Latest updates, insights, and engineering best practices from the kluster.ai team.
In our benchmarks, kluster.ai delivers reviews in a few seconds, up to 100x faster than other tools, while achieving accuracy comparable to the best of them. The difference is in the noise. kluster.ai has higher precision and far fewer false positives, so you spend more time fixing real issues and less time dismissing spurious alerts.
Our analysis shows that 30% of AI-generated code contains issues requiring fixes before production. We examined GPT-5 and Cursor's auto mode through real-world case studies, uncovering common problems like N+1 queries and code duplication—and how kluster.ai's automated review catches them early.
Most code review tools kick in when someone creates a pull request. But developers are now generating 10x more code thanks to AI assistants, making code review a massive bottleneck. Here's why real-time AI code review is the solution - and the challenges we've overcome to make it work.
Software development keeps evolving. We went from solo developers doing everything themselves to teams collaborating on code, and now AI is writing half our code. But there's a problem nobody's talking about: we're drowning in AI-generated code that still needs human review.
Discover security code reviews that blend automated checks with expert manual reviews to secure your code today.
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Streamline your code reviews with our definitive pull request checklist. Covers code quality, security, tests, and automation to help you merge faster.
Discover how automating code review can streamline your workflow, ensure consistency, and boost code quality across teams.
Discover how code review automation streamlines development, enhances code quality, and strengthens security. A practical guide to tools and implementation.
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Master the GitLab merge request. This guide covers the complete lifecycle, advanced workflows, CI/CD integration, and AI-powered code reviews.
A practical guide to better code review in GitLab. Learn to leverage merge requests, CI/CD automation, approval rules, and AI tools for superior code quality.
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A complete guide to software peer review. Learn best practices, tools, and proven strategies to improve code quality, team collaboration, and development speed.
Learn how to reduce tech debt with our practical guide. We cover measurement, prioritization, and cultural shifts to improve code quality and innovation.
A practical guide to the Sonar static code analyzer. Learn how it improves code quality, security, and developer workflow with real-world examples.
Discover how GitHub secret scanning works to protect your code. Learn to configure scanning, prevent leaks, and build a stronger DevSecOps culture.
Discover a practical approach to security code review. This guide covers automated tools, manual techniques, AI integration, and building a secure culture.
Boost your code quality with our ultimate code review checklist. Covers 10 key areas from security to performance to ensure production-ready code.
Discover 10 actionable CI/CD best practices for high-performing teams in 2025. Master security, automation, deployment, and AI-assisted workflows.
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Elevate your projects with our roundup of 10 essential software development best practices. Learn actionable tips for TDD, CI/CD, security, and more.
Explore how an AI code debugger transforms your workflow, outpaces traditional methods, and delivers faster, cleaner code. Learn how to get started.
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ai for code reveals practical tools, benefits, risks, and step-by-step integration tips to boost your software workflow and results.
Discover best practices for code review to boost quality, speed up delivery, and reduce bugs with practical tips and automation.
Discover how to detect and fix AI generated code issues before they impact security and quality. A practical guide for developers and engineering teams.
Discover the 12 best automated code review tools for 2025. Compare features, pricing, and integrations to boost your code quality and security.
