Testing & QA — Tech News

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A Meal Planner & Grocery Shopping Agent in Typescript with HazelJS

In this post, we'll build a practical AI-powered meal planning agent using HazelJS. This agent helps users create personalized meal plans, discover re…

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SkillOpt: Revolutionizing AI Agent Skills in 2026

After building 50+ AI systems, here is what we know about optimizing AI agent skills. SkillOpt is a groundbreaking open-source framework developed by …

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I gave your agent access to Firefox - meet Firefox CLI

Firefox CLI is my new project - a CLI interface that lets your agent control your real Firefox session. It's a full equivalent of Agent Browser with t…

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How to Scrape E-Commerce Sites for AI Agents Using Playwright and LLMs

TL;DR AI agents require structured JSON data (prices, specifications, availability), but modern e-commerce sites serve heavily obfuscated, JavaScript-…

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Build Your Own MCP Server from Scratch

Every AI agent ships with the same bottleneck: it can only reason over what it can reach. MCP servers dissolve that boundary. They expose tools, resou…

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멀티 에이전트(Multi-agent) AI 시스템 가이드 2026 — 싱글 에이전트와 차이·도입 사례·외주 비용

멀티 에이전트(Multi-agent) AI 시스템은 여러 AI 에이전트가 역할을 분담하고 서로 통신하면서 복잡한 업무를 자율적으로 처리하는 구조다. 한 에이전트가 처음부터 끝까지 처리하는 싱글 에이전트와 달리, 검색·분석·실행·검증을 각각 다른 에이전트가 병렬로 맡고 …

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Managing Proxies & Browser Fingerprinting for AI Pipelines

TL;DR To build reliable AI data extraction pipelines, you must align your IP reputation with realistic browser fingerprints. This means rotating IPs i…

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How to Monitor AI Agents in Production

TLDR Monitoring AI agents in production requires distributed tracing: a single user request fans out into 10 or more internal operations, and logs alo…

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Single vs Multi-Agent AI: A Decision Framework

Most teams are solving the wrong problem In 2026, the most common mistake I see ML engineers and technical founders make is not choosing the wrong mod…

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The Age of Accountable Agents: Building Trust in Your AI Automation

The Age of Accountable Agents: Building Trust in Your AI Automation\n\nThe air around AI feels different this "Long Hot A.I. Summer." Big tech is pour…

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We built a 4-model Council to certify AI agents — every decision is in git

TL;DR — AI agents now do real work, but there is no shared way to say what an agent is, what it is good at, and how that claim was checked . So we bui…

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Harness Engineering: The 'New Software' in the AI Era?

With the massive AI boom we are experiencing, I started writing an article about testing. In the midst of my research, I began studying Harness Engine…

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Fail-Open Pipelines Are Half the Answer: The Findings Tracker Is the Other Half

I. The 65% datum Real Python's recent audience research surveyed 278 Python developers about agentic coding workflows. 65% reported being stuck on a c…

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How I Made an Autonomous Kubernetes SRE Agent Observable with MLflow

AI infrastructure agents are exciting, but they are also difficult to trust. A Kubernetes debugging agent can generate a remediation plan, but if we c…

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Enterprise AI just shifted: Claude +128%, OpenAI -8%. What it means if you're building.

SaaStr published Q2 enterprise AI usage numbers this week. The shape: Claude: +128% Gemini: +48% OpenAI: -8% Grok: rounding error That is the cleanest…

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WebMCP Reality Check: Where the Spec Actually Stands

Last month our r/mcp post comparing MCP, REST, and WebMCP hit 18,000 views in 24 hours. Hundreds of devs asked the same question in the comments: when…

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No More Hallucinated Citations: A Domain-Specific RAG System with Ollama, ChromaDB and AI Agents

TL;DR: I built a full-stack knowledge pipeline around a corpus of 2,514 academic PDFs focused on urban art. The system combines ChromaDB vector search…

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Is Your Claude Code Safe From Base64? Inside 2026 AI Agent Attacks

Introduction Greetings from the island nation of Japan. Six months ago I wrote about befriending Base64, a piece I now read back with the soft embarra…

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