Thoughts on token saving method using intelligent tool selection

<!-- SC_OFF --><div class="md"><p>Hi everyone,</p> <p>I’m currently working on a project to build a <strong>100% local AI chatbot</strong> for a government-related use case

<!-- SC_OFF --><div class="md"><p>Built a free alternative to Claude Code ($20-$200/mo) that uses NVIDIA's open models through the same CLI framework (FREE!).</p> <p><strong>How

<!-- SC_OFF --><div class="md"><p>The news about Ulysses Sequence Parallelism enabling million-token contexts is fascinating for local LLMs. While the potential for deeper context

<!-- SC_OFF --><div class="md"><p>We've been working on a tool called Deblank that tries to reduce token usage when sending code to LLMs.</p> <p>The idea is straightforward: most

<!-- SC_OFF --><div class="md"><blockquote> <p><strong>WARNING: wait before download from HF: I just realised my upload of the new versions with the additional fix in the chat

<!-- SC_OFF --><div class="md"><p>Cursor dropped their new product yesterday and its not a code editor anymore. its an agent orchestration console that happens to have an editor

<!-- SC_OFF --><div class="md"><p>A Meta employee built a leaderboard on the company intranet called &quot;Claudeonomics&quot; that ranks token usage across 85k employees. top 250

<!-- SC_OFF --><div class="md"><p>Been using ClaudeCode CLI with Opus 4.6 and many MCP's and honestly its addicting. </p> <p>Just tell it what to build and it does everything —