BugRaptors - Software Testing Company

LLMs don’t just fail. They hallucinate. And most teams don’t catch it early enough. Here’s how to evaluate outputs and detect hallucinations before they become real problems: bugraptors.com/blog/llm-outpu… #AI #LLM

How is AI impacting your QA process today?

The software testing market is heading toward $112.5B by 2034. 📈 But the real shift is how quality is delivered. AI-generated code, faster releases, and growing regression cycles are breaking traditional QA. It’s not about scaling effort. It’s about smarter, adaptive testing.

AI writes code faster. Attackers exploit faster. Security can’t be an afterthought anymore. Build fast. Test smarter. Secure always. With BugRaptors. #CyberSecurity #DevSecOps

Still chasing test coverage? At Bugraptors, we focus on risk coverage. → AI-generated tests → Self-healing scripts → Predictive insights 40% faster testing. Stronger releases. More tests ≠ better QA.

@pmitu 90% psychology, 9% marketing… and the remaining 1% hoping nothing breaks in production 😄 Good thing strong QA exists.

Being a solo-founder is: - 1% coding - 9% marketing - 90% managing your own psychology

Still fixing broken test scripts? Self-healing automation = less maintenance, faster releases. In 2026, QA is about adaptability. Are your tests evolving? #QA #Automation #AI

Mobile apps move fast. Your testing should move faster. AI-powered automation is changing how teams ensure quality at scale—smarter, quicker, and more reliable. Discover how → bugraptors.com/blog/ai-automa…

Stop measuring QA by issues found. Metrics don’t equal impact. ❌ 500 tests executed ✅ Checkout failure prevented at peak QA = revenue protection + faster releases What did your QA prevent? 👉 bugraptors.com/contact-us

@Jeremybtc Incidents like this show how small gaps in release validation can lead to massive exposure. Strong QA is not just about testing features, it is about safeguarding what goes out.

Anthropic accidentally leaked their entire source code yesterday. What happened next is one of the most insane stories in tech history. > Anthropic pushed a software update for Claude Code at 4AM. > A debugging file was accidentally bundled inside it. > That file contained 512,000 lines of their proprietary source code. > A researcher named Chaofan Shou spotted it within minutes and posted the download link on X. > 21 million people have seen the thread. > The entire codebase was downloaded, copied and mirrored across GitHub before Anthropic's team had even woken up. > Anthropic pulled the package and started firing DMCA takedowns at every repo hosting it. > That's when a Korean developer named Sigrid Jin woke up at 4AM to his phone blowing up. > He is the most active Claude Code user in the world with the Wall Street Journal reporting he personally used 25 billion tokens last year. > His girlfriend was worried he'd get sued just for having the code on his machine. > So he did what any engineer would do. > He rewrote the entire thing in Python from scratch before sunrise. > Called it claw-code and Pushed it to GitHub. > A Python rewrite is a new creative work. DMCA can't touch it. > The repo hit 30,000 stars faster than any repository in GitHub history. > He wasn't satisfied. He started rewriting it again in Rust. > It now has 49,000 stars and 56,000 forks. > Someone mirrored the original to a decentralised platform with one message, "will never be taken down." > The code is now permanent. Anthropic cannot get it back. Anthropic built a system called Undercover Mode specifically to stop Claude from leaking internal secrets. Then they leaked their own source code themselves. You cannot make this up.

@svpino Speed without review is where risk starts to scale. AI can accelerate development, but strong QA and security practices are what keep it reliable.

Claude Code's source code was leaked, and now everyone can see every single line of code (including every competitor). Everything is fine in the age of AI-writes-everything-and-we-don't-review-anything.

Scaling QA shouldn’t add complexity. Ship faster, test smarter, and maintain quality with flexible, automation-driven testing. Faster releases. Better coverage. Less overhead. Explore more: bugraptors.com #SoftwareTesting #TestAutomation #QA #CICD #DevOps

High traffic. Real-time transactions. No room for errors. Here’s the QA transformation 👇 Check full post: linkedin.com/feed/update/ur…

AI isn’t just speeding up testing — it’s making QA smarter. From test design to failure analysis, AI agents are transforming how teams build quality. See the full breakdown: linkedin.com/feed/update/ur… #AITesting #AIinQA #SoftwareTesting #QA #TestAutomation

QA is evolving as systems become more dynamic. #AgenticAI is bringing more intelligence to testing by improving test creation, execution, and failure insights. We help teams streamline #QA with #AI and deliver consistent quality. Get started: bugraptors.com/contact-us

AI in QA doesn’t replace testing. It makes it smarter. Less time fixing tests. More time preventing failures. That’s the shift— from reactive QA to intelligent quality. #QualityEngineering #AIinQA #SoftwareTesting

More automation ≠ better QA. Fragmentation is the real problem. 👉 MCP connects context across your QA ecosystem. That’s where real quality begins. Check out the full post: linkedin.com/feed/update/ur… #MCP #AIinQA #SoftwareTesting

“All tests passing” doesn’t mean your system is working. Most QA fails because it lacks context. RAG connects AI testing to real data, real rules, real systems. Agentic RAG takes it further—adaptive, intelligent QA. Test with context. Not assumptions. #QA #AIinQA #RAG

Not all cyberattacks aim to steal data—some aim to destroy it. The Stryker wiper malware attack is a reminder of why proactive cybersecurity strategies matter more than ever. Read the insights: bugraptors.com/blog/stryker-c… #CyberSecurity #CyberThreats #Malware

Modern software moves too fast for traditional QA. Testing at the end isn’t enough anymore. Continuous Quality Intelligence connects automation, observability