AI tool comparison
Caveman vs CodeBurn
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Developer Tools
Caveman
Claude Code skill that cuts ~75% of tokens by making Claude talk like a caveman
50%
Panel ship
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Community
Free
Entry
Caveman is a one-line installable Claude Code skill by Julius Brussee that instructs Claude to respond in ultra-compressed telegraphic language — short imperative verbs, no filler words, minimal articles — while preserving technical accuracy. The conceit is absurd: make Claude sound like a caveman. The result is practical: roughly 75% fewer output tokens per response. This matters because Claude's usage limits are token-based. Power users and teams hitting rate limits on Claude Code subscriptions have found that caveman-style output dramatically extends how many interactions they can run per session. The Hacker News thread hit 333 points the day it launched, with developers sharing variations and reporting measurable drops in token consumption for coding workflows. The project also spawned a fork (Caveman-Claude by om-patel5) that packages it as a higher-performance optimization layer with additional context-compression techniques. What started as a joke about caveman grammar is becoming a serious prompt-engineering pattern for token efficiency.
Developer Tools
CodeBurn
Track and cut your AI coding spend across every tool you use
75%
Panel ship
—
Community
Paid
Entry
CodeBurn is a terminal TUI dashboard that reads AI coding session data directly from disk — no API keys, proxies, or wrappers required — and surfaces a breakdown of token costs across Claude Code, Codex, Cursor, GitHub Copilot, and more. It auto-classifies activity into 13 categories (coding, debugging, testing, refactoring, etc.) and shows one-shot success rates per task type, giving developers a rare look at where their AI spend actually goes. The dashboard includes gradient charts, keyboard navigation, multiple time periods, and a currency converter supporting 162 ISO 4217 currencies. There's also an "optimize" command that scans sessions for waste patterns and outputs actionable, copy-paste fixes. For teams, a macOS menu bar app surfaces daily costs at a glance. With 2.7k stars after a Show HN post, CodeBurn clearly scratched a real itch. As AI coding budgets scale from hundreds to thousands of dollars per developer per month, tooling that makes costs visible and actionable becomes less optional and more essential.
Reviewer scorecard
“I tested this against my normal Claude Code sessions and the token reduction is real — closer to 60-70% in practice, but that's still significant. For long refactoring sessions where I'm hitting usage walls, this is now a permanent part of my setup. One-line install is the right distribution model.”
“This is exactly the observability layer AI coding has been missing. Knowing that 40% of my Claude Code tokens went to a single poorly-scoped context window is the kind of insight that pays for itself in the first week. The 'optimize' command is genuinely useful, not just marketing copy.”
“This is a workaround for Anthropic's pricing model, not a solution. The caveman syntax makes outputs harder to read and copy-paste — you'll spend cognitive overhead parsing the response. And if Anthropic changes how usage limits work, this approach becomes irrelevant overnight. It's a clever hack, not a durable tool.”
“The multi-provider claim is impressive on paper, but Cursor and Copilot don't expose session data the same way Claude Code does. Expect incomplete data for non-Anthropic tools until the provider ecosystem standardizes telemetry formats. Also: if your team uses ephemeral dev containers, good luck getting disk reads to work.”
“This is a data point in the larger story about prompt efficiency becoming a discipline. As token costs dominate AI budgets, compressing output without losing semantics will be a genuine engineering skill. Caveman is silly — but the underlying insight about output verbosity being a lever is serious.”
“Cost observability is the missing infrastructure layer for the AI-native development era. Just as APM tools like Datadog became mandatory once cloud costs mattered, AI coding cost tracking will be table stakes within 18 months. CodeBurn is an early mover in a category that will consolidate around one or two dominant players.”
“For any creative workflow — writing, design iteration, content generation — caveman output is actively counterproductive. The compressed style strips the nuance and polish from responses that make AI useful for creative work. This is a developer tool with a very specific use case.”
“The TUI design is clean and keyboard-navigable in a way most developer dashboards aren't. Gradient charts inside a terminal window sounds tacky but actually reads well. The category breakdown would make a genuinely compelling weekly standup artifact for teams trying to improve AI workflow discipline.”
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