Write something
Pinned
May 3 •
Start Here. AI Coding Agents: 1-on-1 Live Workshop
If you are a Software, DevOps, or QA Automation Engineer, you can see and feel how the work around you is changing. AI in 3 years went from being a "toy" to being a real tool with real workflows and huge impact on the way we work. The engineering teams that use AI coding agents can ship in days what used to take two weeks. Companies know that. That is why knowledge of how to use AI coding agents is a mandatory skill now for the interviews and daily work. This is a problem for everyone in the engineering field. You did not cause it, but you have to solve it. You stay slower than peers who already use agents. You show up weaker in interviews that now test AI skill. In a market that laid off 170,543 tech workers in 2026 alone (https://www.trueup.io/layoffs), companies are consolidating around people who multiply themselves with AI. But figuring this out alone is hard. New tools, updates, changes in the approaches happen every few weeks... For example a few months ago MCP was the hot topic, now it's slowly going away and custom CLI tools are replacing it. This is just one example but there are many more like this. That is what makes learning AI agents hard. ──────────────────────── 🟢 There is a solution. You have to do the same thing that you did back in the day when you were starting out. Learn the fundamental principles and workflows that are going to be the base for all your AI coding agents skills. ↳ You don't go and "learn" best programming practices without knowing how to program in the first place. ↳ You don't learn Terraform before knowing what cloud infrastructure is. ↳ You don't learn testing frameworks if you don't know how to write a single line of code. ──────────────────────── 🟢 Same with the agents. Foundation must come first. That is why I built this 1-on-1 workshop, so you: ↳ Get the skills and experience to use AI coding agents and not fall behind your peers who already use them.
13
0
1d •
Looking For AI and Full-Stack Projects
Hey everyone! 👋 I'm Takeichi, an AI & Full-Stack Engineer based in Japan. I've spent the past 10+ years building production software, with the last several years focused on AI systems and automation. Most of my work has been around: - 🤖 AI Agents & Agentic Workflows - 🧠 LLM Applications & RAG Systems - ⚡ Workflow Automation - 🐍 Python (FastAPI, Flask), TypeScript/Node.js - ⚛️ React & Next.js - 🔗 API integrations and backend architecture - 👁️ Computer Vision & OCR I've built AI research agents, document intelligence platforms, multi-agent workflows, AI voice systems, and automation tools that integrate with third-party services and enterprise systems. I'm here to: - Learn from other builders - Share ideas and technical knowledge - Exchange AI automation workflows - Connect with people building real-world AI products Looking forward to meeting everyone! Feel free to say hi or reach out if you're working on AI agents, automation, or LLM-powered products. 🚀 Portfolio: https://contra.com/takeichi_inoue_65rexfis/about Email: [email protected] Telegram: https://t.me/HustorAI WhatsApp: +81 80-9299-0062
0
0
12d •
Looking for new projects
Hey everyone! 👋 I'm Takeichi, an AI & Full-Stack Engineer based in Japan. I've spent the past 10+ years building production software, with the last several years focused on AI systems and automation. Most of my work has been around: - 🤖 AI Agents & Agentic Workflows - 🧠 LLM Applications & RAG Systems - ⚡ Workflow Automation - 🐍 Python (FastAPI, Flask), TypeScript/Node.js - ⚛️ React & Next.js - 🔗 API integrations and backend architecture - 👁️ Computer Vision & OCR I've built AI research agents, document intelligence platforms, multi-agent workflows, AI voice systems, and automation tools that integrate with third-party services and enterprise systems. I'm here to: - Learn from other builders - Share ideas and technical knowledge - Exchange AI automation workflows - Connect with people building real-world AI products Looking forward to meeting everyone! Feel free to say hi or reach out if you're working on AI agents, automation, or LLM-powered products. 🚀 Portfolio: https://contra.com/takeichi_inoue_65rexfis/about Email: [email protected] Telegram: https://t.me/HustorAI WhatsApp: +81 80-9299-0062
1
0
Jun 22 •
Playwright CLI: Build Autonomous Exploration Agent
──────────────────────────────────────── If you are building a SaaS product or any reasonably large web application, automated tests are essential. They protect the paths you have already defined and catch regressions on known flows. The limitation is everything else. Complex products always contain edge cases, unusual sequences, and broken states that no one planned for. Exploratory testing exists to surface those unknowns. Traditionally this work had to stay with a person. The value came from human curiosity and the ability to notice something unexpected. That approach is slow and expensive. Playwright CLI combined with an AI coding agent changes the economics. You can now run structured exploration for hours while you continue working on other tasks. ──────────────────────────────────────── ▶ What the Agent Does The agent follows a mission you define: • Opens the application • Moves through the areas you specify • Observes the current state of the page • Records what it finds • Stops only when it hits a hard blocker You review the findings afterward and decide what deserves attention. ──────────────────────────────────────── ▶ Setup: One Rules File Create a file called `steps.md`. This becomes the mission brief. It should contain: • How to use Playwright CLI • Start URL and environment • Scope: which areas or flows to explore and which to skip • Credentials or test data (or where to find them) • Rules for what to report and what to ignore • Output location for findings (`report.md`) Example rules: What to report: • Functional problems (buttons that do nothing, wrong redirects, forms that fail to submit) • Broken UI that blocks use • Incorrect or missing copy on critical paths • JavaScript errors that prevent actions • Failed network requests on important APIs • Accessibility blockers • Dead ends (404s, infinite spinners, errors with no recovery) What to ignore: • Third-party analytics or tracking failures
6
0
Jun 7 •
Playwright CLI: For Scrapping and UI Testing
──────────────────────────────────────── AI coding agents can use Playwright CLI to control a real browser. This opens up useful workflows beyond simple code generation. Two practical cases stand out: exploring UI flows for ui test generation, and extracting content from sites that block basic bots and AI crawlers. ──────────────────────────────────────── ► Why a Real Browser Might be Needed 1. Some websites actively detect and block automated access. Simple HTTP requests or headless scrapers get stopped. 2. UI testing An agent that drives a real browser through Playwright CLI can interact with the page more like a person would. It can open pages, click, fill forms, wait for content, and read what actually appears on screen. This makes it useful for both testing work and for scraping or data collection on protected sites. ──────────────────────────────────────── ► A Practical Workflow ↳ Step 1. Explore with Playwright CLI Give the agent a clear task. Include: • Starting URL • What the agent should do on the page • What information or outcome matters • Any credentials or data it should use The agent then uses Playwright CLI to walk through the flow: • Open the page • Take snapshots of the current state • Click, fill, and navigate as needed • Capture relevant details along the way The agent records what it finds in a structured document. ↳ Step 2. Review the exploration document • Pages visited and the sequence of actions • Elements and locators that worked • Important text, fields, or state changes • Anything that blocked progress (login walls, captchas, missing data, anti-bot measures) ↳ Step 3. Do something with that extracted knowledge - Extract the scrapped data - Generate UI tests or workflows
1-23 of 23
skool.com/qa-automation-career-hub
From QA Automation to AI-Powered SDET. Join AI & QA Accelerator.
Leaderboard (30-day)
1
+1
Powered by