Latest updates, insights, and engineering best practices from the kluster.ai team.
Discover how AI powered IDEs are revolutionizing software development. This guide covers key features, benefits, risks, and best practices for your workflow.
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.
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.
