Opinion page / measured product / rank 23
Codebuff Reviews and Ratings (2026)
Reader ratings for Codebuff, aggregated on the same 0 to 100 scale we use for the lab index, with our own commentary underneath. If you are looking for Codebuff opiniones, reviews or a rating you can check, the measurements behind every claim are on the Codebuff benchmark page.
Reader index
not rated yet
1 voters, 9 axis scores. Never blended into the lab index.
Lab index
66.89
Measured on the vibeOps spec
Strict pass rate
68.9%
31 clean and 7 failed executions
Median per prompt
59.8 s
p90 110.7 s
Reader index
One score per reader per axis on a 0 to 100 scale, editable at any time.
Reader index
not rated yet
Lab index
66.89
1 readers have scored 88% of the index weight so far. A reader index is published at 3 voters and 50% coverage.
| Axis | Weight | Lab | Readers | Votes | Reader mean |
|---|---|---|---|---|---|
| Agent performance | 18% | 76.0 | 78.0 | 1 | |
| Reliability | 18% | 68.9 | 67.0 | 1 | |
| Scalability | 13% | 68.0 | 67.0 | 1 | |
| API and MCP | 9% | 64.0 | 62.0 | 1 | |
| Integrations | 8% | 62.0 | 61.0 | 1 | |
| Design output | 7% | 58.0 | 58.0 | 1 | |
| Speed | 7% | 52.5 | 59.0 | 1 | |
| Value | 5% | 80.0 | 84.0 | 1 | |
| Code ownership | 3% | 97.0 | 100.0 | 1 |
The reader index is a weighted mean of reader submitted axis scores using the published index weights, renormalised over the axes readers have scored. It is never blended into the lab index. How this works.
Score Codebuff
Your scores feed the reader column only. Submitting an axis again edits your existing score rather than adding a second vote.
Reader scores need an account so one person cannot vote twice. Create a reader account or sign in.
Reader scores are published in a separate reader index column. They never move the measured lab index.
Reader lab notes on Codebuff
Written by readers with an account. Sorted by upvotes, then by date.
No reader lab notes yet. A note has to describe something you actually built, so the first one here is worth reading.
Write a lab note
What you built, what broke, what you measured. Short opinions belong in the open rating form further down.
Open rating distribution
Open ratings submitted without an account. Neither the lab index nor the reader index is part of this average.
| Band | Share | Ratings |
|---|---|---|
| 90 to 100 | 0 | |
| 80 to 89 | 0 | |
| 70 to 79 | 0 | |
| 60 to 69 | 0 | |
| 0 to 59 | 0 |
Lab commentary
Our reading of the numbers, kept separate from the reader ratings.
A terminal agent that spreads a task over several specialised sub agents, which keeps the median low and occasionally produces two edits that disagree with each other. Three of the five recorded conflicts of that kind were caught by its own review step. Fast, cheap enough, and best on well bounded tasks rather than open ended ones.
On the measured axes, Codebuff is strongest at code ownership with a subscore of 97.0 and weakest at speed at 52.5. Because speed carries 7 of the 100 index points, that weakness costs it roughly 3.33 points against a perfect result on that axis alone.
Reader ratings and lab measurements answer different questions. A reader rating carries the thing a harness cannot capture: whether the product was pleasant to work with over weeks, how support behaved, whether the bill matched the plan. The lab index carries the thing an opinion cannot: 45 timed executions of the same specification with the failures counted. Read them side by side and treat a large gap between the two as the interesting signal.
0 open ratings
Newest first, no account needed. Moderated for spam and vendor astroturfing, not for sentiment.
No reader ratings published yet. Yours would be the first.
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No account needed. For a score that counts toward the reader index, use the axis form above.