OnPoint: one switch that makes AI coding agents say less and do more
The problem Most AI coding agents bury the next useful step under walls of prose. Long sessions burn tokens on filler instead of decisions. OnPoint is one install that teaches 12+ AI coding agents (Claude Code, Cursor, Codex, and more) the same habit: Big idea first Next action Fewer words On long

The problem Most AI coding agents bury the next useful step under walls of prose. Long sessions burn tokens on filler instead of decisions. OnPoint is one install that teaches 12+ AI coding agents (Claude Code, Cursor, Codex, and more) the same habit: Big idea first Next action Fewer words On long-horizon runs we measured about 23% fewer tokens, without inventing a new agent stack. Repo (MIT): https://github.com/HuskyDanny/OnPoint For Claude Code: npx skills add HuskyDanny/OnPoint Or point your agent at the skill files in the repo and keep shipping. Built by Junchen Pan. Feedback welcome on the Issues tab.
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- β’The problem Most AI coding agents bury the next useful step under walls of prose
- β’This story was reported by Dev.to, covering developments in the dev space.
- β’AI advancements continue to reshape industries β read the full article on Dev.to for complete coverage.
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