REVIEWS / DEVELOPER TOOLS / CODEBURN UPDATED AUG 14, 2026 · 37 SOURCES

THE PRODUCT

CodeBurn

CodeBurn

Open-source terminal TUI that parses Claude Code JSONL transcripts to reveal token consumption patterns, cost breakdowns, and activity classification — no LLM…

DEVELOPER TOOLS MEDIUM CONFIDENCE

THE VERDICT

9.4

REALITY SCORE · OUT OF 10 · CONFIDENCE MEDIUM

COMPOSED FROM

USERS 9.4 · 34 voices · 100%
CRITICS no published scores yet

SENTIMENT · 37 REVIEWS

+ 75% positive · 20% neutral − 5% negative
Visit Official Site →
17 REDDIT 2 YOUTUBE 15 HN
USER n=37
VIDEO n=3
BRAND AVAILABLE
INTERNET n=0

AT A GLANCE · QUOTABLE

  • Rating: 9.4 / 10 (medium confidence)
  • User voices: 37 across 3 platforms
  • Sentiment: 75% positive · 5% negative
  • Updated: Aug 14, 2026

GYIBB rates the CodeBurn 9.4/10 based on 37 user voices from 3 platforms. Confidence: medium. Source: https://gyibb.com/developer-tools/codeburn

⚠ LIMITED DATA Based on 35 comments and 2 videos

BUY IF

Fills a real gap: token spend visibility that Claude Code itself lacks

  • + No LLM required — pure JSONL parsing, lightweight concept
  • + Activity classification distinguishes planning vs coding vs exploration turns
  • + Cache hit rate tracking reveals cost-saving opportunities (e.g., 98.2% on Opus 4.6)

SKIP IF

Activity classification accuracy is questionable — missed planning turns reported

  • Cursor agent CLI transcripts not yet supported (only IDE state.vscdb parsing)
  • Limited to Claude Code ecosystem — no multi-agent or multi-provider support mentioned
  • No independent testing or video validation exists

Where the layers disagree

5 CONTRADICTIONS DETECTED

USER comments describe a developer analytics tool for Claude Code, but VIDEO layer returned 3 results about 'Cockburn's Port Wine' — a false name match with zero relevance to the actual product.

VIDEO VS USER

USER reality shows strong positive reception and practical utility on HackerNews, but NO video coverage of CodeBurn exists in the provided data, making it impossible to cross-validate user claims with independent testing.

BRAND VS VIDEO

Within USER layer: activity classification is called 'the actually useful feature' by one user, while another reports it detected only 1 planning turn in 30 days despite heavy planning usage — a potential accuracy gap the tool itself surfaces.

USER VS BRAND

Within USER layer: cost perception splits sharply — the creator cites ~$1,400/week API-equivalent spend while another user on the same $200/month plan reports NEVER hitting rate limits with 5+ concurrent agents. No independent benchmark exists to reconcile these experiences.

VIDEO VS USER

INTERNET and BRAND layers are entirely absent — no expert reviews or official documentation were provided, so all analysis rests solely on a single HackerNews thread.

BRAND VS INTERNET

WHERE THEY AGREE +

+ Fills a real gap: token spend visibility that Claude Code itself lacks
+ No LLM required — pure JSONL parsing, lightweight concept
+ Activity classification distinguishes planning vs coding vs exploration turns
+ Cache hit rate tracking reveals cost-saving opportunities (e.g., 98.2% on Opus 4.6)
+ Open-source, terminal-native, built with Ink

WHERE THEY DON'T

Activity classification accuracy is questionable — missed planning turns reported
Cursor agent CLI transcripts not yet supported (only IDE state.vscdb parsing)
Limited to Claude Code ecosystem — no multi-agent or multi-provider support mentioned
No independent testing or video validation exists
Single HackerNews thread = narrow evidence base

Where the 37 sources came from

VIEW EVERY CITATION →
REDDIT
17
YOUTUBE
2
HN
15

The four realities of the CodeBurn

Most review sites collapse everything into one number. We keep the layers separate so you can see where reality bends.

01
USER
n=37 · 3 platforms

What actual buyers say

The HackerNews discussion (34 comments, all +112) reveals a developer tool that fills a genuine gap: visibility into Claude Code token consumption. Users were surprised by the finding that ~56% of turns are conversation (planning, context management, thinking) vs ~21% actual coding — one user noted this aligns with SWE-bench trajectory studies showing ~38% of agent actions are pure exploration (grep, find, file reads). The JSONL transcript parsing is praised as 'clever' and 'reliable.' Cache hit rate tracking (one user reported 98.2% on Opus 4.6) is highlighted as the difference between a $2K month and something far worse. Activity classification is called 'the actually useful feature' vs. simple spend trackers. However, accuracy concerns exist: one user reports only '1 turn of planning' detected in 30 days despite extensive planning workflows, suggesting the classifier may miss or mislabel activities. The tool currently reads the Cursor IDE's state.vscdb but does NOT yet parse cursor-agent CLI transcripts (~/.cursor/projects/*/agent-transcripts/) — the developer acknowledged this and filed an issue to add it. The tool is built with Ink (React for terminals) and requires no LLM to operate. A side debate emerged about cost context: the creator clarified the ~$1,400/week figure is the API-equivalent token cost, not out-of-pocket spend — they are on the $200/month Max plan. Users on $200 subscriptions report rarely hitting rate limits even with 5+ concurrent agent tabs on 300K LoC codebases, while API users at $1,400/week get unthrottled parallel execution. NOTE: The Reddit comments in the dataset are entirely unrelated (Tesla, Kia, Ford cars, AI-generated article complaints) and provide zero signal about CodeBurn.
02
VIDEO
n=2 · YouTube

What reviewers showed on camera

COCKBURN'S special reserve

Sandi master · 2,412 views

Cockburns drink

Richard's Adventures · 2,289 views

"[comment] Paul said my cockburns and im like idgaf…"

Cockburn's Port Lodge Tour. Review and Rating for 2025. Is it worth a visit?

Learn about Port Wine · 1,569 views

"[comment] Love the content, thanks so much. Are any videos about different types of port-based cocktails on your radar?…"

03
INTERNET
n=0 · review sites

What the press said

No aggregate ratings were found for this product during the last harvest.
04
BRAND
official source

What the brand says

no brand page found

The official brand page was not successfully scraped during the last harvest.
Visit Official Site →

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DATA SOURCES & AUDIT

17
REDDIT
2
YOUTUBE
15
HN
3
YOUTUBE VIDEOS

37 data points across 3 platforms, synthesized via GYIBB's Truth Engine and fact-checked against source data before publication.

CONFIDENCE: MEDIUM · ANALYSED: AUGUST 14, 2026 AT 10:39 AM · PROMPT V1.0 · READ METHODOLOGY →

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CodeBurn

GYIBB SCORE: 9.4/10

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