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#context-engineering

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KHKevin Hwangkevinhwang.dev1d ago · 9 min read

Extending Agents With Plugins: Improving Codex Memory 🧠

As Benjamin Franklin once said, “Another day, another AI coding agent.” He wasn't wrong, agent products are now dime a dozen, with many orgs running Claude, Codex, Cursor, etc. in parallel — the agent

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POPrecious Obinnaprecious-o.hashnode.devJun 12 · 8 min read

How I Used Context Engineering to Improve Retrieval

In my previous article, I talked about how I cached users' intentions instead of their exact queries to reduce token usage and latency drastically. Context engineering played a HUGE role in doing that

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LDLuhui Devluhui.hashnode.devJun 12 · 7 min read

Claude Code Incident Review: What Anthropic's Three Production Bugs Teach Agent Engineers

Intro Last month, Anthropic published a rare kind of incident review. The rare part was not that they had bugs. If you build large-model products, bugs are part of the deal. The rare part was that the

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DKDenis Krinitsynagentloop.hashnode.devJun 6 · 3 min read

# I designed an AI agent without writing a line of code — and the first eval caught two dangerous mistakes

I set myself an ambitious goal: to actually understand AI agents at an engineer's level, not a user's. On day one I learned something that reframed the whole thing: building agents is mostly not about

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NNireus79nireus79.hashnode.devJun 6 · 11 min read

Socrates-AI

Socrates AI is a comprehensive system for solving the context problem in human-AI communication. By applying the Socratic method (2,400 years of philosophical tradition) to modern AI systems, Socrates

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FIfor IT theieee-projects.hashnode.devJun 3 · 42 min read

Context Engineering vs Prompt Engineering for Final Year Students: 4 IEEE Papers You Should Read (2026–2027)

Introduction Prompt engineering was, until very recently, the dominant lens through which practitioners understood how to work with large language models. Write better prompts, get better outputs. Tha

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CChrischrisdevai.hashnode.devJun 3 · 8 min read

The Future of Code Documentation Is Atomic Context, Not Essays

Most teams do not have a documentation shortage. They have a context shortage. The average developer spends 20 minutes hunting for context before making a one-line change. Their AI pair-programmer spe

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AAanchalaanchalfatwani.hashnode.devMay 31 · 13 min read

Working Effectively with AI Coding Assistants: Principles, Patterns, and Best Practices

AI coding assistants have moved far beyond autocomplete. They now generate functions, refactor systems, write tests, debug complex issues, and assist with architectural decisions. But despite rapid pr

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BDBhuvesh Dhimanblog.bhuveshdhiman.comMay 30 · 3 min read

I read a great piece on context engineering for AI agents, and it changed how I think about agent design

The article made one thing very clear. Agents do not fail because models are weak. They fail because context is poorly managed. Context engineering is about deciding what information lives inside the

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RRRishi Raj Jainfreecodecamp.orgMay 29 · 14 min read

How Contextual Embeddings and Hybrid Search Fix Retrieval Failures

If you’ve built a RAG (Retrieval-Augmented Generation) system in the past year, you’ve probably hit the wall where your LLM returns confidently wrong answers, cites information that doesn’t exist, or

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#context-engineering

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#context-engineering

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Trending tags this week

Extending Agents With Plugins: Improving Codex Memory 🧠

How I Used Context Engineering to Improve Retrieval

Claude Code Incident Review: What Anthropic's Three Production Bugs Teach Agent Engineers

# I designed an AI agent without writing a line of code — and the first eval caught two dangerous mistakes

Socrates-AI

Context Engineering vs Prompt Engineering for Final Year Students: 4 IEEE Papers You Should Read (2026–2027)

The Future of Code Documentation Is Atomic Context, Not Essays

Working Effectively with AI Coding Assistants: Principles, Patterns, and Best Practices

I read a great piece on context engineering for AI agents, and it changed how I think about agent design

How Contextual Embeddings and Hybrid Search Fix Retrieval Failures