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#contextengineering

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AI CODING ULTIMATE REVOLUTION IS HERE!

Want to build smarter, faster and insanely reliable AI agents?
Learn the context engineering secrets, the future of vibe coding that make AI agents:

⚡ 10x faster
🎯 100% reliable
🧠 Incredibly smart

This blog dives into context engineering, showing how to build smarter AI agents for faster, reliable results.

Super easy to understand!

Read it here: dhanushnehru.medium.com/contex

Medium · Context Engineering: The Secret Behind Smarter AI Coding | MediumBy Dhanush N

"As frontier model context windows continue to grow, with many supporting up to 1 million tokens, I see many excited discussions about how long context windows will unlock the agents of our dreams. After all, with a large enough window, you can simply throw everything into a prompt you might need – tools, documents, instructions, and more – and let the model take care of the rest.

Long contexts kneecapped RAG enthusiasm (no need to find the best doc when you can fit it all in the prompt!), enabled MCP hype (connect to every tool and models can do any job!), and fueled enthusiasm for agents.

But in reality, longer contexts do not generate better responses. Overloading your context can cause your agents and applications to fail in suprising ways. Contexts can become poisoned, distracting, confusing, or conflicting. This is especially problematic for agents, which rely on context to gather information, synthesize findings, and coordinate actions.

Let’s run through the ways contexts can get out of hand, then review methods to mitigate or entirely avoid context fails."

dbreunig.com/2025/06/22/how-co

Drew Breunig · How Long Contexts FailTaking care of your context is the key to building successful agents. Just because there’s a 1 million token context window doesn’t mean you should fill it.