AI Code Review

AI Code Review is a one-hour DeepLearning.AI short course built in collaboration with Qodo and taught by Nnenna Ndukwe, structured as eight lessons of which four are code-along. The first half is practice rather than tooling: an overview of what AI code review is, followed by two lessons of best practices that argue for reviewing changes before you open a pull request, giving the reviewer full context about the repository instead of the diff alone, and triaging findings by risk so a wall of low-severity comments does not bury the security issue. The second half is a build. 'Why Context Matters' motivates the core problem that a diff-only reviewer cannot see the caller three files away; 'Building a Context Engine' implements retrieval over the codebase using embeddings and vector search; and 'Building Specialized Code Review Agents' splits the reviewer into role-specific agents rather than one general prompt. The stack is Python, and the course closes with a graded quiz and an optional glossary. It is free to audit, while the graded assignment and the certificate require a DeepLearning.AI Pro membership. Qodo, the partner, ships a commercial AI code-review product and publishes a free companion Academy on the same subject, so the practices come from a deployed product rather than a demo.

Topic

Agentic

Level

Intermediate

Format

Course

Cost

Freemium

Duration

~1 hour (8 lessons, 1h04m), self-paced

Provider

DeepLearning.AI

Hands-on

Yes — code/exercises

Certificate

Available

• ✓Review AI-generated changes before opening a pull request, not after
• ✓Give a reviewer agent repository-wide context instead of only the raw diff
• ✓Build a context engine over a codebase using embeddings and vector search
• ✓Split one general reviewer prompt into specialized role-specific review agents
• ✓Triage review findings by risk so severe issues surface above the noise
• ✓Recognize the failure patterns AI-generated code repeats: logic errors, duplication, breaking changes
• ✓Decide which review checks belong pre-pull-request versus later in CI

• •Built with Qodo, which ships a production AI code-review product, so the practices come from a real deployment rather than a toy example
• •Four of the eight lessons are code-along and end with a working context-aware review agent, not slides
• •Fills the gap most agent courses skip — reviewing AI-written code is the bottleneck once generation is cheap
• •One hour and four minutes end to end, completable in a sitting and free to audit
• •Qodo publishes a free, no-signup companion Academy covering AI code-review benchmarks and ROI for the same topic

This page was written from 2 sources, 1 on domains other than deeplearning.ai.

1. 1.deeplearning.ai — ai code reviewvendor
2. 2.qodo.ai — academy