Bhanu Prasad·6d agoThe Token Economy Is Changing: Why AI Efficiency Isn’t EnoughFrom tokenmaxxing to tokenminimizing to valuemaxxing — the next evolution of AI productivity is not about how much we consume, but what we…
Alex Pimenta·6d agoSeu agente continua trabalhando. Mas ainda está avançando?Executar mais passos não garante aproximação da solução. Controle de custo e de progresso passa por detectar quando a trajetória estagnou.
Achref Tlili·Oct 21Token Economy, Compile Once Reuse Forever (LATM, CodeAct)What if your agent wrote the code for an MCP call once, then reused it forever?
Praveen Sidda·Oct 8Building a Context-Aware AI Router: Structured Decisions, Tool Filtering, and Local ExecutionHow structured routing, smaller tool context, and bounded local execution reduced estimated AI cost by 54.9 percent
CodyMasterAI·Oct 4Most of Your AI Pipeline Doesn’t Need Text GenerationTesting TypeSafe’s “System One” model, Jev, against Claude and Gemini on practical financial-services use cases — risk classification and…
Murali Krishna·Oct 2Token Economics & its impact on Agentic SDLCIn traditional software engineering, compute costs scale predictably with infrastructure runtime: CPU hours, memory allocation…
InDev GeniusbyPeter Sereda·Sep 30Better Quality/Cost Setup of Default Models for Subagents as of Fall 2026Even hyperscalers are watching their token spend nowdays, and Microsoft is no exception. Everybody know model of the agent session matters…
Vinay Srivastav Kasarla·Sep 28The Upgrade Tax: Why Newer AI Models Cost More Than Their Price Tag28 Sep 2026 · @Vinay Kasarla
InGenerative AIbySanjeev Jaiswal (Jassi)·Sep 15Every Token Counts: A Token-Efficiency Playbook for Claude AppsFrom prompt caching to maxTurns: the architectural patterns that keep cost, latency, and context intact to burn less tokens.
