The Problem
Most career advice about AI agents is useless
These sound helpful. They are not. They treat every tech role as identical, every career stage as interchangeable, and every industry as moving at the same speed.
The reality is more specific and more useful. AI agents automate tasks, not jobs. Your role is a bundle of 20–50 discrete tasks, and agents are reaching each of them at different speeds. Some of your daily work is already being handled by coding assistants, testing agents, and automated pipelines. Some will be for years. Some may never be. The useful question is not “will AI agents take my job?” but “which of my tasks are agents reaching for right now, and what does that mean for how I spend my time?”
This site exists to help you answer that question honestly.
What You Will Find Here
Four frameworks for navigating the agent boom
Task-Level Analysis
Your job is not one thing. It is thirty things. Learn to see your role as a bundle of tasks and assess which ones AI agents are reaching for first.
Find Your Moat
Identify the tasks in your current role that AI agents are furthest from handling. These are your competitive advantage. Double down on them.
Stack Your Skills
Individual skills are automatable. Specific combinations of skills are not. Learn to build a stack that is greater than the sum of its parts.
Transition Pathways
If your role is compressing, where do your existing skills transfer? Specific, practical paths from current tech roles to adjacent ones.
Who This Is For
Tech professionals at every stage
This guidance is written for people who build technology for a living, and who are now working alongside AI agents that do the same. Not executives reading McKinsey reports. Not career coaches selling courses. People who write code, design interfaces, analyse data, manage products, and keep infrastructure running.
Software Developers
Frontend, backend, full-stack, mobile. Coding agents are your most visible new colleagues. Understanding what they can and cannot do is now a career skill.
Designers
UI/UX, product design, visual design. Production work is shifting fast. Strategic work is not. The gap between them is where your future lives.
Data Professionals
Analysts, scientists, engineers. AI is simultaneously your tool and your competitor. Knowing which is which matters.
DevOps & SRE
Platform engineers, infrastructure specialists, reliability engineers. Automation has always been your job. Now AI agents are automating the automation.
QA & Testing
Manual testing is the most automatable task in tech. But exploratory testing, risk assessment, and the adversarial mindset are not.
Product & Management
Product managers, engineering managers, technical leads. The role is changing shape, not disappearing. Strategy and people remain human problems.
Our Approach
Honest, specific, and regularly updated
This site does not sell courses or certifications. It does not tell you everything will be fine. It does not tell you the sky is falling. It gives you frameworks for thinking clearly about the AI agent boom, a shift that is moving faster than most career advice can keep up with.
Three principles:
Specificity over generality. “Learn new skills” is useless. “If you are a mid-level frontend developer, your layout and component work is being automated faster than your accessibility and performance optimisation work” is useful.
Tasks over jobs. The question is never “will this role exist in five years?” The question is “which tasks within this role are changing, and what replaces them?”
Honesty over comfort. Some tasks are already gone. Some roles will compress. Pretending otherwise does not help you prepare. Knowing which parts of your work have the longest shelf life does.
Start with the guide
A comprehensive, practical framework for assessing your position and planning your next move.
Read the full guide