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Tools2026-09-26 · source-backed
Their September 23 post reports a 66% smaller system prompt with no quality loss, achieved mostly by removing DO NOT rules that newer models no longer need, validated with A/B tests on production traffic rather than evals. Keeping only read, search, edit and shell static and loading the rest on demand cut static tool-description tokens 60%. Explicit cache breakpoints separating stable layers from the growing conversation cut cold cache misses 20%. Numbering every tenth line in file reads instead of every line saved 1.6% of cache-read tokens. All four port to a home-built harness, and the line-numbering one takes ten minutes.
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The coding agent wars just entered a new phase. Cursor isn't just an IDE anymore. It's a model company. Cursor released Composer 2.5 on May 18 with a custom agentic coding model trained using 25x more synthetic tasks than Composer 2 and a novel "targeted textual feedback" appr...
Bugbot now finds ~10% more bugs per review (0.62 vs 0.56) at ~22% lower cost per run. A new /review flow runs Bugbot and Security Review before push, dedups against the eventual PR, and supports incremental "only what's new" review. Cursor also added always-on Automations with...
Within five days of each other, both Claude Code (v2.1.158, May 31) and Cursor (3.6, May 29) shipped remarkably similar architectures for autonomous agent execution. Both use a classifier subagent that reviews each pending action against conversation context and decides: allow...
Cursor put Projects into beta on September 10. At its center is a coordinator agent with one unusual rule: it never writes code. It plans, starts implementing subagents that run in parallel, and brings their finished work back to you for review. The coordinator runs on a dedic...
The July 17 update makes Cursor share a plan before starting, stream status during execution, support multi-repo environments with mid-task repository switching, and read from and post to other Slack channels and threads (Cursor changelog). Cross-channel read is the real capab...
Triple-stream retrieval (BM25 keyword, vector embeddings, knowledge-graph traversal) fused via Reciprocal Rank Fusion on the iii engine, with SQLite for state and an in-memory vector index, no external database. The economic claim: ~170K tokens/year (~$10) versus ~650K tokens...
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