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