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AI Workflows - Page 7
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 war rooms can crack legacy code, GEICO's $1,000 day shows
GEICO's $1,000 AI war room mapped legacy claims domains in a day. The deciding factor was human approval gates, not model choice.
AI EngineerMake legacy code AI-queryable: Vanguard's 7-day research loop became 15 minutes.
Vanguard cut legacy research from 7 days to 15 minutes by making its mainframe code queryable through MCP. The real lesson is governance.
AI EngineerWhy a faster model can make your users wait 8x longer
MiniMax's M3.1 flash is faster per token, but doubling concurrency lifted p95 wait from 1.5s to 11.3s. Evaluate the whole job, not the model.
GOTO ConferencesThe next AI bottleneck is governance, not individual developer speed
Don Syme wants agents running continuous maintenance inside GitHub Actions. The promise is a self-tending repo. The catch: cost, guardrails, and who approves…
Latent SpacePaying engineers for output exposes AI's real bottleneck: process
Tenex runs an engineering team paid by output, not hours. The bigger lesson: enterprise AI stalls because processes aren't standardized enough to automate.
Theo - t3․ggSmarter models just changed who gets to build software.
One developer rewrote the TypeScript compiler in Rust in under 20 hours. The real shift: smarter models let non-coders ship software they don't understand.
Cole MedinStop tweaking prompts: engineer the harness around your production agents
Production agents need harness engineering: versioned markdown rules, trace-based fixes, and human approval. The demo is a vendor pitch, the workflow is real.
IBM TechnologyConfidence scores are not proof: decision AI needs an audit trail
A decision engine that says 'contain this host, 97%' is useful, but confidence isn't evidence. The real question: can you audit why?
Latent SpaceGPU capacity is becoming a traded market. Neutrality is the constraint
B300 rental costs $5-6/hr yet can earn $40/hr running inference. SF Compute is building the market to clear that gap.
AI EngineerCompliance velocity in banks comes from showing work, not better AI.
AI in banks moves from year-long to weeks when you prove CVEs dead, build your own DR, and stop LLM-judge traces leaking PII.
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