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Today, I'm excited to launch Entelligence AI DeepReviews, the next generation AI-powered code reviews. Vibe coded PRs are not production ready often creating more subtle bugs throughout the codebase than before. Entelligence fixes this by understanding the entire codebase and flags bugs, regressions, and breakages across files before you...

96,309 Aufrufe • vor 1 Jahr •via X (Twitter)

12 Kommentare

Profilbild von Csaba Kissi
Csaba Kissivor 1 Jahr

@EntelligenceAI This can save a ton of time for teams.

Profilbild von The Crypto Digest
The Crypto Digestvor 1 Jahr

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Profilbild von Abhay
Abhayvor 1 Jahr

@EntelligenceAI Insane launch 🚀

Profilbild von Aiswarya Sankar
Aiswarya Sankarvor 1 Jahr

@EntelligenceAI thanks @abhaykondi !

Profilbild von AshutoshShrivastava
AshutoshShrivastavavor 1 Jahr

@EntelligenceAI Congrats on the launch Aiswarya . This will be really helpful for vibe coders.

Profilbild von Apoorv | Plxity
Apoorv | Plxityvor 1 Jahr

@EntelligenceAI congratulations on the launch 🚀

Profilbild von Nithin Bose
Nithin Bosevor 1 Jahr

@EntelligenceAI DeepReviews balances Vibecoding. Such a vital element to dev lifecycles

Profilbild von Christopher Settles
Christopher Settlesvor 1 Jahr

@EntelligenceAI Super helpful for software teams to be able to check over the details, even if OpenAI works out of the box

Profilbild von Aiswarya Sankar
Aiswarya Sankarvor 1 Jahr

@EntelligenceAI Agreed! Vibe coded PRs often have way more errors than eng written PRs

Profilbild von Ghandeepan M
Ghandeepan Mvor 1 Jahr

@EntelligenceAI Congrats on the Launch and many more to come ✌️

Profilbild von sabir hussain
sabir hussainvor 1 Jahr

@EntelligenceAI This is the best for developers and developers must see this

Profilbild von Aiswarya Sankar
Aiswarya Sankarvor 1 Jahr

@EntelligenceAI thanks @sabir_huss50540 !

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What they don't tell you about vibe coding: • Moltbook exposed 1.5M auth tokens. The owner hadn't written a single line of code. • Tea App leaked 72,000 government IDs. The database was just open, no sophisticated hack needed. • A researcher took control of a journalist's computer through her own vibe-coded game, without a single click. The code ran fine in all three cases, tests passed, reviews looked clean, and nothing raised a flag. That's the problem nobody is talking about. Teams are shipping faster than ever. AI writes the code. CI catches build failures. Tests catch regressions. Observability catches outages. But nobody is asking the one question that actually matters: What can an attacker do with this, right now? Because the bottleneck is no longer writing code. It's understanding what that code actually exposes once it's live. PR reviews miss auth edge cases. Unit tests don't probe broken access control. Staging environments don't simulate adversarial behavior. And business logic flaws look completely fine until someone decides to break them on purpose. Strix is an open-source tool that fills this gap. It reviews your running app the way an attacker would: - Crawls the app and maps every exposed route and flow - Probes abuse paths dynamically, not just at build time - Returns findings with proof-of-concepts and suggested fixes Strix was benchmarked against 200 real companies and open-source repos, where it found 600+ verified vulnerabilities including assigned CVEs. It's designed to fit into how modern teams already work. Run it before a release, after major changes, or continuously as the app evolves. If your team is shipping AI-generated code and you don't currently have a way to answer "what does this actually expose", it's worth looking at. GitHub link in the next tweet.

Akshay 🚀

52,399 Aufrufe • vor 5 Monaten