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From Memory to Mastery: How 'Beads' Reshapes Context Management for Coding Agents

This story is from 2026-10-17. It is preserved in the archive; the latest stories are on the live feed.

Originally published on tamiz.pro . Introduction The fundamental bottleneck in building autonomous AI coding agents isn't just the quality of the underlying Large Language Model (LLM); it's how that model manages context. Current agentic frameworks largely rely on a linear, token-heavy approach whe…

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  1. 2026-10-17 00:03 · DEV Community — AI
    From Memory to Mastery: How 'Beads' Reshapes Context Management for Coding Agents

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