Topic
Productivity & Process - Page 7
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.
91
breakdowns
Page 7 of 10
GOTO ConferencesWhen Platforms Become Innovation Engines, Not Just Shared Services
Most platforms fail as glorified infrastructure or rigid standards. Gregor Hohpe shows how to build ones enabling speed and innovation.
AI EngineerYour LLM Bill Is a Model Selection Problem
Most features don't need frontier models; evaluate SLMs with a golden dataset and prompt engineering to match quality and eliminate inference costs.
AI EngineerAI Made Coding Cheap—Now Requirements Are the Moat
AI makes building software cheap, so building the wrong thing is cheaper and more dangerous. Winners master the old skill of deciding what to build.
AI EngineerWhen Not to Automate: RL for ETL Failure Remediation
An RL system cuts ETL recovery from days to minutes but deliberately escalates when unsure—reserving human judgment for novel failures.
AI EngineerVoice-In, Visuals-Out: The Latency Hack That Makes Agents Work
Latency kills voice-agent projects. Allen Pike's fix: drop voice output, serve visuals under 1s, and use a fast model with aggressive prefix caching.
Google for DevelopersWhen Designers Start Coding: AI’s Hidden Team Structure Shift
Vibe coding turns designers into developers, creating bottom-up micro-tools. The org impact may outweigh the productivity gain.
AI EngineerOrchestration Beats Intelligence for Reliable AI Agents
Recursive agents let small models beat frontier systems on complex tasks. The key is orchestration, not intelligence, but debugging and governance remain hard.
Y CombinatorThe AI Adoption Gap Is Organizational, Not Technical
Why 90% of enterprises see zero AI benefit, and how a disciplined ‘proven, better, new’ product framework can change that before compute costs drop.
GOTO ConferencesThe Cost of Guessing Wrong: Why Simple Systems Now Beat Future-Proofing
A seasoned engineer explains why the smartest path lies between reckless hacking and gold-plating: build only what you need now, but well enough to evolve.
Cole MedinYour AI Model Is Only 10% of the System
Google’s agentic guide: harness (rules, workflows, evals) is 90% of the system, model just 10%. Vibe coding burns tokens; engineered harnesses flip economics.
Get TL;DW
Too Long; Didn't Watch.
A concise breakdowns of the AI and devtools videos that actually matter for engineering leaders.
Free. Weekly. No hype.