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Engineering Leadership - Page 9
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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GOTO ConferencesYou Think Languages Change Fast. Here’s the Data That Proves Otherwise.
Three independent rankings show the same thing: programming language adoption is slowing. AI is entrenching incumbents. Disruption isn’t coming.
InfoQCoding agents are making comprehension the new bottleneck for engineering teams.
Coding agents remove the gatekeeping around code production, but create a new bottleneck: comprehension. The speaker argues that the future belongs to…
AI EngineerWhy your coding agents fail in teams and how to fix it
Coding agents work for individuals but break in teams. The fix isn't better models or prompts—it's organizational investment in shared agent infrastructure.
David OndrejMulti-Agent Workflows: The New Collaboration Crisis Engineering Leaders Must Solve
AI agents are moving from solo tools to team members. Without shared context, file systems, and Slack integration, collaboration breaks down. The bottleneck…
Y CombinatorOpen source AI agent creator warns: fun is velocity, dependency is risk.
When your open-source AI agent explodes to 4.7M downloads, the fun stops. Steinberger on security, burnout, and why model dependency nearly broke his project.
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…
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