 risk High impact 5 min effort - 03 Guard the live HTTP client in tests Safety High
Tests can still touch live services without review.
Recommendation: Guard the live HTTP client in tests88 risk High impact 1 hr effort - 04 Split payments.ts (1,420 lines) Structure Medium
Large ownership surface raises regression risk.
Recommendation: Split payments.ts (1,420 lines)64 risk Medium impact Half day effort - 05 Document the 3000ms timeout rationale Tribal Knowledge Medium
Implicit timing assumptions are not captured.
Recommendation: Document the 3000ms timeout rationale57 risk Medium impact 10 min effort
Autonomy you can actually trust.
Spectra is built so you can hand work to agents without handing over the keys.
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Runs on your machine
Spectra is a desktop app. Your source never leaves your laptop or your network. No code uploaded, ever.
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Bring your own model
Anthropic, OpenAI, a local Ollama model, or any OpenAI-compatible endpoint. Your keys, your provider, your choice.
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Approvals & sandboxing
Every tool call can require approval. Safe operations auto-run in a sandbox; risky ones wait for a human.
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Policy at every level
Settings inherit across repo, project and organisation. Admins set defaults; teams stay inside the guardrails.
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Blast-radius aware
Agents are told where the danger is — secrets, production paths, side-effecting tests — before they act.
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Auditable by design
Plans, diffs, approvals and reasoning are recorded, so you can answer 'why did the agent do that?' later.
Give your codebase a future agents can build on.
Free for solo engineers. Runs on your machine. Bring your own model.