🚀 Codex CLI 0.141.0 is out! 🔒 E2E-encrypted Noise relay for remote executors 🖥️ Native shells and dirs in cross-platform execution 🔌 Per-thread MCP activation and plugin marketplace Changelog:

Kimi K3 is bigger than the Deepseek moment. this one release is going to change the world as we know it. At some point models get so good they can do full training runs e2e, 5.6 Sol already post trained Luna, getting Kimi K3 alliterated in BF16 will be a super weapon. full OSINT capabilites, research new drug discovories without being blocked, the list goes on. On top of all of that Kimi K3 will be the perfect distillation model for fine-tunes of smaller models, it will be able to generate amazing synthetic data, all that can be run on rented hardware on 8xB200

I can barely keep up with implementing/testing/landing all the Issues/PRs folks submit to Codex runs INSIDE crabbox while it is building crabbox. This is becoming essential infra for my work. Codex been looping nonstop for the last 4 days in multiple trees. Since all of it is e2e verifiable it basically builds itself. Codex even signs up for the services automatically via browser/computer use. My main job is adding credit card details and closing things that I don't see as a fit.

Harness Engineering Practices P6. Multi-Layer Verification Pyramid (Match Verification Frequency to Loop Position) 🎯 Point Run a 10-minute E2E test every step and your agent's thinking stops every 10 minutes. Verification needs a "weight class" design. 📝 Overview Fast, cheap checks (type checking, lint) run every step. Medium checks (unit tests) run at milestones. Slow, expensive checks (integration, E2E) run at completion gates. Match verification cadence to loop position to minimize the latency tax. 🔍 Explanation Running all verification every step is inefficient; batching it all at completion is too risky. This practice applies test pyramid thinking to verification timing. Type checks and lint finish in seconds, so running them every step barely impacts latency. E2E tests take minutes and would severely hurt agent throughput if run frequently. By placing fast verification inside the loop and slow verification outside, you achieve both feedback speed and coverage. 🛠 How to Practice - Classify verification into 3 tiers: every step (type checks, lint — seconds), milestones (unit tests — tens of seconds), completion gate (integration, E2E — minutes) - Embed verification timing into the harness loop structure so each tier fires automatically at the right moment - Measure latency per tier and narrow test scope or parallelize if inner-loop verification is too slow - Periodically audit for coverage gaps between tiers and close them 💼 Use Cases - Pair programming: run only type checks instantly on each edit, run only affected tests - Issue-to-PR agents: verify with unit tests during implementation, run full CI before completion - CI auto-maintenance: triage with cheap checks, run full tests only for repair verification ⚠ Pitfalls Getting the layers wrong costs both speed and quality. Heavy checks run too often kill latency; only light checks let regressions escape. Overconfidence in lightweight checks ("type check passed, we're good") is also dangerous. Understand exactly what each layer covers and verify there are no gaps between layers. #HarnessEngineering# #TestingStrategy#

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