
SimpleBackups
codebeat
Ottomatik
CodeRabbit
LaunchBoard.dev
DeepSource
UNPWNED
Launch-readiness audits for AI-built apps.

OpenGrok
GitHub
Etsy Hound
Atlassian Fisheye
Tabnine
GitHub Copilot
Cody AI
Sourcegraph is a free, self-hosted code search and intelligence server that helps developers find, review, understand, and debug code. Use it with any Git code host for teams from 1 to 10,000+.
Which is more popular?
Based on our record, Sourcegraph seems to be more popular. It has been mentioned 37 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | axonbuild.com | sourcegraph.com |
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What each product offers, as listed by its team.


Possible disadvantages
An editorial look at what each product does well and who it suits.


No analysis of AxonBuild yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
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Code review with IDE powers: Sourcegraph Chrome extension
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How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing AxonBuild and Sourcegraph.
AxonBuild's answer
AxonBuild publishes its own data: 26 real audits of AI-built apps, with the failure rates and score distribution public. Every audit checks the same 12 launch-readiness areas, and every finding is confirmed against the actual code and pinned to a file and line, so there is nothing generic in the report.
AxonBuild's answer
Most alternatives are automated scanners. Scanners are good at telling you a protection exists; they cannot tell you whether it holds. In 3 of 21 audits, scanners flagged 33 to 44 known CVEs, and none were reachable from the app. AxonBuild verifies what actually breaks, ranks it by consequence, and tells you what to ignore.
AxonBuild's answer
Founders and small teams who built an app with AI tools like Lovable, Bolt, Cursor, or v0, and are about to take real users, real data, or real payments. Usually non-security people who need to know what would break before customers find it.
AxonBuild's answer
AxonBuild started with auditing apps built with AI coding tools and finding the same failures over and over: policies that pass a publish check but do not hold, backups nobody ever restored, errors recorded nowhere. After 26 audits, zero had come out launch-ready, so the findings became a scored methodology and the data became public.
Share your experience with using AxonBuild and Sourcegraph. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


Tracking AxonBuild since Jul 2026.
The setup is one prompt long. You tell the agent to install Sourcegraph for semantic code search or xerj.org for patch and impact analysis. From that point it runs unattended:. - Source: dev.to / about 2 months ago
Sourcegraph | Remote | Full-Time | SWE, Tech Lead, Agent Engineer, Product Manager, Product Marketing Manager | https://sourcegraph.com Sourcegraph is building the context layer for AI-powered software development. As AI accelerates code... - Source: Hacker News / 3 months ago
Sourcegraph | San Francisco | Full-Time | SWE, Design Engineer, Forward Deployed Eng, Head of Design, Solutions Eng, Dev Advocate (all roles write code) | https://sourcegraph.com Sourcegraph is hiring SWEs and FDEs for Amp... - Source: Hacker News / about 1 year ago
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