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Engineering Leadership - Page 17
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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The Pragmatic EngineerHardware ceilings, not hotspots, should drive your optimization strategy
Casey Muratori argues that the best optimizers don't start with a profiler. They start with the hardware's theoretical maximum. Your team's architecture is…
AI EngineerWhy AI agent success depends on quality, not coverage
Snowflake deployed a GTM AI agent to 6,000 users. Key lessons: quality over coverage, change management dominates post-launch effort, and logs create…
GOTO ConferencesPlatform Engineering Beyond Gold Plating: APIs, Bricks, and Product Thinking
Daniel Bryant makes the case for platform engineering as product development: golden bricks over golden paths, API-first design, and metrics that matter. A…
Cole MedinThe Slop Apocalypse Is Real – Why AI Code Bloat Demands New
AI code bloat is real – BMAD founder warns of a 'slop apocalypse' that increases token spend and slows cycles. Engineering leaders must rethink governance…
Y CombinatorLeya's $100M lesson: Skip fine-tuning, bet on better models
Leya's $100M ARR in 18 months without fine-tuning any model. The real lesson: bet on model improvement, obsess over workflow design, and freeze sales when…
Theo - t3․ggWhy memory systems make AI coding agents worse, not better
Memory systems for coding agents are worse than useless. They store stale, irrelevant context that misleads models. The better approach: invest in…
Theo - t3․ggCoding is solved. Engineering isn't. Your verification loop is the real bottleneck.
Agents write code faster than humans, but they can't verify their own work. The bottleneck has shifted from generation to verification—and most teams aren't…
InfoQHow a bank's top team got tired of AI coding agents
A seasoned team that practices TDD and mob programming tried AI for everything. The result: fatigue, reduced flow, and slower delivery. A grounded…
AI EngineerThe AI safety net that nods along while patients are harmed
Production AI clinical notes have a 5% serious error rate. Current evaluation systems miss most because they can't judge what matters in context. A…
AI EngineerStop using agent frameworks: Build event-driven pipelines instead
A CEO built his own agent runtime in two weeks. The key: event-driven architecture, YAML definitions, and structured outputs. No frameworks needed.
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