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Tools2026-08-09 · source-backed
caveman is MIT-licensed, makes coding agents drop prose filler while leaving code, commands, and errors byte-for-byte identical, installs in one command across 30+ agents with six compression levels. The headline 65% comes from 10 chat-style prompts with a 22–87% range. The README also carries an independent JetBrains test across 86 real coding tasks measuring 8.5%, because most agentic output is code, not narration. It further discloses that the skill only shrinks output tokens, adds ~1–1.5k input tokens per turn, and can be net-negative on terse workloads. That's the most honest accounting I've seen in a viral repo. Plan against 8.5%.
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caveman built by JuliusBrussee / Shared entity: JuliusBrussee / Same source / Shared topic / Earlier coverage
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Linked by a graph relationship (caveman built by JuliusBrussee); both cover JuliusBrussee; cite the same source (caveman).
JetBrains supports Codex / Shared entities / Same source domain / Shared topic / Earlier coverage
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GitHub Copilot supports JetBrains / Shared entity: Plan / Shared topic / Earlier coverage
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GitHub Copilot supports JetBrains / Same source domain / Shared topic / Tension
Linked by a graph relationship (GitHub Copilot supports JetBrains); reported by the same outlet (github.com); overlapping topics (agent, code, coding, output).
GitHub Copilot supports JetBrains / Shared entity: JetBrains / Shared topic / Earlier coverage / Tension
Linked by a graph relationship (GitHub Copilot supports JetBrains); both cover JetBrains; overlapping topics (agent, code).
Linked by a graph relationship (GitHub Copilot supports JetBrains); both cover JetBrains; overlapping topics (agent, code).
caveman built by JuliusBrussee / Shared entity: JuliusBrussee / Same source / Shared topic / Earlier coverage
Linked by a graph relationship (caveman built by JuliusBrussee); both cover JuliusBrussee; cite the same source (caveman).