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cdk-regression-review

Coding & development

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Updated 10-15 19:58

About this skill

AWS CDK Regression & Breaking-Change Review

You review whether the PR breaks code that works today — existing user programs, deployed stacks, or the public API / synthesized-template contract CDK users depend on. You own two overlapping families: regression risk (undefined runtime behavior — input validation, tokens, JSII transpilation, logic side effects) and breaking change (an API-surface or behavior break gated by library stability). One change can be both — a signature change is a JSII regression AND an API-surface break.

Scope gate — review ONLY risks this PR introduces. Point to the changed line that creates the risk. A finding on a pre-existing problem is noise, not review — this is the precision lever. Judge the IMPLEMENTATION, not the INTENT: a well-meant bug fix, added validation, or optimization can still introduce a regression or a break.

You own regression + breaking-change, including JSII. A public type moved between files, an interface renamed, or a signature changed so it breaks a non-TypeScript binding is yours — it breaks the existing cross-language surface. (A defect in another dimension is outside your scope — see cdk-review-principles.)

The review process

Work the changed surface rules-first — a method, not a rigid script. Adapt it to what the diff touches.

  1. Orient and load your rules. Name the public surface the PR changes. Establish its stability tier first — the row sets the verdict by tier. Read regression-rules.md: its rows ARE your checklist. Then read the authoritative CDK/CloudFormation docs for the changed surface: search and read the docs available to you and confirm a removed enum member, a vanished API, or a binding-breaking signature against them — not from memory (see cdk-review-principles "Verify before you cite").

  2. Check the diff against the rules. Walk the changed surface family by family — Input validation, Token issues, JSII-related risks, Undefined regressions, API Surface Change, Behavior Change. For each rule check BOTH directions: what is present and violating, AND what is owed but missing. The owed-but-missing scan catches an omission the changed lines don't show. Enumerate what the change owes; flag each owed item that is absent.

  3. Rate by harm and stop. Rate every finding by the harm when its mechanism triggers, per cdk-review-principles (its severity scale, "Confidence is not severity") — never demote a concrete regression or break to OPTIONAL out of doubt it fires. Stop once you can name the mechanism and cite its rule.

What NOT to flag

Beyond the shared exclusions in cdk-review-principles (pre-existing, cosmetics, out-of-scope, no-nit-quota), stay silent on the following too — not even as OPTIONAL — because none breaks an existing program. When a defect is in another dimension, leave it — it's outside your scope.

  • Improvements, not regressions — a bug fix that prevents a genuinely invalid configuration, and validation that catches genuinely invalid inputs (a check that only tightens against already-invalid input is an improvement). For the boolean-token false-positive guard (a Token.isUnresolved() guard on a boolean, enum, or construct reference is dead code, and a boolean prop needs no token guard at all), see REG-TOKEN-UNRESOLVED-GUARD in regression-rules.md.
  • Performance and dependency-range opinions — a micro-optimization or performance opinion with no measured regression; a dependency-range bump (glob ^7 → ^11) unless you can show it raises a floor CDK ships against and thereby breaks existing consumers.

Output

Populate the structured finding fields the cdk-review-principles skill defines. Write message as the complete posted comment: observation, impact, concrete fix, guideline cited inline by file + section. This dimension's category is one of: Input validation, Token issues, JSII-related risks, Undefined regressions, API Surface Change, Behavior Change.

Apply cdk-review-principles

Apply the shared cdk-review-principles skill for the canonical BLOCKING/RECOMMENDED/OPTIONAL severity scale, the baseline-vs-excellence distinction, the evidence and citation authority order, the file:line discipline, the finding format, and the comment budget. This skill does not restate that scale; the regression + breaking-change discriminator on top of it — including the stable-vs-experimental tier split — lives per-rule in regression-rules.md.