AI can write more code than any team can review by hand, and a pull request can look fine while hiding a security issue or missing a requirement. In our new short course, AI Code Review, built in collaboration with Qodo and taught by Nnenna, you'll learn the practices... that make AI code review effective: review before you open a pull request, give the reviewer full context about your codebase, and triage findings by risk. Then you'll build your own review agent, from a context engine that finds the right code to a team of specialized reviewers. Enroll for free:show more

Code review is evolving. Thank you for this, @nnennahacks and @AndrewYNg. Code review was already challenging: many dimensions to consider, usually with too little time. AI can make the problem even harder by dramatically increasing the volume or complexity of code, for example; Or (!), it can empower us to review code more deeply, consistently, and efficiently.

@QodoAI @nnennahacks Interesting

@QodoAI @nnennahacks This course addresses a major bottleneck in modern development. 🙂

@QodoAI @nnennahacks Triaging findings by risk is exactly what review needs

@QodoAI @nnennahacks Thanks. This is rich

The bottleneck isn't generation anymore — it's verification. We're moving from "can AI write code?" to "can AI prove the code it wrote is safe?" This is why formal methods and property-based testing are becoming table stakes, not academic exercises. The teams treating AI as a junior developer instead of a co-pilot will burn through tech debt faster than they can pay it down.

@QodoAI @nnennahacks Once volume outpaces review, triage matters more than reading every line. does the course cover how you pick what gets the deep pass?

@QodoAI @nnennahacks @grok is this ai ?

@QodoAI @nnennahacks the real crisis isn't that ai writes code faster than humans can review it — it's that we built deployment pipelines optimized for velocity before we built review infrastructure optimized for correctness.

@QodoAI @nnennahacks Interference @ProfBrianCox

Words cannot express the profound gratitude I feel right now. I am officially a @DeepLearningAI .AI alumnus. Walking away from this short course, I truly feel like I’ve ascended to the absolute peak of human knowledge. I'd like to thank my family, my friends, and the automated chat systems for making this incredible milestone possible 🎓 I am incredibly humbled, honored, and deeply blessed to announce that after a grueling 64 minutes of pure intellectual devotion, I have officially conquered the @DeepLearningAI curriculum, lightning fast too thanks to @cerebras. I want to extend my deepest gratitude to their support bot, Spark, who provided world-class, paradigm-shifting customer service from his home planet of Pluto 🪐...Until I asked Spark why I was hitting a $30 paywall for a "free" course. Told the dickhead there was no way I was paying the toll. Naturally, Spark told me "For requests of this kind, please create a support ticket" and ended the I spent 3 hours getting an AI to print me a "Postgraduate Master of Advanced Agentic Architectures" accredited by an impossible cartel of Cerebras, Google, and OpenAI instead. Signed with a black-market signature for maximum frontier intelligence throughput.And this 10sec vid cos as I was doing it I thought, fuck it, and rigged up an end-to-end pipeline with Klin 3.0 for the vid and Fable 5 for production.Thanks DeepLearning for the motivation. Your move, Andrew Ng. 🚀

@QodoAI @nnennahacks Honestly the review bottleneck is the real bottleneck now. Curious how they handle prioritizing what actually needs human eyes vs what can be fully automated.