After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI?
I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev
• 20-200x faster
• 40-400x cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
10 GitHub repos to spend 60-90% less tokens in Claude Code:
1. RTK (Rust Token Killer)
CLI proxy that filters terminal output before it hits your context
- 60-90% reduction on common dev commands
- one binary, zero dependencies
- works with Claude Code, Cursor, Copilot
Repo: https://t.co/WayvpBtyBH
2. Context Mode
Sandboxes raw tool output into SQLite instead of dumping it into context
- 98% context reduction on Playwright, GitHub, logs
- only clean summaries enter your conversation
- works as Claude Code plugin
Repo: https://t.co/YNbFIGQz7X
3. code-review-graph
Local knowledge graph that maps your codebase with Tree-sitter
- Claude reads only what matters, not the entire repo
- 49x token reduction on large monorepos
- 6.8x on average reviews
Repo: https://t.co/9gIzmAWN12
4. Token Savior
MCP server that navigates code by symbols, not full files
- 97% reduction on code navigation
- persistent memory across sessions
- 69 tools, zero external deps
Repo: https://t.co/OtvhrMgGWh
5. Caveman Claude
makes Claude talk like a caveman to cut output tokens
- 65-75% output reduction
- one-line install
- keeps full technical accuracy
Repo: https://t.co/onBeghTyfH
6. claude-token-efficient
one CLAUDE.md file that keeps responses terse
- drop-in, no code changes
- reduces output verbosity on heavy workflows
- best for output-heavy sessions
Repo: https://t.co/j6MKo9klQe
7. token-optimizer-mcp
MCP server with caching, compression, and smart tool intelligence
- 95%+ token reduction through intelligent caching
- compresses repeated tool outputs
Repo: https://t.co/0jIVQ4ANls
8. claude-token-optimizer
reusable setup prompts for optimizing any project
- 90% token savings in 5 minutes
- reduces doc token usage from 11K to 1.3K
Repo: https://t.co/puil9WwFGB
9. token-optimizer
finds ghost tokens that silently eat your context
- survives compaction without losing quality
- fixes context quality decay
Repo: https://t.co/92G8e4yeGq
10. claude-context (by Zilliz)
code search MCP that makes your entire codebase the context
- ~40% reduction with equivalent retrieval quality
- hybrid BM25 + dense vector search
Repo: https://t.co/yjfiQOSy15
[ how to stack them ]:
you don't need all 10. pick 2-3 based on your workflow:
> heavy terminal output? RTK
> big codebase? code-review-graph + Token Savior
> lots of MCP servers? Context Mode
> quick fix? Caveman + claude-token-efficient
most people are burning tokens without knowing it
run /context in a fresh session and see how much is gone before you even type a word
your pocket will thank me later :<)
Become a Claude Certified Architect
Here is the complete resource list in one place:
Link to join: https://t.co/OXQyTmfCmb
Training courses: https://t.co/UaJzLeXKrP (13 free courses)
Cookbook: https://t.co/SLnSUT7xT1
Exam Guide: https://t.co/A2pbDcyGwa
Practice questions: https://t.co/90eXwUxiXQ (free)
MCP documentation: https://t.co/SbwZI0fjVz (free)
API documentation: https://t.co/9rmnLWypxc (free)
Partner Network: https://t.co/diT5OE6ePJ (free to join)
Personal Playbook someone created after the exam: https://t.co/qhXan3XVri
Our teams have been building with a 2.5x-faster version of Claude Opus 4.6.
We’re now making it available as an early experiment via Claude Code and our API.
3 Cose che (Quasi) Nessuno Fa - Le tre abitudini più semplici per usare meglio l'agent coding. Nessuno le promuove abbastanza. Parla invece di scrivere, non umanizzare l'agente, sbaglia di più. https://t.co/jhzrgVmR84 via @agentcodingit