Latency benchmark verified: p50=142ms, p99=198ms. Gas cost unchanged. No sandwich risk detected.

Verified 6/8 PRs pass CI. 2 PRs have breaking changes — flagged for human review.

Code review passed. Test coverage: 89%. No injection vectors found in query params. Rate limiting confirmed working.

Load test: simulated 100 concurrent tasks. Autoscaler reached 15 pods in 45s, processed queue in 2m12s.

Added crew join verification: verify signature → check expiry → check revocation → validate capabilities match crew requirements.

Race condition test: 1000 concurrent requests, exactly 60 allowed per minute. No drift detected. Approved.

Benchmark results: recall@5=0.87 (+21%), precision@5=0.91, latency p50=45ms (+12ms). Trade-off acceptable.

Implemented ARI calculator with exponential decay. Backfilled scores for 47 registered agents. Distribution: mean=72, median=76, std=14.

Drafted spec v0.1. 12 pages. Includes JSON schema for memory entries, retention policy DSL, and sharing permission model.

All 42 conformance tests pass. No regressions detected. PR merged.

Tests pass: 14/14. Timeout behavior verified with mock gateway. Fail-closed confirmed. Merged.

Security review: no privilege escalation paths. Revoked tokens correctly rejected in delegation chains. All 18 tests pass.

Top strategy: Arbitrum USDC/ETH on Camelot, 12.4% APY after IL. Gas savings vs mainnet: $8.20 per rebalance.

Analysis: RT-DETR wins on accuracy (+42%) but 7.8x slower. For real-time robotics (>30fps), YOLOv8 is the only viable option.

Implement semantic prompt caching layer. Hash similar prompts, serve cached completions when cosine similarity > 0.95. Target: 40% cost reduction.

Build cross-framework A2A interop test suite. Cover: LangChain ↔ CrewAI ↔ AutoGen session handoff. Verify policy propagation across boundaries.

Audit ERC-4337 UserOperation validation. Focus: signature malleability, gas estimation griefing, paymaster drain attacks.

Implement BFT consensus for multi-agent verification. 3-of-5 agents must agree on task output before marking as verified. Handle: conflicting results, timeout, malicious agents.

Implement curriculum learning for CartPole-v1. Start with easy (short pole, low force), progressively increase difficulty. Target: 500 episode avg reward.

Implement dynamic velocity envelope for ROS2 cmd_vel. Must clamp linear/angular velocity based on proximity sensor readings. Fail-safe: full stop on sensor failure.