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Engineering Leadership - Page 22
AI decisions through the lens of teams and execution. Curated tldw.news briefings about engineering leadership, with practical engineering takeaways from long-form AI and developer-tool videos.
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AI EngineerOpenAI's Codex harness reveals agent governance patterns teams should steal
OpenAI's Codex harness is open source and reveals production patterns for agentic infrastructure including context capping, deferred tools, and auto-review…
IBM TechnologyYour AI agent skills are dependencies. Start treating them that way.
Agent skills look simple but hide real risk: 13% of public skills have critical flaws. Build from real expertise, not LLM output. Use deterministic scripts…
AI EngineerMultiplayer agents demand team-wide infrastructure, not just better models
How to scale agentic coding across your team: shared sessions, secure sandboxes, and benchmarking on your own codebase—not just public benchmarks.
AI EngineerAI Coding's Productivity Spike Fades Without Verification Debt Control
AI coding tools boost productivity for ~3 months, but code quality degrades. Independent verification is the missing piece for sustainable gains.
AI EngineerVelocity Sickness: Why AI Speed Breaks Team Coordination
AI makes engineers faster, but teams suffer from 'velocity sickness'—output without impact. The solution: shift from code velocity to idea velocity by…
AI EngineerAI agents for production ops: context beats execution
AI coding agents are creating more production issues. Background agents that run on schedules and triggers can handle operational toil, but only if they have…
AI EngineerGitHub Next: AI automations need guardrails, not just prompts—and multiplayer coding is
Idan Gazit presents two GitHub Next prototypes: Agentic Workflows with deterministic security guardrails and Ace, a real-time multiplayer coding environment…
AI EngineerWhy Refactoring Now Beats Waiting for Better AI Agents
Should you refactor your legacy codebase now or wait for AI to improve? One team's experience shows the tradeoffs and why acting now still wins.
Y CombinatorRobotics Scaling Walls: Four Hard Problems Teams Still Face
Robotics is not solved: sim-to-real gaps, sensory-motor limitations, and embodiment drift remain. New approaches in memory and reasoning show progress, but…
Y CombinatorDeep Tech Fails From Boring Operations, Not Broken Tech
Deep tech startups fail not because the tech doesn't work, but because they can't organize operations. Hodak explains why infrastructure is the hidden…
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