#token optimization
5 related articles
·1 min
CodeGraph in Practice: How a Local Code Graph Saves 47% on Token Costs
CodeGraph pre-builds a local code graph so AI coding assistants query function calls and module dependencies directly — cutting 47% of tokens and 58% of tool requests in real benchmarks.
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Tech Frontiers·3 min
Claude Code Source Code Leak: Full Roadmap for Opus 4.7 and Mythos 5 Exposed
Anthropic suffers a major code leak exposing 500K+ lines of Claude Code source, unreleased Opus 4.7, Sonnet 4.8, Mythos 5 models, 44 hidden feature flags, and the full product roadmap.
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Tutorials·3 min
Open-Source Multi-Agent Intelligent Diagnostic System: Deep Dive into MCP + RAG + Skill Routing Architecture
Deep dive into an open-source multi-Agent diagnostic system built on modified OneCall, featuring MCP real-time interaction, RAG-enhanced Q&A, and Skill routing to minimize Token consumption.
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Product Reviews·2 min
G-Rec: An Open-Source Agent Framework Built for Gemini CLI
G-Rec is an open-source agent framework built on Gemini 2.5 Pro with Windows/Chinese path support, persona systems, and skills extension, offering a free alternative to Claude Code.
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Product Reviews
GPT-5 Codex Deep Dive: 93% Token Savin…
·2 min
GPT-5 Codex Deep Dive: 93% Token Savings But Tool Ecosystem Still Needs Work
Deep testing GPT-5 Codex: 93.7% Token savings on simple tasks with deeper reasoning on complex ones. But UI quality drops, search is poor, and tool ecosystem fragmentation remains a major issue.
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