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Wanna win @ChatGPTapp Pro, @github Copilot, @cursor_ai, @windsurf_ai, @perplexity_ai & more for free? 🚀 We just launched Hopx - it's a tool that auto-generates @Docker & Compose configs from any repo in minutes. Paste your repo → Get Dockerized in minutes Share → Climb the

Who evaluates the AI? Human review is slow. BLEU and ROUGE are limited. There’s a better way: LLM-as-a-Judge. Let’s break it down: 👇

🚫 Feature branches are not enough. ✅ Especially when AI is writing your code. Tools like Copilot and Cursor let devs ship faster than ever. But where does all that code actually get tested? If your team still relies on feature branches + shared staging: ⚠️ QA is blocked ⚠️

🚨 QA is now the bottleneck. Not dev. With @Copilot, @Cursor, and @Windsurf, devs write 3x more code. But what’s the point of shipping faster if you’re just shipping bugs faster too? Traditional staging can’t keep up. → QA is blocked. → Bugs are caught days later. → Devs are

🛑 Shared staging is the new bottleneck. AI helps your devs ship faster. But your infrastructure didn’t get the memo. If you’re still testing features in a shared staging environment, here’s what’s really happening: ⚠️ One PR breaks staging for everyone 🕒 QA waits days to

🤖 Your AI code assistant just broke your CI pipeline. Again. The code looked great. ✅ It compiled ✅ It passed tests ✅ CI said it was clean ❌ Then production said otherwise Here’s the truth nobody talks about: AI-generated code passes the checks… but fails the reality

Your developers aren’t testing enough. And it’s not their fault. AI is writing more code than ever. But bugs still reach production. You fix them on Friday night. Sound familiar? The truth is: Developers want to test - they just can’t do it easily. ❌ Local setups are a mess

CI/CD vs. EaaS : Why pick one when you can combine both? CI/CD has become the standard for build-test-deploy automation. But let’s be real — it was never built for parallel dev at scale. Here’s the new reality: 10+ engineers working on different features Shared staging =

What happens when no engineers are needed to write code? Not because software is gone. But because the code is written by AI. Architected by AI. Deployed by AI. Evolved by AI. We're not there yet — but we’re months, not years, away. Tools like @Cursor, @Windsurf, and

What Do DevOps Professionals Really Mean When They Talk About Kubernetes (K8s)? Kubernetes is everywhere in DevOps conversations, but what does it actually bring to the table? For many, K8s is more than just container orchestration – it’s about scalability, reliability, and

AI writes your code. But who tests it? CTOs love the speed. Devs love the freedom. But here’s the problem: The way we write code has changed — the way we test and ship hasn’t. You can’t keep up with GenAI using: ❌ One shared staging environment ❌ Manual QA cycles ❌ DevOps

Hello devs are you up for the Bunnyhunt https://t.co/FHsTB7KjqX @bunnyshell_eaas

HOLY SHIT, @bunnyshell_eaas has WON Startups of the Year in Palo Alto, CA 🎉🎉🎉 From launching ephemeral environments with a click... To making software delivery 100x faster... To winning in one of the most competitive tech hubs in the world. We’re just getting started. 💪

https://t.co/zBmHu4xAcU @bunnyshell_eaas engineering challenge is ON!

https://t.co/RRlPWU5Hcj @bunnyshell_eaas

🚨 It’s official: BunnyHunt is ON. The biggest engineering competition we’ve ever launched. 💰 $1,000,000 prize for the best GenAI app built and deployed with Bunnyshell. One million dollars to turn your idea into a company. 🐣 This Easter, follow the white rabbit. Build.

🐣 This Easter, follow the white rabbit @bunnyshell_eaas . We just launched the wildest engineering competition ever: #BunnyHunt - and it’s the biggest thing we’ve ever done. 💸 $1,000,000 up for grabs. Yes. One. Million. Dollars. 🧵👇