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AI Workflows - Page 3
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 EngineerAI agents fail without organizational context: the case for context engineering
AI agents are smart but ignorant of your organization's history. Context engineering solves the gap between code that compiles and code that works.
David OndrejOpen models reached parity. Now the bottleneck is your CI pipeline.
Open-weight models now rival frontier labs. The real competitive edge isn't the model—it's robust evals and CI infrastructure that enables reliable…
Theo - t3․ggThe real bottleneck after AI agents is merge confidence, not code generation.
52 PRs on vacation sounds like AI hype. The real signal: agents move the bottleneck from writing code to verifying it. Copy the safety nets, not the velocity.
All About AIAI agents built a trading bot. Validation was the real challenge.
A coding agent built a weather trading bot in hours - then its own uncertainty logic blocked the trade. Agent speed is outpacing validation.
AI EngineerLLM inference is a memory problem, not a compute problem
Inference cost is the hidden operational tax on AI products. This workshop breaks down the KV cache bottleneck, model vs. serving optimisations, and when VLM…
Latent SpaceKilling code review is only safe for small, agent-native teams
Mandatory code review is gone at AMP. Bet: trust, agents, and cloud dev make review gates obsolete. Catch: that math works for 20 people, not every org.
Y CombinatorHarness, not model, now decides agent performance and cost
How much agent performance comes from the harness, not the model? YC's harness night shows huge gains—and the governance costs that follow.
IBM TechnologyAI Makes Code Quality a Decision Problem, Not a Writing Problem
AI makes code generation easy, but shifts the hard part to decision quality. Teams must validate behavior, not authorship, and embed governance into…
Y CombinatorOpen models are winning on economics. The bottleneck is now orchestration and
Open models are winning on cost and control. Token usage has exploded 150x, driven by coding agents. The new bottleneck isn't intelligence—it's…
Themes
IBM TechnologyAnthropic's safety layering creates hidden non-determinism for agent workflows
Anthropic's safety-layered models create hidden non-determinism when classifiers silently swap engine behavior. The OpenAI Hugging Face escape shows…
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