Topic
Productivity & Process - Page 3
Process changes that affect focus, throughput, and quality. Curated tldw.news briefings about productivity & process, with practical engineering takeaways from long-form AI and developer-tool videos.
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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…
IBM TechnologyYour LLM's benchmark score is lying about production
Leaderboard scores don't predict production. Real AI reliability depends on system evaluation, workload shape, and agent chain testing.
Cole MedinWhy your AI coding agent keeps ignoring your rules—and how to fix
Rules are probabilistic instructions; hooks are deterministic guarantees. This video makes the case that most teams overload their agent rules with process…
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…
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…
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…
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