Detail

Software should work.

[Detail @detaildotdev]

@BentoumiTech @jessethanley @danlovesproofs 🫡

[Khaled Bentoumi @BentoumiTech]

We've been working on the release of our new dashboard. We are now at the last stretch. We made multiple rounds of QA to clear out bugs before they reach production.

I saw a tweet by @jessethanley speaking about Detail[.]dev from @danlovesproofs and decided to give it a go.

It's a tool that automatically scans your repo, runs multiple agents on it, and finds bugs or security vulnerabilities in your code.

Even with four QAs working full-time on the app, it still found some very nasty bugs.

What was more surprising was that the bugs that it found needed it to really understand how proxies work, how specifically anyIP proxy works, and it was still able to understand all of it.

I'd recommend that anyone give it a try.

[Jake Casto @0x15f]

I would definitely recommend using @detaildotdev. I think we started using the tool in December 2025 and these are the stats

[Benjamin Houy @BenjaminHouy]

AI should help you ship better code.

That's why I love @detaildotdev so much. You connect it to GitHub and it surfaces bugs you missed.

And the bugs it finds are genuine.

[Detail @detaildotdev]

@RohdeAli @danlovesproofs 🫡

[Detail @detaildotdev]

We ran a chess tournament for bugs.

The question we wanted to answer: are bugs from Detail "important"? How do they compare to what code review bots catch?

One of the most important ways we benchmark ourselves is that we want the bugs we generate to be significantly more important than the typical comment from a code review bot.

We took a week of findings from CR bots running on OpenClaw and vLLM, plus findings from Detail on the same week of changes. We put them through an LLM-as-judge tournament.

We fed the head-to-head results into a Bradley-Terry model to compute ELO ratings for bugs. Out comes a global ranking from most to least important.

Awesome exploration from @sachiniyergreen below, with methodology, charts, and a PostHog secret exfiltration vuln that four code review bots missed.

[Detail @detaildotdev]

Post here: https://t.co/CSd63bJifr

[˗ˏˋ Jesse Hanley ˎˊ˗ @jessethanley]

everyone should install @detaildotdev today it basically runs a cron to hack you every month (and hack all your recent commits). strong recommend.

[˗ˏˋ Jesse Hanley ˎˊ˗ @jessethanley]

Do this today:
Sign up to Detail[.]dev.
Connect it to Slack.
Run an audit.
It'll post vulns to the Slack channel.
Tag @cursor_ai or @OpenAI in each ticket.
Close them out.

Good Friday fun (⁠๑⁠•⁠﹏⁠•⁠)

[DevSuite @devsuiteco]

🚀 Just published: Detail @detaildotdev – Advanced AI scans your codebase to discover security vulnerabilities, data loss risks, and billing mistakes that traditional tools miss. High signal-to-noise ratio.

https://t.co/hTW0mQqmPt

[naaiyy @naaiyy_]

Wild:

- ran https://t.co/ExBukH9Ytk on my repo
- it flagged a bunch of bugs and turned them into GitHub issues
- asked claude to pick them up from Glass
- fixed everything ready to be merged in minutes

[Tomohiro Nozaki @nztm_tw]

https://t.co/r8Q3TsBzXC というコードの脆弱性やバグを見つけてくれるサービスを試したら、Claude CodeやCodexが見逃していた20個ぐらいの問題を検出してくれた。なかには巧妙なXSSの脆弱性の指摘もあって、このままリリースしていたら危なかった。初回は無料でチェックできるので、ぜひ使ってみて！

[pystar @pystar]

Use detail./dev to run security scans over your LLM implemented projects.

The number of security holes discoveries will shock the socks off you.

[KLX @realkieranlewis]

ok https://t.co/1legxLQevJ is amazing. ran for like 7 hours and found 15 legit bugs codex, claude & gemini all missed

[Christian Vestergaard @CVestergaard_]

@conductor_build + @detaildotdev. Cooking.

[Brian Lovin @brian_lovin]

Pretty cool:

- tried https://t.co/1PWJL8RvgB
- pointed it at Shiori repo
- found some bugs (and a few false positives)
- converted them all to github issues
- pointed @conductor_build at all the issues
- all bugs fixed/patched in minutes in parallel worktrees

[Dan @pizzaboy]

The HUD of Eve Frontier is a vibe, very @detaildotdev pilled

[Detail @detaildotdev]

🪲🔫🚀