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DEV Community

MCP Tool Budget for AI SaaS: Stop Agents From Burning Tokens, Tools, and Trust Untrusted Code, Trusted Cluster Scaling Secure AI Agent Workspaces with GKE Agent Sandbox Learning, Experimenting - Concurrency in Go Building Dhrishti Part 2: Go-Lang Quirks Why MTP Batch Transfers Slow Down Between Files How We Cut Our AI Coding Bill by 65% Without Sacrificing Quality Claude vs Gemini Across 4 Security Domains: A Dead Heat — and the Hardening 63% of AI Code Skips I Benchmarked 4 Lightweight Transformers for Fault Detection. Here's What Survived. 🗡️ Tsundoku Slayer: An Agent That Decides What Not To Read Animated Icons for Web Apps — The Complete 2025 Guide How to Use Lottie Animations in React (2025 Guide) Azure API Management - Deploy gRPC API on Azure API management using self hosted gateway I Built pretext-pdf: Serverless PDFs Without Chromium Lottie JSON vs .lottie Format — What's the Difference and Which Should You Use? SVG Icon Systems in 2025 — Everything You Need to Know My Trading Bot Tried to Execute the Same Trade Twice. That Became SafeAgent. Free Loading Animations for Web Apps — Lottie, GIF, and SVG Spinners (2025) How to Add Lottie Animations to Your Website (Free JSON Files Included) Idempotency Keys: The One API Pattern That Prevents Duplicate Payments (and Worse) CONFIGURING SEMANTIC MODEL IN POWER BI Surviving Global Vendor Outages: Federated Cellular Architecture with EKS, AKS, and Istio I Turned My Cursor + Claude Code Setup Into 12 Reusable Files I Built a Cognitive Threat Hunter on Hermes Agent — It Analyzed the Session Where I Built It and Found Three Blind Spots Making AI-Generated Code Fail Gracefully How to Convert Lottie JSON to GIF (Free, Browser-Based, No Signup) Observability 2.0: Tracing AI "Thought Chains" with OpenTelemetry Best Free Lottie Animation Tools in 2025 (No Signup, No Paywall) What Is a Function in Scala Three ways to gate an MCP server: OAuth, L402, and proof-of-work You don't know kubectl — you know how to Google kubectl. The first-principles fix. 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I Built a Vision AI That Blocks Blockchain Attacks Invisible to Text-Based Systems — From Ouagadougou, Burkina Faso How to test your code effectively: a practical testing tutorial How does VuReact compile Vue's KeepAlive component to React? 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I Found 54 Reliability Issues in My 14-Agent AI System — Here's What Broke I Built 24 Free Browser Tools in 6 Weeks — Here's What I'd Do Differently Octorato: an open-source AI agent OS with built-in per-client FinOps RAG Explained for Beginners: How AI Assistants Stop Making Things Up Curing LLM Hallucinations: Building a Production-Grade Medical RAG with PubMed and Hybrid Search I don't want to write HTML or fight global CSS, so I built a TypeScript DSL FSx for ONTAP Audit Logs with Data Residency in your region with Sumo Logic Someone contributed 3,324 lines to our open K-12 AI lesson library — a 6-unit series asking students to interrogate AI, not just use it My website has two audiences now. I only built for one of them. AI-Powered Root Cause: Correlating File Access with APM via Dynatrace Opus 4.8 ships Dynamic Workflows — hundreds of parallel subagents per session. Read this before you wire it into prod. 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Announcing My New Book: Web Automation with Playwright and Python using AI and MCP
Kailash Pathak · 2026-05-31 · via DEV Community

I'm excited to share that my second book, "Web Automation with Playwright and Python using AI and MCP", is now available on Amazon worldwide.

📖 Available on Amazon:
https://www.amazon.in/dp/9378543170

Over the last few years, I've had the opportunity to work extensively with Playwright, Python, and modern test automation frameworks. During this journey, one thing became clear: automation is evolving rapidly. We are moving beyond traditional script-based testing into a world where AI-powered agents can assist with planning, generating, executing, and even healing automated tests.
This book was written to help QA engineers, SDETs, developers, and automation enthusiasts understand and adopt these modern testing practices.

What You'll Learn
The book covers practical, real-world examples of:
End-to-End Test Automation with Playwright and Python
API Testing
Visual Testing
Accessibility Testing
Page Object Model (POM) Design Pattern
Test Framework Architecture and Best Practices
AI-Powered Test Automation
Playwright MCP (Model Context Protocol)
Intelligent AI Agents for Automation Workflows
In addition to the fundamentals, the book explores how AI and MCP can transform automation from a collection of scripts into intelligent workflows that understand intent, adapt to changes, and assist testers throughout the automation lifecycle.

Why I Wrote This Book
As automation engineers, we often spend more time maintaining tests than creating them. UI changes, flaky locators, and frequent application updates can quickly turn a stable suite into a maintenance burden.
With the emergence of AI-powered tooling and Playwright MCP, we now have an opportunity to rethink how automation is built and maintained. My goal was to create a practical guide that bridges traditional automation techniques with the next generation of AI-assisted testing.

A Thank You to the Testing Community
This achievement would not have been possible without the support of the testing community. Every discussion, conference session, blog post, meetup, and community interaction has contributed to my learning journey.
I would also like to extend my sincere thanks to 3Pillar for fostering a culture of continuous learning, innovation, and knowledge sharing.

Available Now
If you're interested in Playwright, Python, AI-powered testing, or the future of automation engineering, I hope this book will be a valuable resource for your learning journey.
📖 Available on Amazon:
https://www.amazon.in/dp/9378543170

Thank you for your continued support. I look forward to hearing your feedback and learning from your experiences with the book.

Playwright #Python #TestAutomation #QualityEngineering #AI #MCP #SoftwareTesting #SDET #AutomationTesting #AgenticAI