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Crafting Resumes and Cover Letters That Beat AI Screeners
If you’ve applied for a tech job within the past few years, you’re well aware that your applications have been scanned by an Applicant Tracking System, or ATS. These software platforms are the initial eyes that scan your documents, filtering and ranking candidates before a human even takes a look. When it comes to ATS, you need to understand how these systems “listen” and tailor your application accordingly, especially given how more ATS systems are incorporating some degree of AI. Let's dive into how you can craft "smart applications" that speak the language of AI screeners and land you that coveted job interview. Understanding How ATS Works Let’s briefly demystify what an ATS actually does. They typically perform several key functions: Parsing: Extracting information from your resume and cover letter and populating specific fields in a database (e.g., name, contact information, skills, work experience). Keyword Matching: Comparing the keywords in your application to those in the job

Ace the AI Interview: Mastering Virtual Assessments and Chatbot Screens
A couple of years ago, the idea of being evaluated for a job by an algorithm might have seemed like something out of a sci-fi movie (even a dystopic one). Now, however, it’s reality: from automated video interviews to initial chatbot screenings, artificial intelligence is playing a bigger role in evaluating candidates early in the job-hunting process. Yes, this is potentially aggravating: you want to speak to a human. But dealing with the AI interview paradigm isn’t ‘just’ about outsmarting a robot: it's about understanding how these systems work and adapting your interview skills to shine in this virtual environment. With all of that in mind, let’s break down AI-driven assessments and how you can triumph—or at least end up in front of an actual person for the next interview round. Decoding the Digital Interviewer Understanding how AI analyzes your responses is the first step to success. While the specific algorithms vary between platforms, here are some common ways AI evaluates candid

5 Ways to Use AI as a Software Developer
AI is becoming ubiquitous within tech companies. Executives are asking developers to utilize generative AI chatbots and other tools in their workflows. Whether that AI actually makes tech work easier is an open question, but tech pros everywhere can’t ignore how this technology is changing the game. Given how much I’m using AI in my own development work, I wanted to explore all the ways in which you can use AI tools to at least speed up your workflow a bit. I came up with five specific uses: Generating code for you. Teaching you a new programming language. Debugging your code and fixing compile errors. Generating data for you. Generating practice job interview questions for you. Obviously, many developers are figuring out whether AI is truly good at generating code. AI tools will provide code in response to a prompt, but is it useful? The answer is “yes”—with some significant caveats. Here are some things to keep in mind. Trust but verify: You should not expect AI-generated code to alw

2025 Tech Layoffs Tracker: Navigating Job Cuts in Startups and Big Tech
The tech industry isn’t immune from the turbulence gripping the broader economy. Indeed, following a multiyear phase of rapid expansion, many startups and tech giants are implementing workforce reductions. This wave of layoffs serves as a stark reminder of the oft-unpredictable nature of the tech landscape, influenced by factors such as slowing hiring, strategic realignments, and evolving market realities. Let’s take a quick look at the current state of layoffs, along with crucial guidance on how job seekers can strategically adapt and navigate this evolving environment. Tech Layoffs Tracker Table (2025) Below is a live-updated table detailing the layoffs announced by startups and major tech companies throughout 2025. This information is crowdsourced by layoffs.fyi, a much-respected tracker of tech layoffs (the website has also recently instituted a tracker for federal government layoffs due to DOGE). Here’s the breakdown: Key Trends in 2025 Tech Layoffs The layoff trends observed in 2

Agentic AI: What Cybersecurity Pros Need to Know
The release of OpenAI’s ChatGPT helped push generative artificial intelligence (AI) into the enterprise mainstream. Since then, organizations have grappled with testing virtual chatbots and large language models (LLMs) to determine where these technologies could help. Now, the latest iteration of AI is poised to create additional disruptions. Dubbed agentic AI, this next version of artificial intelligence takes generative AI technologies and platforms to the next level by creating systems that can autonomously conduct various functions, including making decisions on actions or tasks without human intervention. While many tech firms that have previously invested in AI are working on agentic AI, Microsoft brought significant attention to the topic during the company’s Ignite conference in November 2024. Following that announcement, Gartner released a report predicting that nearly a third of enterprise applications will use the technology by 2028, and that 15 percent of everyday decisions