New15 min read
Context Engineering for Agents: Caching, Compaction, Subagents
Context engineering for agents, explained: caching, compaction, tool-result clearing, retrieval and subagents, with the exact Anthropic and OpenAI API knobs.
CONTEXT ENGINEERING
24 articles
LATEST
Agent Memory Architectures Explained: 5 Layers and How Each Framework Builds Them
Agent memory is five layers: history, compaction, semantic recall, working memory and files. How Mastra, LangGraph, OpenAI and Claude implement each.
•12 min read
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12 min read
The Text Is a Control Surface
The text agents read is a control surface: bad MCP error messages cost more on stronger models, and context hygiene gains value with every model upgrade.
8 min read
Agent Retrieval Bench Finds The Files Before The Fix
Agent Retrieval Bench isolates the part of coding-agent work most evals hide: did the agent find the right repository files before it started editing?
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8 min read
CodeNib Makes Repository Context a Data System
CodeNib treats repository context as compiled infrastructure, so coding agents stop rediscovering the same repo through grep and reads. What it builds.
7 min read
The New MCP Roadmap: Progressive Discovery and Agent Auth
The new MCP roadmap prioritizes progressive discovery for large tool catalogs and standardized agent identity. What changes for developers building MCP servers.
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7 min read
CLAUDE.md Files Never Stop Growing: A New Paper Names the Mechanism
CLAUDE.md and AGENTS.md files keep growing because the reasoning behind each rule decays. A study of 1,867 repos names the mechanism and a comment-based fix.
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8 min read
Agent Memory Is Moving Into the Model
Agent memory is moving into the model: in-backbone memory, parametric memory, reconstruction and transactional writes challenge external stores. What to do now.
6 min read
AGENTS.md Configuration Smells: 91% of Popular Repos Get One of Six Wrong
AGENTS.md and CLAUDE.md configuration smells: a SCAM 2026 study of 100 top repos catalogs six, led by Lint Leakage and Context Bloat. What to fix in yours.
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7 min read
AGENTS.md Files Don't Move Coding Agent Correctness: A 288-Run Ablation
AGENTS.md and context files do not measurably change coding agent correctness in a 288-run Claude Code and Codex ablation. Failures were implementation skill.
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6 min read
OwlPath: Ontology-Based Code Retrieval Cuts Agent Tokens 29%
OwlPath encodes code into an OWL2 ontology so coding agents can answer multi-hop structural queries with SPARQL, cutting tokens 28.8% on SWE-bench Pro.
10 min read
Wiki Skills: The Missing Graph Layer in Agent Context
Wiki skills add the missing graph layer to agent context: skills that link to each other let agents navigate knowledge instead of front-loading it all.
7 min read
Anthropic Removed 80% of Claude Code's System Prompt. Here Is What They Learned.
Anthropic cut over 80% of Claude Code's system prompt for Claude 5 models with no coding eval loss. The new context engineering rules and what HN thinks.
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Showing 12 of 23 articles
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