Michael Willson

Sentry has rolled out Seer, its AI Debugger built to help engineers move from error alerts to actual fixes faster. Previously known as Autofix, Seer is now positioned as a full AI debugging agent that works directly inside Sentry, using the same production context teams already rely on to…

If you know nothing and want to become a front-end developer using AI tools, your goal is simple: Learn the basics of web UI (HTML, CSS, JavaScript, and a framework like React) Use AI to speed up the boring parts (setup, boilerplate, repetitive components, tests, docs) Keep your judgment for the…

We keep reading that AI is replacing jobs. Writers, analysts, support teams, even developers are seeing tools take over parts of their work. So the question shows up everywhere now: what jobs are safe from AI? This is not curiosity. It is practical. We are all trying to avoid choosing work that…

Everywhere you look, there are claims that AI will replace engineers, write hardware designs on its own, and make technical degrees obsolete. That noise creates a real concern, especially for students and early career engineers. So the question is computer engineering replaced by AI deserves a…

If you want to build and improve HTML pages using AI, you are not trying to become a “prompt person.” You are trying to ship real web pages that load fast, validate cleanly, and work for real users. This guide is written for you if you are starting from zero and want tools that help…

If you are applying to college right now, you are probably asking yourself this very directly: do colleges check for AI in application essays? The honest answer is yes, they may, but not in the way most students imagine. Colleges are not sitting there blindly trusting AI detection tools to catch…

People ask AI about everything. Career choices. Relationships. Life decisions. Even baby names. So it is completely normal that people also ask about names. When you ask what does AI think about names, the honest answer is this: AI does not have opinions about names. It has patterns. AI looks at…

People use AI today to get real work done faster and with fewer mistakes. Not as a novelty. Not as a chatbot to play with. AI is now used to draft, plan, analyze, summarize, review, and prepare decisions across everyday tasks. If you are asking how do I use AI, what you really want to…

AI is not cleanly good or bad. It is a capability. What matters is how, where, and why it is used. In everyday work, AI can save time, improve quality, and reduce boring effort. In careless or high-risk deployments, it can mislead, discriminate, invade privacy, or remove human judgment where it…

AI arbitrage is not a trading trick or a technical loophole. In today’s agency and services world, AI arbitrage means using AI to deliver the same or better client outcomes with far less time and labor, while pricing stays tied to results, not hours. The margin comes from efficiency. The advantage…

Language segmentation in AI means identifying which parts of a text or conversation belong to which language when multiple languages appear together. Instead of assigning one language label to an entire sentence or document, the system breaks the content into segments and tags each segment with its…

AI is very good at describing places, summarizing travel advice, and explaining geography concepts. But when people actually try to use AI for real geography tasks like routes, borders, maps, or local time, clear gaps show up fast. The short, honest answer is this: AI often sounds confident about…