# ai code review AI code review uses artificial intelligence to automate the evaluation of source code for quality, standards, bugs, and security issues. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## A Multi-Agent AI System for Reviewing Code Before Pull Requests DevFeed: [A Multi-Agent AI System for Reviewing Code Before Pull Requests]() Original publisher: [Read original article]() Author: Fran Soto Published: 2026-07-26T07:01:38Z Content type: opinion Language: en Sources: [Strategize Your Career]() Topics: [ai code review](), [Code review](), [Artificial Intelligence](), [Pull Request]() Tags: [ai-code-review](), [code-review](), [multi-agent](), [pull-request]() ### AI overview The author describes a multi-agent AI code review system that finds, verifies, and ranks issues before a pull request is opened. ### Source excerpt My multi-agent AI code review system finds, verifies, and ranks issues before I open the pull request. ## The growing code review workload and emerging AI-assisted approaches DevFeed: [The growing code review workload and emerging AI-assisted approaches]() Original publisher: [Read original article]() Author: Ivan Klaric Published: 2026-07-23T16:55:29Z Content type: article Language: en Sources: [The Pragmatic Engineer]() Topics: [code reviews](), [ai code review](), [Software Engineering](), [Testing](), [Formal methods](), [GitHub]() Tags: [ai](), [ai-code-review](), [code-review](), [formal-methods](), [software](), [testing]() ### AI overview The article examines the growing code review workload as AI-generated code increases. It surveys dedicated AI review tools, review features in coding platforms, in-house systems, and verification approaches such as testing and formal methods, while noting that few solutions are proven. ### Source excerpt Top of mind for engineering leaders: what to do about the growing code review load, and how devs are starting to review code less thoroughly than before? Many questions, but few proven solutions. ## Neo code reviews: AI code review built for infrastructure DevFeed: [Neo code reviews: AI code review built for infrastructure]() Original publisher: [Read original article]() Author: Pulumi Neo Team Published: 2026-06-22T15:00:00Z Content type: release Language: en Sources: [Pulumi]() Topics: [pulumi-neo](), [ai code review](), [Infrastructure as code](), [pull-requests](), [GitHub]() Tags: [ai](), [ai-agents](), [ai-code-review](), [features](), [github](), [governance](), [infrastructure-as-code](), [logging](), [preview](), [product](), [pull-requests](), [pulumi-neo]() ### AI overview Pulumi introduces Neo code reviews in public preview. The feature analyzes GitHub pull requests alongside Pulumi Cloud infrastructure state, preview output, stack relationships, and dependencies to provide high-level and code-level feedback. It supports automatic or mention-triggered reviews, with governance controls including RBAC, guardrails, and audit logging. ### Source excerpt Today we're introducing Pulumi Neo code reviews, now in public preview. Neo code reviews analyze pull request changes in conjunction with what Pulumi Cloud knows about your running infrastructure, providing both high-level and code-level feedback. Normal code review agents can't reliably anticipate the impact an infrastructure-as-code change will have. This is because they don't have access to critical aspects of the IaC workflow: the potential impact the update will have, in this case the pulumi preview output; and the current state of the cloud infrastructure. Neo not only has access to both of those, but also to the entirety of your other cloud context, such as stack relationships and dependencies. Running reviews Neo can review every pull request automatically, or only when someone mentions @pulumi-neo. Either way, it skips draft pull requests and those opened by bots by default. A review is a comment, so it informs the person approving the merge and sits alongside the required checks and branch protection you already enforce. Neo code reviews run inside the same governance as every other Neo task, with the RBAC, guardrails, and audit logging your organization has set. Enable code reviews Neo code reviews are available on GitHub during public preview. They require Pulumi Neo to be enabled for your organization, the Pulumi GitHub App installed on the repositories you want reviewed, and a one-time grant from each organization user to access their GitHub account under Management > Version control. If Neo currently posts preview summaries on your pull requests, code reviews are already enabled, and they take the place of those summaries. Neo code reviews are free while in public preview. On July 1, 2026, they'll be generally available, and reviews will begin counting toward your organization's Neo token usage, at the same per-token rate as any other Neo task. The pricing page shows that rate and the monthly token allotment included with each plan. Give it a try Open ## CodeRabbit for AI-Assisted Code Reviews on GitHub, GitLab, and Bitbucket DevFeed: [CodeRabbit for AI-Assisted Code Reviews on GitHub, GitLab, and Bitbucket]() Original publisher: [Read original article]() Author: TheAnkurTyagi Published: 2025-07-25T07:23:06Z Content type: opinion Language: en Sources: [ByteSizedBets]() Topics: [ai code review](), [Code review](), [AI-assisted coding](), [GitHub](), [bitbucket](), [GitLab]() Tags: [ai](), [ai-code-review](), [ai-coding](), [automation](), [bitbucket](), [code-review](), [github](), [gitlab]() ### AI overview The article argues that AI code review tools can automate repetitive first-pass checks and reduce review delays while keeping human reviewers responsible for context, judgment, and final decisions. ### Source excerpt A hands-on look at how CodeRabbit automates the boring checks so you can ship faster without cutting corners.