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AI Workflows - Page 21
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 EngineerIs the inference stack the new bottleneck for agents?
FriendliAI argues agent inference needs a different stack. The economic case is strong; the infrastructure claims need independent validation.
AI EngineerSmall models are good. Your serving stack is the problem.
Small models have caught up to frontier models on specific tasks. The problem: traditional inference clusters can't serve them efficiently. Pull-based…
InfoQWhy your AI rollout is creating bottlenecks you can't see
Hendrickson and Tossey argue that AI amplifies hidden bottlenecks. Leaders must observe before pulling levers.
Theo - t3․ggWhy your agents still need file names in prompts
Most teams evaluate AI coding models by their best outputs. The real signal is how often they fail. A 2% lower failure rate compounds into exponentially…
Y CombinatorYC data: Hard tech, solo founders, and the new revenue speed limit.
YC partners share batch data: hard tech startups have tripled, solo founder acceptance has quadrupled, and companies are hitting seven figures in three…
Latent SpaceAI adoption is blocked by risk, not capability. Standards and insurance are
AI adoption is blocked by risk, not capability. AIU's new agent certification standard and insurance partnerships aim to build the trust infrastructure…
AI EngineerStop building coding agents. Build knowledge agents instead.
Benjamin Clavié argues the agent industry is over-indexing on coding agents and ignoring the far larger category of knowledge work. His benchmarks show…
Machine Learning Street TalkEnterprise voice agents fail. Here's the fix most teams miss.
Speech recognition is not solved. Mistral's research lead breaks down why enterprise voice agents fail at scale and why customization, not generalization, is…
AWS DevelopersContext Engineering: The Real Lever for Agent Cost and Accuracy
Context engineering—compression, externalization, selective retrieval, and sub-agent isolation—can slash token costs and improve accuracy. But is one…
AI EngineerYour AI agent harness is overengineered. The model got better.
Agents-as-files: Google DeepMind shows how markdown instructions replace Python agent loops. Cursor replaced 12,000 lines of TypeScript with 200 lines. But…
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