Dependency Upgrade

Use when diagnosing frontend build failures, runtime errors, UI anomalies, API/data problems, white screens, request failures, or unexplained production exceptions; Chinese triggers include debugging, debug, troubleshooting, positioning, error reporting, exceptions, white screens, request failures.

Front-end diagnostic framework

Purpose

Use an evidence-driven triage, collection, hypothesis, verification, and remediation process to locate front-end faults and avoid relying on intuition to expand the scope of changes.

Procedure

All front-end problem diagnosis follows a unified process:

Step 1: Classify

Identify problem type and scope of impact:

Type	Judgment basis	Diagnosis entrance
build	Command exit is non-zero, stderr has error	→ Build module
runtime	Console exception, white screen, function unavailable	→ Runtime module
ui	Visual deviation, interaction not as expected	→ UI module
api	Request status code exception, data inconsistency	→ API module

Cross-type problems (such as API failure leading to UI exceptions) start with the most superficial symptoms and drill down layer by layer.

Step 2: Collect

Collect evidence by type (specific strategies for each module, see below).

Step 3: Hypothesize

Propose possible root causes based on evidence, ranked by likelihood:

• Every hypothesis must be testable (have clear verification methods)
• Keep at most 3 hypotheses to avoid divergence
• Format: "Because X leads to Y, which can be verified by Z"

Step 4: Verify

Test the hypotheses one by one:

• Start with the most likely hypothesis
• Only change one variable at a time
• Verification result record: confirmed / falsified / pending
• If all assumptions are falsified, return to Step 2 and collect again.

Step 5: Fix & Validate

• Apply minimal fixes
• Run affected verification commands
• Confirmed no regression
• Output repair report

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Diagnostic module

Build module

Collect: Run minimal failing commands, capture full stderr/stdout Assumptions: Grouped by error type (type error, import failure, configuration resolution, missing dependency), match known patterns Verification: Fix a type of root cause → rerun the command → confirm that errors are reduced Special handling:

• Collect evidence for dependency version, peer dependency, ESM/CJS, and lockfile related failures first as build compatibility issues
• Log package manager, Node version, lockfile diff, related package version and full error log
• No longer upgrade dependencies, manually edit lockfiles when evidence is lacking, or mix dependency migrations with normal debug fixes in the same batch of changes
• If the task goal itself is version upgrade, CVE repair or lockfile risk review, it should be transferred to the dependency upgrade workflow
• CI exclusive failure check Node version, package manager, environment variable differences

Runtime module

Collect:

• Recurrence path (sequence of user operations)
• Console errors and stack
• Component rendering tree status (check whether key components are mounted correctly)
• Relevant store/state snapshot

Assumptions:

• Stack reverse tracing: trace back from the exception location to the trigger source
• State flow analysis: Check whether state changes are as expected
• Life cycle analysis: whether uninitialized data is accessed at the wrong time

Verification:

• Add temporary log confirmation status value
• Add assertions on suspicious paths
• Recurrence path verification fix

UI module

Collect:

• Current screenshot vs desired effect
• DOM structure check (whether the element exists and whether the level is correct)
• Computed style checks (actual applied CSS values)
• Responsive breakpoint testing

Assumptions:

• CSS specificity conflict (selector weight is not enough to be overridden)
• Component state mismatch (props/state not passed correctly)
• Layout model problem (flex/grid configuration error)
• Missing responsive breakpoints

Verification:

• Browser DevTools real-time adjustment verification
• Isolated component testing (excluding external style interference)
• Multiple breakpoints to verify one by one

API module

Collect:

• Request URL, method, headers, body
• Respond to status, headers, body
• Network waterfall timing
• Cache data in related store/state

Assumptions:

• Request link hop-by-hop inspection (URL → Middleware → Interceptor → Server)
• Data conversion checks (response parsing, type mapping)
• Cache policy check (expiration, invalidation, race condition)
• Concurrent request race condition (race condition)

Verification:

• curl independent reproduction (excluding front-end interference)
• Mock layer by layer to locate the problem level
• End-to-end request validation fixes

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Detailed reference

When writing a diagnostic report, load references/report-template.md.

Constraints

• Don't guess at root cause when evidence is lacking
• Not "fixed" by turning off rules, removing tests, or reducing type safety
• Change only one variable at a time to test your hypothesis
• Do not expand the scope of changes before verification
• The same hypothesis fails verification 3 times in a row, stops and reports blocking

Expected Output

• The diagnostic report is saved as reports/debug-YYYY-MM-DD-HHmmss.md
• The report includes issue type, key evidence, hypothesis verification records, root cause, fix content, verification results and remaining risk
• Build/runtime/ui/api problems can explain the reproduction path, verification command or next blocking point