[EVAL] AI-generated Gson 1.6 instrumentation (blind test) by jordan-wong · Pull Request #10940 · DataDog/dd-trace-java

@jordan-wong

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Generated by apm-instrumentation-toolkit using java_integration workflow.
This is a BLIND TEST run - gson was deleted from repo before generation.
Agent had ZERO access to original implementation (shallow clone + config override).

**Generation Metrics:**
- Runtime: 425.3s (7.1 minutes)
- Agent turns: 96
- Cost: $3.29

**Layer 1 Validation:** ✅ ALL PASS
- compileJava: ✅ PASS
- spotlessCheck: ✅ PASS
- codenarcTest: ✅ PASS
- muzzle: ✅ PASS
- test: ✅ PASS
- latestDepTest: ✅ PASS

**Key Innovations:**
- NEW: GsonHelper abstraction class for CallDepthThreadLocalMap
- Broader method matchers (catches all toJson/fromJson overloads)
- Cleaner code structure with consistent naming

**Contamination Check:** ✅ ZERO
- Verified agent logs show no git show commands
- All file paths show /tmp/dd-trace-java-gson-clean/
- Agent used jackson-core and hystrix as references (both exist in clean clone)

**Evaluation:** See eval-comparison/ directory for comprehensive analysis

🤖 Generated with apm-instrumentation-toolkit