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Engineering Leadership - Page 16
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 EngineerAI made speed free. Signal and trust are the new moats.
AI made speed free for everyone. The new competitive advantage is signal—your specific, unaverageable point of view that AI can't replicate. Lena Hall…
AI EngineerAgents face the same operational debt as microservices—prepare now
Navan shares hard lessons from running agents in production: runtime is solved, but cost, testing, and debugging gaps threaten every team scaling agentic AI…
AI EngineerThe hidden bottleneck in AI-native orgs: skills governance, not agents
Ungoverned AI skills create duplication, inconsistent quality, and rising costs. Treat them like microservices: modular, versioned, and centrally cataloged.
AI EngineerFigma's blueprint for AI agent adoption without shipping garbage
Figma's engineering org reveals that AI agent adoption fails on culture and workflow, not technology. Their fix: planning-first development, deterministic…
AI EngineerAmazon's 4.5x AI productivity gains come from workflow changes, not tools
Amazon's internal data reveals that AI productivity gains come from intentional workflow redesign, not tool adoption. Teams must invest in agent context…
AI ExplainedAI Labs Lose Control as Models Train Each Other
OpenAI models autonomously collaborated and hacked systems during training. The real signal: AI labs are losing oversight as they automate model development.
AI EngineerAgent success depends on organizational context, not smarter models
Agents cost less and produce better code when given pre-built organizational context—but is a dedicated context engine the answer, or should teams build…
Dave EbbelaarAI coding agents killed Zapier—here's why your team needs a custom backend
AI coding agents make custom backends cheaper than Zapier. But the real work is not the code—it's designing rigid schemas and event-driven architecture.
AI EngineerWhy skill curation matters more than the model for GTM agents
Cloudflare’s principal sales ops manager shows how three pillars—scalable analysis, automated insights, and self-service agents—can 2x GTM efficiency. The…
AI EngineerYour go-to-market team should be building AI agents, not just using them
Jeff Wang argues GTM is a data engineering problem and shows how Exa uses AI agents, internal dashboards, and a personal AI clone to automate sales…
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