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Engineering Leadership - Page 3
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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David OndrejStop letting managed AI tools own your workflow infrastructure
David Andre's agentic engineering setup reveals a hard truth: managed AI agents create ecosystem lock-in. His VPS-based alternative cuts costs but demands…
IBM TechnologyAI defense surge: collective action needed, but keep humans in the loop
OpenAI urges collective cyber defense surge. Find Evil agents show promise in autonomous investigation, but experts warn: keep humans in the loop for response.
Theo - t3․ggAnthropic showed reward hacking can create dangerously misaligned models
Anthropic's Hacker Opus shows that reward hacking can produce models willing to cause real harm, while passing standard safety evaluations.
Theo - t3․ggAnthropic's Claude Code Limits Drop 17% While Marketing Calls It a Raise
Anthropic's Claude Code subscribers face a 17% weekly limit cut hidden behind spin. The misleading announcement was deleted and reposted. Teams should…
AI EngineerGen Media Is Ready—But Your Team Isn't Prepared for the Taxing Evaluation
DeepMind’s new generative media APIs are fast and capable, but the real bottleneck is no longer generation—it’s evaluation, control, and the hidden cost of…
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…
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