Stably AI

Introducing Orca Browser Use 🐋 Have your coding agents directly control the browser inside Orca IDE. Perfect for testing and browser automation ⚡ 👀 Why we built this At Stably AI, we’re a testing company—we know how critical browser testing is to shipping great products. Orca IDE already supports worktrees, terminal-based agent harnesses, and markdown workflows—and browser automation is a key piece to complete that loop. 🛠️ How to use it Download Orca IDE, go to Settings to configure your browser + Orca CLI, then ask your agent to automate workflows directly in the browser. Get Orca IDE: https://lnkd.in/gJms7ycv It’s open source and actively maintained by the team at Stably

We passed $16M ARR with just 10 people. That's $1.6M revenue per employee. Most teams think this is impossible, but we cracked the code on building a Lean AI Company. Every function runs on a purpose-built AI workflow: → 5 engineers support millions of users → 1 person manages hundreds of SEM campaigns → 1 customer support handles hundreds of emails daily The secret lies in our ruthless AI tool stack. Now, I originally built this playbook for internal use only. But after seeing Sam Altman's prediction come closer to reality (10-person companies with billion-dollar valuations), I realized this blueprint could help thousands of founders. So I'm sharing our complete AI tool stack for free for the next 48 hours. This is our actual playbook: → The exact AI tools we use in each function → Why we chose them over alternatives → Implementation workflows we actually use This is an open-book format. You can copy everything straight into your operations. No gatekeeping. I am sharing everything we used to build a $16M company with 10 employees. Want the full stack? →𝐋𝐢𝐤𝐞 𝐭𝐡𝐢𝐬 𝐩𝐨𝐬𝐭 →𝐂𝐨𝐦𝐦𝐞𝐧𝐭 "𝐒𝐓𝐀𝐂𝐊" →𝐅𝐨𝐥𝐥𝐨𝐰 𝐦𝐞 𝐬𝐨 𝐈 𝐜𝐚𝐧 𝐃𝐌 𝐲𝐨𝐮 I'll send you the link ASAP through DM. UPDATE: The response has been phenomenal. I'm genuinely grateful and humbled by this. So many people expressed interest in getting the stack that I couldn't DM everyone individually. So, I'm sharing our complete AI stack in my new post - https://lnkd.in/eCbbCshY. As a bonus and to thank everyone who supported this post by engaging with it, I'm making our Team plan offer public. Use code TEAMPLANJUNE for the first free month of OpenArt's Team plan. No limits on the number of redemptions. Can't wait to see what your teams build with this.

After testing 34 AI developer tools, I discovered something shocking: every part of the software development workflow is getting disrupted. Most developers are still using stone-age tools while AI-powered alternatives are already delivering huge efficiency gains. Here's the modern developer stack: 🔧 IDE: Cursor AI / Windsurf AI → Write code faster than ever ⚡ Terminal: Warp → Command line that actually understands you 🎨 UI Creation: Lovable → From idea to interface in minutes 👀 Code Review: CodeRabbit AI → Catches bugs human reviewers miss 🔒 Testing & Security: Snyk / Stably AI → Continuous security vulnerabilities detection, end-to-end testing 🆘 External Support: Kapa AI / Dosu AI → Instant answers to any codebase question on any channel 📊 SRE: Cleric → Self-healing infrastructure 🧮 Scientific Computing: Marimo → Modern, interactive notebooks 👨💻 AI Interns: Cognition Labs → Junior developers that never sleep The developers adapting to this AI-first workflow are shipping products faster than their peers. What's the one AI tool that's transformed your workflow?

This gotta by the funniest usage report we've got. Our user shared this screen with us. When our AI found a bug in their app, not only did it summarize the error message, it also made a philosophical analogy.

How good can an AI QA agent really get? Last week we ran the exact same 100‑test suite through four models. Only one spotted the font bug you see in the image. Here’s what happened: ▫️ Stably AI DeepThink – 100 % accurate → 0 result to double‑check ▫️ Claude‑4 / Gemini / o4-mini – ≈ 80% accurate → 20 results you can’t trust The gap isn’t luck—it’s purpose‑built fine‑tuning. Stably DeepThink is trained on real QA edge‑cases until it learns every quirk in complex UIs. Most “AI QA” tools? They spit out so many false results you’d be faster with testing by hand. If the agent still needs you to babysit every run, it’s not AI—it’s expensive noise. Trust results, not hype. Full benchmark in the comments. 👇