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AI Workflows - Page 44
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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IBM TechnologyThe 3D Chip and the Orchestration Wars
IBM’s 3D chip leap meets an orchestration model that challenges frontier labs, while token costs force enterprise governance.
Theo - t3․ggGoogle’s AI Talent Exodus Exposes a Culture That Punishes Builders
Google’s AI talent drain and poor agent performance are a culture crisis: firing a CLI tool builder reveals why innovation stalls.
AI EngineerHow OpenGov Replaced LangGraph with an Effect-Native Agent Loop
OpenGov’s custom Effect agent loop gave them tracing, concurrency, and safety, but the key was a tools-and-skills architecture for independent team scaling.
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.
AI EngineerAgent AI: Benchmark Scores Mean Little Without Production Evaluation
Agent benchmarks rise but production reliability lags. Treat evaluation as a live control plane, not just offline tests. Meta shows why.
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.
Theo - t3․ggChannels Are the True Unit of AI Context
Claude Tag’s real innovation isn’t the Slack bot—it’s channel-scoped AI memory that matches how teams actually organize. Useful, but watch for model lock-in.
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.
The Pragmatic EngineerAI Didn't Kill Coding Interviews—It Exposed What Actually Matters
NeetCode says coding interviews persist because they measure thinking, not syntax—the real risk is engineers losing the ability to reason without AI.
AI JasonMerging, Not Writing, Is the New Bottleneck for AI Coding
When AI coding agents multiply, the real bottleneck shifts to verifying and merging changes. Crabbox runs isolated cloud sandboxes to prevent test collisions.
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