A developer known as dv-hart has released Newspeak, a Claude Code skill that compresses agent output by stripping filler words and hedging while preserving code, diffs, and security warnings, using th…
A new technique called Prompt+Steer, which combines prompting with activation steering, reduces output tokens by an additional ~13% beyond prompting alone on the CodeXGLUE code-to-text task, according…
Developers are creating tools to reduce token consumption by AI coding agents, addressing the rising cost of tokens in 2026. Three projects—rtk, caveman, and superpowers—take different approaches: rtk…
A developer released token-saviour, an agent skill that routes coding tasks to the most token-efficient tool based on a benchmark of nine tools, achieving up to 69.6% token reduction on comprehension …
A developer argues that focusing on token optimization for AI agents is a distraction from the real cost drivers, which are agentic loops involving multiple subagents and long-horizon execution. The d…
A developer built paraNOyar, a tool that forces coding agents to explain terminal commands before execution, enabling non-technical founders to understand and approve actions. The tool is installed vi…
Developer Steve Solun released Ctx, an open-source tool that reduces token costs by selecting only relevant skills, agents, MCP servers, and harnesses before a session begins, rather than compressing …
An evaluation of four agentic tools claiming to reduce token usage found no intervention demonstrated robust token savings across all models in realistic end-to-end tasks. The study tested caveman, rt…