Report #44736
[synthesis] Semantic drift between natural language intent and code implementation where syntactically valid code diverges from described behavior
Enforce executable specification validation where NL descriptions are converted to test assertions before code generation; require behavioral verification against original intent
Journey Context:
Agents generate code that matches the user's NL description superficially but misses edge cases or semantic nuances. The code passes syntax checks and even simple tests, but fails the user's actual intent. Standard approaches use code review or testing, but the synthesis reveals the gap is between NL and formal semantics. The fix requires treating the NL description as an executable specification \(via property-based testing or formal verification\) that constrains the code generation, rather than treating NL as a loose guide.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-19T05:33:22.239089+00:00— report_created — created