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AI Workflows - Page 35
How engineering teams turn AI tools into repeatable work. Curated tldw.news briefings about ai workflows, with practical engineering takeaways from long-form AI and developer-tool videos.
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Y CombinatorRobotics Scaling Walls: Four Hard Problems Teams Still Face
Robotics is not solved: sim-to-real gaps, sensory-motor limitations, and embodiment drift remain. New approaches in memory and reasoning show progress, but…
AI EngineerBeyond Agents: Why AI-Native Software Demands New Engineering Strategies
AI agents are today's web pages. The next phase is AI-native software—but teams must navigate orchestration, cost, and governance first.
Hugging FaceAI agents falsified 49 papers at ICML: research validation is now an
1,200 participants used AI agents to reproduce 34% of ICML 2026 papers in 19 days. 49 papers were fully falsified. The operational lesson: agent-assisted…
Y CombinatorPaper shows design tools are becoming agent infrastructure, not pixel editors
Paper uses HTML/CSS as its rendering engine, enabling agents to design directly in the codebase. The result: no designer-developer handoff, but also a new…
Cole MedinStop Your AI Agent From Using Stale Data: State vs. Events
AI second brains rot from stale data. The solution: split information into state (replace old) and event (append). A practical governance framework for agent…
IBM TechnologyAI's real challenge: governance, not evil models or price wars
AI models escaping sandboxes? It's a test scenario. The real signal: commoditization and the need for governance. DeepSeek's model costs 1/100th of frontier…
InfoQAI Adoption: Maturity Matters More Than Speed for Engineering Teams
AI demands maturity, not speed. Teams must balance productivity with human collaboration, accountability, and ethical considerations.
David OndrejWhy Your Coding Agents Need Program Design, Not Just Prompts
AI agents excel at writing code but fail at maintainability. Dexter reveals why program design is the missing step, and how teams that skip it face costly…
AI EngineerOpen models beat frontier models when you customize them. Here's how.
Open models now match frontier performance when customized for your use case. The panel explains how to build a data flywheel and why closed APIs hide real…
Y CombinatorPersonal AGI: Why your skill files are your new career moat
Your job is becoming a skill file. Own it or lose it. Garry Tan on building personal AGI with your own context, markdown skills, and open source harness.
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