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Context engineering is becoming essential as AI agents take on more software development work. An agent can plan, code, test, investigate incidents, trigger CI, and help deploy sof...
Claude power users rarely edit their context files and often can’t find them. Your AI agent is only as powerful as its context library.
How to apply the latest context engineering guidelines to your day-to-day data science work The post Context Engineering Is Changing. Here’s What It Means for Data Scientist...
AI-agent power users curate 3 kinds of context: global (across tasks), local (task-specific), and ambient (raw streams like email).
Designing beyond the interface, the product, and the promptContinue reading on UX Collective »
An account executive opens a $5M expansion that the CRM marks “Commit” and asks an agent for the next best action. Working from the CRM alone, the agent does the sensible thing: it...
TL;DR: Prompt engineering enhances the instructions given for using an AI model, while context engineering involves building the surrounding context within which such instructions...
Stop guessing with prompts. Learn how Context Engineering optimizes LLM memory and RAG to build reliable, production-ready AI agents. The post Mastering Context Engineering for Hig...
Context engineering for AI agents: what to include and exclude, the four failure modes, core strategies, advanced techniques, and how to measure it.
When model providers announced 1-million-token and multi-million-token context windows, the software engineering world celebrated. The immediate narrative was simple and appealing:...
Beta 5 release of Drupal AI Context Beta 5 of Drupal AI Context , also known as Context Control Center (CCC), is now available. This is expected to be the final beta release, and a...
Drupal AI Context first release candidate The first release candidate (RC 1) of Drupal AI Context , also known as Context Control Center (CCC), is now available. This is a major mi...
Jaydeep Chakrabarty of Piramal Finance on why retrieval alone caps your AI stack, and how a knowledge graph can derive context nobody ever wrote down.
Over the past two years, enterprise AI conversations have focused heavily on models, agents, and infrastructure. Organizations have evaluated foundation models, experimented with a...
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A context window can be technically complete and still describe a world that no longer exists. I built a deterministic benchmark to measure the cost of acting on stale context. The...
A shallow agent is an LLM calling tools in a loop, and on long tasks it fails in 2 ways: context overflow and goal loss. This article opens the harness layer that fixes both, with...
Drawing on Elastic's experience helping enterprises build AI for production, Head of Field Engineering Ravindra Ramnani explains why context engineering is emerging as the next cri...
Drupal Canvas AI shifts content platforms from reading to writing, using governed context layers to help enterprise AI agents automate safely.
Reposted from Acquia with permission from Acquia. Authored by Martin Anderson-Clutz (mandclu) Drupal Canvas AI shifts content platforms from reading to writing, using governed con...
First, for some context: AI is creating a resurgence for “context” in the industry lexicon. Large language models rely on context to understand intent, resolve ambiguity, and gener...
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