Topic: context layer

Why Not All AI “Context” is Equal

Enterprise AI has reached an inflection point. After a wave of experimentation with LLMs, engineering leaders are discovering a hard truth: better models alone don’t deliver better outcomes. Context does. This realization is reshaping how organizations build AI systems as they move from copilots to fully autonomous agents.  But there is “context” in that LLMs … continue reading

The Missing Context Layer: Why Tool Access Alone Won’t Make AI Agents Useful in Engineering

The cloud native ecosystem is betting big on AI agents as the next productivity multiplier for engineering teams. From automated code review to incident triage, agents promise to offload toil and accelerate delivery. But as organizations move past proof-of-concept demos and into production rollouts, a pattern is emerging: giving an agent access to tools is … continue reading

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