qckfx

Bug reproduction remains one of the biggest hurdles in software engineering. Traditional approaches like manual user logins, "fix-and-ask" strategies, or dedicated support teams often fall short—costly, time-consuming, and still prone to missing critical details. In our latest post, we explore these challenges, highlight the hidden dangers of ignoring difficult-to-reproduce bugs, and discuss how automated AI-driven debugging tools can dramatically streamline and improve the bug-fixing process.

AI-driven coding tools promise rapid bug fixes, but can they really deliver without first reproducing the problem? Understanding the true cause of bugs, creating effective regression tests, and validating AI-generated code all depend on accurate bug reproduction. Here's why this step remains critical—even in the era of advanced AI code generation.

Performance regressions can be some of the hardest bugs to track down, especially when they don’t trigger functional test failures. Instead of relying on guesswork, we wrote about how to automate regression detection using Playwright, Chrome DevTools Protocol (CDP), and git bisect. This approach systematically narrows down the commit responsible for performance degradation, making debugging more precise and efficient. If you’re dealing with unexplained slowdowns in your application, this method can save hours of manual investigation.

Managing bug backlogs is a universal challenge in software development. After working with teams from seed stage to enterprise, we've written up the most effective strategies we've seen: - The "zero bug" approach that's perfect for startups - How growing teams can nail the triage process - Enterprise-scale bug management that actually works - A look at new AI-powered automated fixing solutions We've seen these strategies transform chaotic backlogs into manageable systems. Curious to hear what's working for your team. https://lnkd.in/g4Q8c48E

AI that fixes your bugs while you get coffee (or take a nap) https://qckfx.com

???????? ???????? ?? ???????? ?????? ?????? ????????????? ?? Learn how to use git bisect to pinpoint the commit that introduced a bug and understand why having a backwards-compatible test is critical. In our latest post, we explore 5 real debugging scenarios where git bisect can help and explain how AI can help make new tests backwards compatible, even when interfaces change. Read the full post ??

Ever feel like your bug tracker is a never-ending horror show? In our latest post, we reveal how agile startups and mid-sized firms are turning bug chaos into a streamlined, quality-first process. From nimble "bug smash" sprints to leveraging AI for automated fixes, discover the real-world tactics that are keeping teams nimble and their code clean. Dive in for a fresh take on transforming bugs from a liability into a competitive edge.

How do you keep your bug backlogs in check? This post really resonated - fix it or delete it. It's like Marie Kondo but for bugs. If you wish you could fix more but in less time then qckfx might be a good fit ??

?? Look who's on the front page of HN today ?? Check out the blog post everyone's reading here: https://lnkd.in/dMQhiN7s

???????????????????? ?????????? ???? ?? ???????? ?? Regression testing is often dismissed as mere maintenance, but it’s a strategic powerhouse. Each test embodies hard-won lessons from past issues, forging a shield against repeating mistakes. This institutional knowledge becomes a competitive edge, enabling your team to innovate while others stumble. For growing teams, regression testing isn’t just about stability—it’s about momentum. Each test means one less issue to fix again, and broader coverage leads to faster, more confident deployments. By investing in regression testing, you transform past challenges into future velocity. Read more here:??