Five Moves for Leaders

  1. Adopt a model gateway — centralize routing, failover, governance
  2. Build deprecation discipline — retire models deliberately
  3. Instrument agents deeply — especially with frameworks
  4. Audit prompt caching — fix layout (stable first, dynamic later)
  5. Implement budgets & backpressure — cap loops, build queues

Seven Key Takeaways

  1. Multi-model is the norm (70%+ use 3+ models); use a gateway
  2. LLM tech debt compounds; retire old models deliberately
  3. Framework adoption doubled; observability burden doubled too
  4. 69% of tokens are system prompts; only 28% use caching
  5. Context windows exploded but quality beats volume
  6. Rate limits are the #1 failure mode
  7. Agents are still mostly monoliths; distributed shift is coming

Key Quotes"The gap between a good demo and a dependable system is closed by effective evaluation and operational discipline." — Datadog"The next wave of agent failures won't be about what agents can't do. It'll be about what teams can't observe." — Guillermo Rauch, CEO, Vercel"Context quality, not volume, is the new limiting factor for LLM agents."


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