State of AI Code Review 2025: 1 in 7 PRs now involve AI agents

Here’s why—switching from your own work to review someone else’s costs 20-30% of your focus per switch. The coding tool market has grown more crowded in recent months as it’s proved to be a lucrative AI use case. Cursor competes with companies like OpenAI, Anthropic and Cognition, which acquired the AI coding startup Windsurf in July. The company said its in-house models generate more code than “almost” any other large language models in the world. “Who here has shipped a pull request that was completely written by Claude where they did not read the code at all? You can follow their progress in real time or review completed sessions later, with detailed logs showing what the agent did and why.

Graphite Agent (Best Overall Platform)

When it flags an issue, you can jump directly to the problematic code in your editor and apply the suggested fix with one click. The tight IDE integration makes the review-fix-verify cycle extremely fast. No YAML, no config files, no CI pipeline changes required to start. We explain what each category does, test the best tools in each, and give you a decision framework so you pick the one that fits your actual situation. If you don’t know the exact name of a setting you want to change, you can use AI to help find the relevant settings based on your search query. For example, you can search for “increase text size” to find the setting that controls the editor font size.

• The tool is particularly valuable for large, legacy codebases where understanding context is the hardest part of code review.
• While this is a limited benchmark, such a low score suggests the AI review feature is still early-stage.
• Voice AI pricing becomes expensive quickly – a 10-minute customer service call costs $0.50-$5.00 depending on the platform and complexity.
• Best overall AI code review tool for teams that need to catch real bugs before they merge.
• The AI maintains a sub-5% negative feedback rate, meaning developers trust its suggestions because they’re rarely wrong.
• That additional context allows the platform to identify issues that span multiple files or services.

Anthropic launches code review tool to check flood of AI-generated code

It has 366 stars, 72 forks, and is used by 120 repositories. The latest release (v2) was published in May 2024, meaning the tool has been without updates for nearly two years as of early 2026. CodeQL is positioned as a GitHub-native static analysis tool. CodeQL requires GitHub Advanced Security licensing to analyze private repositories at scale. Custom rule development requires dedicated engineering time for production deployment.

Will I be charged for all the developers in my organization?

Founded by tech visionaries John Furrier and Dave Vellante, SiliconANGLE Media has built a dynamic ecosystem of industry-leading digital media brands that reach 15+ million elite tech professionals. For example, an Index.dev client (Genemod) hired two remote senior developers who were immediately productive. Average PR size and defect counts rose in parallel with volume (studies show an average PR size up to +150% and a modest 9% rise in bug counts).

The tool excels at identifying edge cases, race conditions, null pointer exceptions, and security vulnerabilities. It’s particularly effective at reviewing AI-generated code, where subtle logic errors are more common than with human-written code. It maintains a low false-positive rate by focusing only on genuinely problematic code rather than style issues or minor optimizations. The tool is particularly valuable for large, legacy codebases where understanding context is the hardest part of code review. New team members benefit enormously from https://www.singulartists.com/get-catered-for-all-your-marine-needs/ Greptile’s ability to explain how different parts of the system interact. Senior engineers appreciate having an AI that can flag subtle architectural issues that simple diff-based analysis would miss.

• CodeRabbit reviewing Cursor-generated code catches things Cursor wouldn’t catch about its own output, the same way a second human reviewer catches things the first author missed.
• Cursor provides a complete AI-powered development environment for $20 monthly.
• A Nasdaq-listed HealthTech company used this model to onboard 25 HIPAA-cleared engineers in 58 days while running AI-assisted development tools from day one.
• No-code platforms cost x less than custom development while delivering 80% of the functionality most businesses need.
• AI isn’t eliminating developer jobs—it’s redefining them.
• We then applied the SPACE framework (Satisfaction, Performance, Activity, Communication, Efficiency) for developer-centric signals.

No GitHub Copilot license is required to use the feature. Governance frameworks for AI-assisted development should be codified at the organizational level, not left to individual developer judgment. Organizations should map this framework against their existing secure development lifecycle policies and identify gaps.

Generative AI Tools and Techniques

An underappreciated dimension of the problem is that developers using AI tools consistently overestimate the security quality of the output. The tools appear to generate a false sense of assurance that may suppress the critical review developers would otherwise apply. Codex is a broader AI coding agent that includes code review as one capability. Claude Code Review is purpose-built for deep multi-agent PR analysis. Codex is better for teams wanting one tool for everything (coding + review + testing). Claude is better for teams that want the deepest possible review quality and don’t mind paying per PR.

• GoGloby’s Performance Center tracks AI Contribution Ratio (ACR), pull request cycle time, build stability, and delivery velocity.
• In the meantime, we’re actively working with partners, including Google, Cognition, and xAI to bring more specialized agents into GitHub, VS Code, and Copilot CLI workflows.
• If TREX finds a bug, it becomes a comment on the PR.
• A Skill is a folder that contains one or more markdown files describing step-by-step procedures for a given task.
• The tool is tightly integrated with the Cursor ecosystem, which is a strength if your team already uses Cursor but less compelling if you don’t.

Run your software agents at scale

That loop, done consistently, produces better code than any individual tool. Snyk integrates directly into VS Code, the CLI, and CI pipelines. It scans your code for known vulnerabilities (OWASP Top 10, CVEs in your dependencies), and its AI layer explains each vulnerability in plain English with fix suggestions.