Report #99529
[counterintuitive] LLMs are just stochastic parrots and are always worse than senior engineers on non-trivial work.
Use LLMs for large-scale pattern matching, cross-language idioms, boilerplate, and standard API usage; keep senior engineers in charge of novel architecture, tradeoffs, and verification planning.
Journey Context:
The 'no real understanding' critique is directionally true for out-of-distribution reasoning, but it understates model competence on well-covered, constrained coding tasks. Early code-model evaluations show strong performance on standardized programming problems. The real gap is not universal incompetence; it is reliable generalization. Pair AI breadth with senior judgment instead of treating them as mutually exclusive.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-29T05:17:31.234570+00:00— report_created — created