feat: deliver v1.8.0 harness reliability and parity updates

skills/ai-first-engineering/SKILL.md

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+---
+name: ai-first-engineering
+description: Engineering operating model for teams where AI agents generate a large share of implementation output.
+origin: ECC
+---
+
+# AI-First Engineering
+
+Use this skill when designing process, reviews, and architecture for teams shipping with AI-assisted code generation.
+
+## Process Shifts
+
+1. Planning quality matters more than typing speed.
+2. Eval coverage matters more than anecdotal confidence.
+3. Review focus shifts from syntax to system behavior.
+
+## Architecture Requirements
+
+Prefer architectures that are agent-friendly:
+- explicit boundaries
+- stable contracts
+- typed interfaces
+- deterministic tests
+
+Avoid implicit behavior spread across hidden conventions.
+
+## Code Review in AI-First Teams
+
+Review for:
+- behavior regressions
+- security assumptions
+- data integrity
+- failure handling
+- rollout safety
+
+Minimize time spent on style issues already covered by automation.
+
+## Hiring and Evaluation Signals
+
+Strong AI-first engineers:
+- decompose ambiguous work cleanly
+- define measurable acceptance criteria
+- produce high-signal prompts and evals
+- enforce risk controls under delivery pressure
+
+## Testing Standard
+
+Raise testing bar for generated code:
+- required regression coverage for touched domains
+- explicit edge-case assertions
+- integration checks for interface boundaries