STET

flux-pr-828

graphql-go-tools (Go) · W2 · GPT-5.3 Codex

pass_with_warn

Tests passed. 1/1 commands passed. Strength: strong.

93.1% run pass rate
Tier 1
guardrail diff too largeprimary testspassednon equivalentfail
go test -C v2 ./... -count=1 -timeout=300s
gold passagent pass

Partial score: 1/1

Publishable: yesCache: miss

Trajectory

codex · partial order only

provider-native trajectory captured; validation and decision steps are appended with coarse ordering only

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patch written
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Flux captured agent.patch for this trial

validation
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go

equivalence
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non_equivalent

code review
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fail

decision
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pass_with_warn

Quality

equivalence
non_equivalent
93% confidence
code review
fail
3 findings
footprint
low (0.14)
behavioral
100.0%
cost
$9.89 · 4.2M

Equivalence Reasoning

behavioral

The patch wires an opt-in flag and “only-if-smaller” fallback, but the minifier only deduplicates selection sets of inline fragments with the same type condition. It misses key intended cases where duplicate field selection sets are repeated across different enclosing inline fragments/type branches (the main federation payload-reduction scenario shown by the task/gold behavior).

Code Review

correctness: 2/4edge case handling: 1/4introduced bug risk: 2/4maintainability idioms: 3/4

The patch partially implements the feature (opt-in and apply-only-if-smaller) but likely does not satisfy the intended change fully because deduplication is limited to inline fragments and misses broader repeated selection-set compression patterns expected for subgraph requests.

3 findings
Minifier scope is limited to inline fragments, missing repeated field selection-set deduplication
major

The implementation only collects candidates from `doc.InlineFragments` by type and never scans/rewrites repeated selection sets under fields. This misses major duplication patterns in federated subgraph operations and likely under-delivers the intended compression behavior.

v2/pkg/astminifier/astminifier.go:50
Equality logic is strict positional AST equality and misses semantically duplicate patterns
major

Selection-set equality compares selection references in exact order and recursively matches exact node kinds; there is no normalization/canonicalization path. Many real-world duplicates that differ structurally but are semantically equivalent will not be deduplicated.

v2/pkg/astminifier/astminifier.go:139
Test coverage is too narrow for planner-level optimization
major

Tests only validate one synthetic success path and one non-shrinking path, without broader fixtures for nested selections, directives, existing fragments, or integration through planner flag behavior. This increases regression risk when feature is enabled.

v2/pkg/astminifier/astminifier_test.go:12