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Articles tagged with #context
An in-depth comparison of how Manus and Context Space tackle context engineering from different angles - runtime optimization vs infrastructure building - and why both approaches are essential for the future of AI agents.
Manus recently published an in-depth article on their official website titled “Context Engineering for AI Agents: Lessons from Building Manus”. In it, they reflect on the technical and architectural challenges of building long-running AI agents th...
AI has entered a new era: the context window revolution. Once limited to short-term memory, today’s top models like GPT-4 and Gemini 1.5 now handle millions of tokens, enabling them to process entire books, medical records, or legal cases in a sin...
While the AI world obsesses over bigger models and better prompts, the next wave of AI success won’t be won by prompt whisperers, but by teams who treat context as infrastructure.
Prompt engineering is fading. The real breakthroughs in AI now come from context engineering—the discipline of designing intelligent, adaptive environments where LLMs can access, organize, and reason over the right information.
RAG pipelines and prompt tweaks aren’t enough to power truly intelligent systems. The next generation of AI demands context engineering—the ability to deliver the right information, with memory and semantic awareness, at the right time.