When autonomous coding agents began entering production workflows, the software industry assumed secondary generative models could review their code. Here is why I refused to build another chatbot wrapper—and what inspecting thousands of agent PRs revealed.
Commercial AI security benchmarks boast 90% detection rates while quietly excluding fix quality. Simultaneously, cloud sandboxes expose proprietary enterprise IP. Why tier-one engineering teams are moving to local AST invariant gates.
As frontier AI models scale context windows beyond 128k tokens, enterprise GPU clusters face a devastating physical bottleneck: KV cache memory explosion. An architectural investigation into Disaggregated Prefill and Decode (PD Disaggregation).
Over 80% of pull requests generated by AI agents introduce subtle structural defects—including stealth test deletions, hallucinated package dependencies, and CWE regressions. This investigation dissects why probabilistic token predictors cannot enforce program correctness.