Context Speaks to the Interface: The Shift from Developer Productivity to Enterprise Velocity
For the last two years, the enterprise AI conversation has been dominated by one question: how much more productive can we make the developer? The metrics have been familiar: lines of code generated, hours saved, user stories completed faster and pull requests merged sooner. These are useful indicators, but they tell only part of the story. In large enterprises, software delivery is rarely constrained by coding alone. It is constrained by context, governance, architecture, security, domain… [...]
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Agent context layers: Enterprises governing their AI data are catching twice as many bad answers as the ones who aren't
Across 101 enterprises, the context feeding AI agents is failing often and repeatedly. Sixty-eight percent have traced a confident but wrong agent answer to missing or inconsistent business context in [...]
Enterprise AI agents are only as reliable as the messiest documents behind them
Enterprise AI has largely been built around context engineering. Teams connect enterprise systems, generate chunks and embeddings, build retrieval pipelines, and assemble the context needed by individ [...]
The AI context gap: Enterprise AI organizations have a trust problem, not a retrieval problem — and most are still building the fix
Across 101 enterprises, the infrastructure that feeds AI agents their business context is being built faster than it can be trusted. Retrieval-augmented generation is already the default context sourc [...]
57% of enterprises have watched AI agents be confidently wrong. The fix is an agentic context layer, but who has one?
An enterprise AI agent answers with total confidence, but the number is wrong. Nobody catches it until someone traces it back to a stale metric definition or a document the retrieval system never pull [...]
Perplexity takes its ‘Computer’ AI agent into the enterprise, taking aim at Microsoft and Salesforce
Perplexity, the AI-powered search company valued at $20 billion, announced on Wednesday at its inaugural Ask 2026 developer conference that its multi-model AI agent, Computer, is now available to ente [...]
Apple’s new Siri AI is more than just a smarter assistant — it's a new enterprise app layer
Apple’s new Siri AI, unveiled yesterday at Apple's annual Worldwide Developers Conference (WWDC 2026), may look like a consumer product story on the surface. But for enterprise developers and I [...]
Vercel breach exposes the OAuth gap most security teams cannot detect, scope or contain
One employee at Vercel adopted an AI tool. One employee at that AI vendor got hit with an infostealer. That combination created a walk-in path to Vercel’s production environments through an OAuth gr [...]
GAM takes aim at “context rot”: A dual-agent memory architecture that outperforms long-context LLMs
For all their superhuman power, today’s AI models suffer from a surprisingly human flaw: They forget. Give an AI assistant a sprawling conversation, a multi-step reasoning task or a project spanning [...]
ACE prevents context collapse with ‘evolving playbooks’ for self-improving AI agents
A new framework from Stanford University and SambaNova addresses a critical challenge in building robust AI agents: context engineering. Called Agentic Context Engineering (ACE), the framework automat [...]