Automation Tech Guru @AutoTechGuru
AI-Driven Software Quality & Automation Consultant | • Helping Organizations • AI-Enabled Automation • Quality Leadership | Consulting, Workshops & Advisory koalendar.com/u/AutomationTe… Joined June 2022-
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Do you remember when you joined X? I do! #MyXAnniversary
Check out the latest article in my newsletter: The QA Compensation Gap Is Growing And AI Is Making It Bigger linkedin.com/pulse/qa-compe… via @LinkedIn
I just published Two versions of your QA career → Version 1 → Still three years behind. medium.com/p/two-versions…
@satyanadella We've spent decades using software to make people more productive. AI introduces the possibility of a true collaborative layer between human & machine intelligence. The frontier is exciting, but the ecosystem of learning, governance, and adoption will determine how far it can go
It is one deliberate decision and the right path to follow it. Which version are you building toward right now? Where is your career currently heading? #QualityAssurance #QAAutomation #SoftwareTesting #TestAutomation #SDET #Playwright #SeleniumWebDriver #CareerGrowth #TechCareers
applying for roles that now ask for skills you were never trained in. Version 2 - owning the architecture, making data-driven release calls, explaining quality in business numbers that leadership actually acts on. The gap between them is not years of experience.
Two versions of your QA career → Version 1 → Still three years behind. Version 2 → Take different direction to grow next.Two versions of a QA career exist in most organisations right now. Version 1 - maintaining what someone else built, running regression nobody fully trusts,
The Anxiety Gap isn't a resourcing problem. It's an architecture problem. What does your team's Anxiety Gap look like? #TestAutomation #QA #EngineeringLeadership #SoftwareQuality #AutomationTesting #AnxietyGap
Most teams don't have a testing problem They have an Anxiety Gap The distance between the quality they need and the quality they can confidently deliver Everyone knows it's there QA knows Developers know Product knows Leadership knows Nobody names it So everyone ships and hopes.
The concern many people have is that the web could become increasingly filled with synthetic layers sitting on top of a smaller amount of original human-created knowledge. That's probably closer to the point you were making.
Experience Experiments Observation Discovery Investigation AI mostly reorganizes and recombines existing knowledge. So if synthetic content grows faster than original content, finding authentic sources becomes harder.
Tools like ChatGPT, Claude, Gemini, and many others can generate millions of articles, posts, comments, and answers. Much of this content is based on patterns learned from existing content rather than new firsthand knowledge. As a result, many people feel that:
Suddenly it hit me. Remember when everyone said: DeepSeek will change everything Sora will replace video production Copilot will replace programmers Llama will beat OpenAI Cursor is the future Perplexity will kill Google What happened? Nothing. And that's the point. In AI, fame?
The goal isn't more value The goal is faster value Reduce the Time-To-Value (TTV) If someone can use ur lead magnet in 60 sec & get a win, they'll trust you more than if they download a guide they'll never read Stop creating content people save Start creating assets people use
Most lead magnets fail because they're designed to impress, not help Nobody wants: • A 50-page ebook • A 3-hour course • A 125-step framework People want a result. Fast That's why prompts, templates, workflows, checklists, & AI skills are outperforming traditional lead magnets
Vibe coding lets you build the wrong startup 10x faster. Ask me how I know? mass-produced dead projects before one worked. The issue wasn't execution, it’s things nobody asked for. Everyone ships in a weekend & calls it a startup. It’s not product You have a demo pretending to be
The biggest AI coding myth: Winning isn’t about coding faster. It’s about leverage. The top 1% use: • Multi-agent systems • Reusable prompt frameworks • Automated debugging • AI code review pipelines The future belongs to engineers who build systems—not just software.
Joy @JayCriptorich
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