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AI Workflows - Page 22
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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AI EngineerDurable execution is the real agent infrastructure challenge
Giselle van Dongen demonstrates why durable execution infrastructure, not agent SDKs, is the real bottleneck for production agent systems. Concrete failure…
Theo - t3․ggAI didn't kill React Native. Shopify just found a different bet.
Shopify drops React Native for native, crediting AI agents. But the real story is about Expo, OTA updates, and whether this bet generalizes beyond Shopify's…
InfoQAI is hollowing out junior engineers; preceptorship is the fix.
Scott Hanselman argues AI is destroying the junior developer pipeline by eliminating routine coding tasks that build foundational skills. His proposed fix: a…
InfoQRoblox's fix for the trust gap between AI code and production shipping
Roblox's engineering director reveals that the hardest part of shipping AI-generated code isn't the models — it's trust infrastructure, policy changes, and…
David OndrejPi's creator on why less tooling is smarter agent engineering
Pi agent's creator explains why bash-first minimalism beats complex tool harnesses, why cloud agents aren't ready for real dev work, and what enterprises are…
IBM TechnologyGPT-6 solved a Millennium problem—does your team need that?
GPT-6 solved a Millennium math problem with 10,000 agents and massive compute. A security startup used AI to create a WeChat worm. Engineering leaders must…
Hugging FaceStop Prompting: Build an Environment, Train a Small Agent in Hours
Two practical experiments show how to turn any coding task into an RL environment and train small models to specialize fast. The real takeaway: start with…
Theo - t3․ggNo single best model: choose by mergeability vs autonomy
Fable ships cleaner code, Astra handles computer use and big rewrites. The real decision is mergeability versus autonomous reach—and most teams need both.
AI EngineerOne Designer, Hundreds of Deliverables: AI Needs Structured Specs
A single designer shipped hundreds of AI Engineer event assets by turning design systems into agent-friendly specs—but validation and governance still carry…
AI EngineerAI slop is measurable—and fixing it requires judgment, not just bigger models
AI output collapses to the mean. Taste Labs shows slop is measurable with simple probes, and that brand APIs can dramatically improve fit. The real fix is at…
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