{ "id": "multi-agent-code-review-panel", "title": "Multi-Agent Code Review Panel", "level": 3, "levelName": "Engineer", "tagline": "A review disagreement workbench that measures when quorum helps and when it hides findings.", "summary": "A review disagreement workbench that measures when quorum helps and when it hides findings. Input files maps names to text or lines. Optional reviewers contain id,cost,findings recordings. Expected labels use {file,line,rule}; the report records the source fingerprint and per-reviewer versus consensus metrics.", "hours": 8, "languages": ["TypeScript"], "status": "ready", "source": "core", "author": { "name": "AI Engineering from Scratch", "github": "rohitg00" }, "skills": [ "Validate reviewer evidence", "Aggregate independent support", "Reserve costs and enforce deadlines", "Measure panel precision and recall" ], "prerequisites": [ "Node22.18+ and Python3 for the grader", "TypeScript objects, sets, promises, AbortSignal and precision/recall." ], "youWillBuild": "A review disagreement workbench that measures when quorum helps and when it hides findings.", "usefulFor": [ "Input files maps names to text or lines. Optional reviewers contain id,cost,findings recordings. Expected labels use {file,line,rule}; the report records the source fingerprint and per-reviewer versus consensus metrics." ], "demo": { "cwd": "solution", "command": [ "node", "cli.ts", "--input", "samples/review.json", "--output", "panel.json", "--html", "panel.html" ] }, "stages": [ { "id": "01-evidence", "title": "Validate reviewer evidence", "summary": "Require a file present in the supplied snapshot, a positive one-based line, an exact nonempty quote, a stable rule id and a severity from one through three. Evidence validation is shared across all reviewers. It protects the aggregation boundary against fabricated locations, but agreement and quoted text still do not prove a finding is correct.", "hours": 2, "language": "typescript", "languageWhy": "Unknown reviewer output must become a typed finding only after runtime validation.", "concepts": ["validateFinding"], "difficulty": "starter", "runner": [ "node", "--experimental-strip-types", "--test", "{tests}/stage.test.ts" ], "requires": ["node"], "timeout": 90, "figure": "pj-multi-agent-code-review-panel-1" }, { "id": "02-agreement", "title": "Aggregate independent support", "summary": "Group valid findings by file, line and rule. Count one vote per reviewer per group, reject duplicate reviewer identities, and retain every severity vote. A quorum produces consensus; a singleton remains visible as needs-review. A disagreement flag survives consensus so the user can inspect conflicting severity judgments.", "hours": 2, "language": "typescript", "languageWhy": "Sets make reviewer identity and per-review deduplication explicit.", "concepts": ["aggregate"], "difficulty": "core", "runner": [ "node", "--experimental-strip-types", "--test", "{tests}/stage.test.ts" ], "requires": ["node"], "timeout": 90, "figure": "pj-multi-agent-code-review-panel-2" }, { "id": "03-budgets", "title": "Reserve costs and enforce deadlines", "summary": "Reserve each reviewer cost before launching it. Skip work that cannot fit the remaining budget and record the decision. Race each reviewer against a deadline and abort its signal when time expires. Failures remain in the trace while completed reviews can still be aggregated. Adapters must honor AbortSignal to stop external work; the runner cannot force a remote service to cancel.", "hours": 2, "language": "typescript", "languageWhy": "Promises and AbortSignal allow parallel reviewer calls with explicit terminal states.", "concepts": ["runPanel"], "difficulty": "core", "runner": [ "node", "--experimental-strip-types", "--test", "{tests}/stage.test.ts" ], "requires": ["node"], "timeout": 90, "figure": "pj-multi-agent-code-review-panel-3" }, { "id": "04-evaluate", "title": "Measure panel precision and recall", "summary": "Evaluate unique finding ids against an expected set. Precision measures how many predicted findings are expected; recall measures how much of the expected set was found. Deduplicate both sets so repeated reviewers cannot inflate the metric. Zero predictions produce precision zero rather than a misleading perfect score. Try held-out inputs before adjusting quorum.", "hours": 2, "language": "typescript", "languageWhy": "Small pure metrics let deterministic fixtures establish a baseline before model integrations.", "concepts": ["evaluate"], "difficulty": "core", "runner": [ "node", "--experimental-strip-types", "--test", "{tests}/stage.test.ts", "{tests}/integration.test.ts" ], "requires": ["node"], "timeout": 90, "figure": "pj-multi-agent-code-review-panel-4" } ], "demos": [ { "gif": "media/run.gif", "poster": "media/run.png", "title": "Initialize and grade", "caption": "Recorded starter failure followed by all reference-solution stages passing. Reference passes do not earn learner certificates." }, { "gif": "media/output.gif", "poster": "media/output.png", "title": "Inspect the output", "caption": "Actual output from the local deterministic demo command. See the README for fixture and live-adapter limits." } ] }