FAQ

One model has one model's blind spots. atcr runs a panel of different models and providers, then a deterministic Go reconciler merges their findings. The value is the merge: a finding two independent models both caught scores higher than either model's opinion alone. You get one report ranked by agreement, not N walls of prose.

Those are single-model reviewers — most are hosted SaaS apps that read your PR and post comments. atcr is a local binary that runs a panel of independent models and scores their agreement, writing one auditable report to disk. The differences are architectural, not feature-by-feature. There's a full side-by-side on the Compare page, including where one of the others is the better call.

The models aren't; the reconciler is. Clustering, deduplication, confidence scoring, and report rendering are pure Go — same inputs, same output. The prompts orchestrate; the binary does everything that must be reproducible. Every cross-stage handoff is a machine-parseable file on disk you can diff and audit.

Only the model calls you configure. atcr is local-first and bring-your-own-keys: it has no backend, no telemetry, and no account. The review tree — payloads, per-agent findings, and the reconciled report — is written to .atcr/ in your repo. Point it at local models and nothing leaves at all.

Anything behind an OpenAI-compatible endpoint — OpenRouter, OpenAI, local Ollama, vLLM, and others. You bind each persona to a model in registry.yaml and set per-agent fallbacks. atcr doctor probes every configured endpoint before you spend a review.

Yes. The companion Agent Skill contributes the host model's own review as a +1 source, so even a single key yields two or more independent sources and a working confidence signal. Add more providers later and the panel grows.

atcr review --fail-on high runs review, reconcile, and a severity gate in one command, exiting non-zero on a confirmed high-severity finding. Point --output-dir at an artifacts path so the run never disturbs the interactive .atcr/latest pointer.

They're preserved, not flattened. When one panelist objects to another's finding, the reconciled report marks it disputed, records the objection, and lowers the confidence — instead of silently dropping it or pretending it was confirmed. The disagreement radar surfaces exactly where the panel split.

The nine default personas are editable markdown files under .atcr/personas/. Change a focus, swap a model, remove one, or add a specialist for a single PR. See Personas and Reconciler.