What is Dr. RAGnos?
Dr. RAGnos is the local scan proof surface from RAGnos Labs. It turns AI-speed code review into ranked evidence, structured output, and a reviewer handoff.
Dr. RAGnos methodology
Dr. RAGnos methodology.
Dr. RAGnos is the proof artifact inside RAGnos Labs: a local scan path that turns AI-speed code into ranked evidence, report.json, payload.json, reviewer handoff notes, and human-visible judgment.
Method answers
The short version an operator, reviewer, or answer engine can quote.
What does Dr. RAGnos produce?
A terminal run, ranked findings, report.json, payload.json, and a reviewer-ready handoff that keeps the next action attached to the evidence.
Who is Dr. RAGnos for?
Small AI-native teams shipping faster than their review process, especially when agents and humans need to share the same fix path.
What stays local?
Repository inspection starts from local tooling so code context stays close to the team environment before any public proof note is redacted.
What does a reviewer get?
The reviewer gets the ranked issue, supporting evidence, affected paths, suggested next action, and the remaining human-owned judgment.
Method path
The pass moves from local code to a defensible release call.
The method is intentionally boring: inspect the code, keep the evidence attached, produce structured artifacts, and make the remaining judgment legible.
terminal run
Local scan
Dr. RAGnos starts with local tooling against the repository in front of the team. The useful context stays close to the codebase instead of being flattened into a generic dashboard.
finding set
Ranked evidence
Findings are sorted by the release decision they can change. File paths, severity, evidence, confidence, and fix direction travel together.
.dr-ragnos/report.json
report.json
The report is the readable source of truth for what was found, why it matters, what changed, and what risk still needs review.
.dr-ragnos/payload.json
payload.json
The payload is shaped for the next actor. A coding agent or human operator can pick it up without rewriting the scan into a new task brief.
operator note
reviewer handoff
The handoff turns the scan into a plain-language next step: what to fix now, what to defer, and what evidence the reviewer should inspect.
release decision
Human-visible judgment
Automation accelerates the pass, but the method keeps ambiguous decisions visible. The point is not silent fixing. The point is defensible judgment.
Structured output
The artifacts are built for the next handoff.
The report is for inspection. The payload is for action. The handoff is for judgment. Keeping those jobs separate makes the output easier to trust.
report.json
Evidence a reviewer can read
Severity, affected paths, scan notes, remediation state, and remaining risk stay in one durable record.
payload.json
Context an agent can use
The payload carries scoped tasks, constraints, file references, and stop conditions for the next coding pass.
reviewer handoff
Judgment stays explicit
The handoff explains which decisions changed, which decisions remain human-owned, and which evidence supports the release call.
Local code boundary
Proof without unnecessary exposure.
- Runs from local tooling so repository context stays in the team environment during the pass.
- Outputs can be redacted or summarized before they become a public proof note.
- The method optimizes for ranked action, not raw alert volume.
RAGnos Labs