#software testing career
125 related articles
·2 min
Career Switch to AI Software Testing from Scratch: A Complete 3-Month Learning Roadmap
A complete 3-month learning roadmap for switching to AI software testing from scratch, covering fundamentals, Python automation, AI-powered testing, and career guidance.
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·4 min
From Backend to AI Agent Engineer: A Practical Path That Survived Big Tech P7 Interviews
How can a backend engineer with 6 years of experience transition to AI Agent engineering and pass big tech P7 interviews? A practical guide covering engineering stability, semantic caching, Anthropic's ecosystem, and MCP protocol.
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·3 min
Getting Started with AI/ML from Scratch: Comparing Three Popular Courses & A Complete Guide to Choosing the Right One
Comparing three popular Udemy AI/ML courses — Machine Learning A-Z, ZTM Bootcamp & 365 Data Science — with a complete learning path for aspiring AI/ML engineers.
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·3 min
A 4-Year Engineering Study Plan: The Path from Zero to Landing Your First Offer
A systematic 4-year engineering study plan covering foundation building, specialization, interview prep, and job hunting to help students build an actionable technical growth path.
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·3 min
Open Executive: How Developers Fight Back by Replacing CEOs with Open-Source AI
Laid-off developers built Open Executive, an open-source project to replace CEOs with AI — a satirical but sharp critique of power asymmetry in AI-driven layoffs.
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·3 min
Do AI/ML Job Seekers Really Need to Grind LeetCode? The True Weight of Algorithms vs. AI Skills
Should AI/ML engineers grind LeetCode? This article analyzes DSA's real weight across roles and offers phased prep strategies to pass algorithm interviews efficiently.
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·3 min
MLOps Hands-On Project: A Complete End-to-End Breakdown of Building a Laundry Care Recognition System
A detailed walkthrough of building an end-to-end MLOps laundry care recognition system, covering automated data collection, model retraining, Docker containerization, AWS deployment, and Grafana+Prometheus monitoring.
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·4 min
How Should New Graduates Choose a Technical Specialization? Starting from ML Engineering Practice
How should new graduates choose a technical specialization in the AI era? Analyzing the gap between model callers and builders, Kubernetes experience transfer, C++/CUDA learning paths, and the value of deep specialization.
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·4 min
Are Entry-Level ML Positions Disappearing? A Realistic Path Into Machine Learning Engineering
Entry-level AI positions barely exist. This article analyzes why junior ML roles are scarce and provides realistic paths in—via Python backend development, data engineering, and pragmatic learning strategies.
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·4 min
A Practical Guide to Switching from Cursor to Claude Code: Pitfalls and Solutions
A practical guide to migrating from Cursor to Claude Code covering habit adaptation, context rebuilding, the Plan-Check-Apply risk control method, and debugging strategies for developers.
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·5 min
AI Agent Testing in Practice: Five Core Focus Areas and Quantitative Evaluation Methods Explained
A deep dive into AI Agent testing vs. traditional testing, covering intent recognition, slot filling, negation handling, prompt design, security testing, plus quantitative metrics like precision, recall, and F1 score.
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·5 min
Complete Guide to IT Career Paths: 6 Major Tracks & Education-Matching Strategy
In-depth analysis of 6 IT career tracks: Algorithm Engineer, Large Model Developer, AI+Programming, Embodied Intelligence, FDE, and Intelligent Testing, with probability-based guidance matched to education level.
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·4 min
The Design Philosophy of Agent Skills: Making AI Interrogate Your Development Methodology
Deep analysis of Matt Pocock's open-source Skills repo: Grill Me interrogation-style alignment, Wayfinder decision mapping, smart/dumb zones, and the shift from tactical to strategic programming.
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·3 min
How Mid-Career Programmers Can Break Through the AI Anxiety Trap
A 36-year-old career-switching programmer panics about AI. This article dissects the real impact of AI on software engineers and offers concrete strategies for mid-career developers to evolve from code executors to AI-era decision-makers.
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·2 min
Confessions of the Last QA Engineer at My Company: AI Is Silently Reshaping the Testing Role
A QA engineer with 8 years of experience watches their team shrink from three to one. Their work shifted from writing tests to reviewing AI output—a silent reshaping of the testing role in the AI era.
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·4 min
Forward-Deployed Engineer (FDE): A Complete Guide to the $400K AI Role
FDE job postings surged 1165%, paying $300K-$400K. Learn what FDEs do, the three core skill stacks, interview process, and a realistic path from zero to offer.
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·3 min
A 4-Week Roadmap to Getting Started with AI Agent Development from Scratch
A complete 4-week learning roadmap for AI Agent development from scratch, covering core theory, ReAct paradigm, multi-agent collaboration, Prompt optimization, and hands-on projects.
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·4 min
AI Solves a 30-Year Math Problem for $2,000 — What Does It Mean?
OpenAI's model Astra solved ten open math problems in 24 hours for $2,000, including a 30-year-old group theory puzzle. Formally verified proofs bypass trust issues, recursive self-improvement thresholds are crossed, and global AI governance is unprepared.
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·3 min
Advanced AI Agent Development: A Complete Practical Guide to Three Major Frameworks
A deep dive into AI Agent development covering LangChain, LangGraph, and CrewAI frameworks, from single-agent to multi-agent collaboration systems.
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·3 min
Confessions of a Long-Distance Sailor: Systems Thinking and Risk Management in Solo Voyaging
Exploring systems thinking, risk management, and long-term thinking through a long-distance sailor's confessions. The metaphorical parallels between solo sailing and software engineering.
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