Vai al contenuto principaleVai al footer
Reviewed

Valutazione completata; in attesa di revisione delle prove.

Agent Architecture Review, Snapshot di validazione

Valutato il 30 aprile 2026 rispetto alla doctrine di AI Design Blueprint · focus: code-review agent governance for software engineering workflows

Needs Changes

Stato: Needs Changes

0/4

allineati sui principi applicabili · 0%

This is an autonomous agentic PR triage workflow, so the listed agentic design principles apply strictly. The implementation has strong governance-oriented structure: scoped repo policy, explicit plan display, structured model parsing, per-PR statuses, audit records, and a blocking approval gate. However, several controls are incomplete: `allowed_actions` and `auto_merge_max_score` are not enforced, the approval UI can offer actions that policy does not allow, action functions log successful external effects without actually performing them, audit persistence is overwrite-based rather than immutable, and failures are not converted into meaningful terminal states. Overall, the design is directionally sound but needs changes before it can be considered governance-ready.

Findings per principio

4 principi valutati. Verdict, severity, evidenza e raccomandazione per ognuno.

P0

Design for delegation rather than direct manipulation

needs changes

Classified as category (A), an autonomous agentic workflow: `run()` iterates through `PULL_REQUESTS`, calls the LLM in `review_pr()`, makes policy/risk decisions, invokes an approval gate, and conditionally performs actions such as `post_comment()`, `apply_suggested_fix()`, and `merge_pr()`. For Principle 1, the code defines a clear `DelegationPolicy` with `allowed_repos`, `allowed_actions`, `high_risk_paths`, and `auto_merge_enabled`, and it filters repos via `in_scope = [pr for pr in PULL_REQUESTS if pr["repo"] in policy.allowed_repos]`. However, `allowed_actions` is never enforced before execution. The approval UI offers merge via `[m]erge` even though `DEFAULT_POLICY.allowed_actions` exc…

Raccomandazione

Enforce `policy.allowed_actions` at the decision and execution layers. Do not display or accept actions that are not allowed by policy. Before any action branch, validate the requested action against `policy.allowed_actions`; for merge, also enforce `auto_merge_enabled`, `auto_merge_max_score`, repo scope, high-risk path rules, and approval identity/role.

P0

Replace implied magic with clear mental models

needs changes

The code improves the mental model by publishing an `ExecutionPlan` from `build_plan()`, printing `EXECUTION PLAN`, logging events through `TriageState.log()`, and parsing model output through `parse_review()`. It also distinguishes statuses such as `BLOCKED_INVALID_OUTPUT`, `BLOCKED_HIGH_RISK`, and `AWAITING_APPROVAL`. However, several user-facing claims are misleading or incomplete. The plan says `Execute only approved actions (comment, suggest_fix, merge)` even though `merge` is not in `DEFAULT_POLICY.allowed_actions`. The plan says `Persist immutable audit record to disk`, but `save_audit()` writes to a fixed `audit_log.json` path with mode `"w"`, overwriting previous records. `post_comm…

Raccomandazione

Make the displayed plan derive from the actual effective policy and implementation. Mark stubbed actions as dry-run or replace them with real tool/API calls and error handling. Change audit persistence language or implement append-only/immutable storage. Strengthen structured-output validation with required fields, explicit types, and schema validation, and block downstream actions on all validation failures.

P0

Expose meaningful operational state, not internal complexity

needs changes

The `PRStatus` enum provides meaningful user-level states such as `QUEUED`, `REVIEWING`, `AWAITING_APPROVAL`, `BLOCKED_HIGH_RISK`, `BLOCKED_INVALID_OUTPUT`, `COMPLETED`, and `FAILED`. Per-PR state is stored in `AuditRecord.status` and updated during `run()`. This aligns with the principle at a structural level. Gaps remain: `FAILED` is never used because `review_pr()`, `post_comment()`, `apply_suggested_fix()`, `merge_pr()`, and `save_audit()` are not wrapped in exception handling; an LLM/API/file-write failure would terminate the workflow without updating `rec.status` or preserving a final audit state. Also, `save_audit()` logs `AUDIT_TRAIL_SAVED` after writing the file, and `run()` logs `W…

Raccomandazione

Add try/except/finally handling around each PR and around audit persistence so failures transition records to `FAILED` with user-relevant error details. Persist terminal workflow events as part of the audit trail, or log them before writing. Consider adding a run-level status in addition to per-PR status.

P0

Make hand-offs, approvals, and blockers explicit

needs changes

The code has an explicit blocking approval mechanism in `approval_gate()`, logs `APPROVAL_REQUESTED`, prints PR details, shows high-risk warnings, and requires an operator decision through `input("Decision: ")`. It also blocks invalid model output by returning `reject` when `record.status == PRStatus.BLOCKED_INVALID_OUTPUT`. However, the gate is not fully robust. It logs `APPROVAL_GRANTED` for every mapped decision, including `reject`, and silently maps invalid input to `reject`. It hardcodes `rec.approver = "operator"` rather than capturing an authenticated approver. It presents `[m]erge` even when merge is not an allowed action in `policy.allowed_actions` or when `policy.auto_merge_enabled…

Raccomandazione

Make the approval menu policy-aware, showing only currently valid actions and clear reasons for unavailable actions. Log `APPROVAL_REJECTED` or `APPROVAL_DECISION_REJECT` separately from granted approvals. Capture authenticated approver identity and authorization. Persist the approval decision before executing any mutation such as suggested fixes or merge.

Aggiungi al tuo README

Due varianti embeddabili: una piccola e una a card più ricca.

Score card (consigliata)

Blueprint Readiness Score card
[![Blueprint Readiness Score card](https://aidesignblueprint.com/api/badge/run/380d6b8c-3291-47e6-ba71-6f4f4f43ae4b/card.svg)](https://aidesignblueprint.com/en/readiness-review/380d6b8c-3291-47e6-ba71-6f4f4f43ae4b)

Badge piatto

Blueprint Readiness Score badge
[![Blueprint Readiness Score](https://aidesignblueprint.com/api/badge/run/380d6b8c-3291-47e6-ba71-6f4f4f43ae4b.svg)](https://aidesignblueprint.com/en/readiness-review/380d6b8c-3291-47e6-ba71-6f4f4f43ae4b)

Run ID: 380d6b8c-3291-47e6-ba71-6f4f4f43ae4b · Results expire after 90 days

Run by agents. Governed by humans. Validated by the AI Design Blueprint.