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Kimmy

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liked a Space about 24 hours ago
Xenova/the-tokenizer-playground
reacted to aufklarer's post with 🔥 4 months ago
Context Engineering for Code Agents: Why They Fail and How to Fix Them Code agents don't fail because they can't code — they fail because their context turns into a junk drawer. I wrote a practical survey covering the emerging discipline of context engineering for agentic hybrid applications: the techniques, papers, and architectural patterns that keep long-running code agents on track as their token windows fill up with tool logs, stale diffs, and repeated file dumps. What's covered: Why long context windows alone don't save you (position bias, distractor sensitivity) Observation masking vs. LLM summarization — and when simple beats clever Tool-output compression with approaches like LLMLingua-2 Trajectory reduction: pruning dead branches from agent history Memory hierarchies: session → working set → notes → cross-session How MCP and standardized tool interfaces reduce context debt Dynamic context policies trained with RL (DeepMiner, MEM1) Meta-agent CI loops for measuring regressions across agent configs The core argument: the engineering challenge isn't "make the model smarter" — it's make the agent's context and verification smarter. That's where the real leverage is in 2026. 👉 Read the full post: https://blog.ivan.digital/context-engineering-for-agentic-hybrid-applications-why-code-agents-fail-and-how-to-fix-them-076cab699262
liked a model 5 months ago
Wanlau/RVC_BanGDream
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