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Engineering Leadership - Page 4
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 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…
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…
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