Developer job titles are changing, and GTM Engineer is one of the fastest-growing roles at the intersection of software, data, automation, AI, and revenue. Instead of building only for product or internal engineering teams, GTM Engineers help companies find, convert, retain, and expand customers through better systems and smarter workflows.
In this episode, Matt and Mike explain what GTM Engineers actually do, why being closer to revenue can make an engineer's value easier to demonstrate, and how developers can move toward this work without starting their careers over. They discuss lead scoring, CRM integrations, customer-usage alerts, sales automation, portfolio projects, resume positioning, customer calls, and the importance of documenting measurable business impact.
After using AI coding tools professionally and personally, Brett Codes says he is done. His viral video and blog post describe feeling detached from his work, less engaged with programming, and increasingly anxious about the future of his career. This anxious feeling is common in tech and software engineering spaces today as LLMs invade what was once a complex and manual job that required dedication and practice to learn. Matt and Mike discuss why that story resonates with exhausted developers, the pressure companies place on teams to adopt AI, whether opting out is realistic, and what happens if hand-written code becomes a niche craft.
Small-business websites used to have a straightforward job: explain who you are, what you offer, and how customers can contact you. Then search became a major source of discovery, and businesses added keyword-focused pages, blogs, technical SEO, and local listings. Now AI Overviews and zero-click search are changing the equation again. Does that mean blogs and traditional websites are dead? Matt and Mike argue that they are still essential - but they are no longer the whole strategy. In this episode, they break the modern small-business website into three layers: a trustworthy digital brochure, a discovery engine, and a useful tool. They explore how calculators, product selectors, rankings, schedules, availability checkers, and other “micro-app” pages can give real customers a reason to visit, return, and take action. They also explain why businesses should preserve existing content and link equity, measure what works, and build the new layer gradually instead of throwing everything out.
Anthropic CEO Dario Amodei reportedly worries that some new hires are joining the company for the paycheck rather than its AI safety mission. But with competitors offering top researchers compensation packages reportedly reaching nine figures, is choosing the money really surprising? In this edition of theWeb News, Matt and Mike discuss the escalating AI talent war, whether company culture can compete with life-changing compensation, and why years of layoffs have made workers less willing to put an employer’s mission ahead of their own financial security.
The episode is based on reporting summarized by AI Weekly, which notes that researchers are also weighing compute access, technical freedom, and influence - not compensation alone.
Before becoming an engineering manager, Mike spent nearly two years washing dishes and another five working as a line cook. The jobs may seem completely unrelated to software development, but the lessons he learned in the kitchen continue to shape how he handles pressure, leads developers, and solves problems today. In this episode, Matt and Mike discuss how early jobs outside of tech can prepare you for a career in development. They explore thriving in chaotic situations, matching people with the right responsibilities, cross-training team members, paying attention to details, and finding the motivation to keep learning. They also share how factory and kitchen work taught them what they wanted from their careers - and what they never wanted to return to.
Every major technological revolution seems to come with the same question: is this a bubble? AI is no exception. In this edition of the Web News, Matt and Mike explore why so many people are comparing today's AI boom to the dot-com bubble, and what history can teach us by looking back at events like Railway Mania, the dot-com crash, and the 2008 housing crisis. Along the way, they discuss the difference between revolutionary technology and speculative investment, and whether those two things can exist at the same time.
Choosing the right CMS isn't about picking the most popular platform - it's about asking the right questions.
In this episode, Matt and Mike break down the framework they use before recommending a content management system for a new website. From understanding who will manage the site to evaluating budget, customization, maintenance, and long-term goals, they explain how different project requirements naturally lead to different solutions.
Along the way, they discuss where platforms like WordPress, Webflow, Shopify, and headless CMSs tend to shine, common mistakes developers make when choosing a CMS, and why there isn't a single "best" option for every website.
Whether you're building a client website, launching your own business, or simply trying to decide which CMS to learn next, this episode will help you make more informed decisions.
Do you actually own the digital games you buy?
An Xbox player in Brazil successfully sued Microsoft after a hacked account left him locked out of his entire digital game library - and his other Microsoft services. The court ordered Microsoft to restore his account and compensate him, raising some interesting questions about the rights consumers have over their digital purchases.
In this Web News, Matt and Mike discuss digital ownership, game preservation, account bans, DRM-free alternatives like GOG, and whether buying a digital game is really ownership - or just an indefinite rental.
AI coding tools can make developers faster, remove tedious work, and help us build things that once felt out of reach. So why can using them still leave us feeling drained? In this episode, Matt and Mike explore the complicated relationship between AI coding and developer burnout. They discuss losing the satisfaction of solving difficult problems, the mental cost of managing multiple AI workflows, whether AI-generated work still feels like your own, and why reviewing code can be more exhausting than writing it. They also share ways developers can build a healthier relationship with AI - from finding meaningful personal projects to testing strategically and creating a workflow that doesn’t require reviewing every generated line.
Kimi K3 is a massive new open AI model with 2.8 trillion parameters, native vision and a one-million-token context window. Its creator claims it can compete near the frontier of coding, reasoning and knowledge work - but its potential goes far beyond benchmark scores. In this Web News, Matt and Mike discuss what happens when companies can operate powerful AI without depending entirely on OpenAI, Anthropic or another hosted provider. Could open models lower costs and unlock better AI products, or will their customizable guardrails create new safety and regulatory concerns?
Modern browsers have evolved dramatically over the past two decades, quietly absorbing many features that once required custom JavaScript or third-party libraries. In this episode, Matt and Mike explore native browser capabilities including form validation, accordions, dialogs, popovers, lazy loading, and responsive images. Along the way, they discuss why letting the browser handle more of the work can improve accessibility, performance, maintainability, and the overall developer experience - without becoming dogmatic about JavaScript.
Should you ship your app as soon as it's functional, or keep building until users love it?
In this episode, Matt and Mike explore the difference between a Minimum Viable Product (MVP) and a Minimum Lovable Product (MLP), and why that distinction matters more than ever in the age of AI-assisted development. We discuss feature creep, validating ideas with real users, trusting your instincts as a founder, and how to balance shipping quickly with building something people genuinely want to use.
Whether you're creating an app, SaaS, game, or startup, this conversation is packed with practical lessons on building products that solve real problems and keep users coming back.
Remote work isn't simply about working from home - it’s about building systems that let people do their best work without constant meetings or interruptions.
In this episode, Mike shares nearly a decade of experience leading asynchronous engineering teams, discussing what separates successful async companies from those that struggle. We explore why trust, written communication, documentation, and intentional collaboration matter far more than online status indicators.
We also discuss hiring for self-direction, onboarding remote employees, balancing autonomy with accountability, and why async work isn't the right fit for everyone.
Whether you're leading a startup, managing a remote engineering team, or hoping to land your next remote job, this episode explores what successful async work actually looks like.
Sony has announced that beginning in 2028, new PlayStation games will no longer be released on physical discs. While much of the discussion has focused on digital ownership and game preservation, we explore a different question: what does the loss of physical media mean for gaming culture? From collectors and preservationists to streamer backgrounds, game stores, and shelves filled with iconic box art, physical games have become symbols of gaming itself. As the industry moves toward an all-digital future, are we losing more than just discs?
Artificial Intelligence is advancing faster than ever, but can it actually be made safe? In this episode, we explore the evolution of AI from today's Narrow AI systems to the theoretical future of Artificial General Intelligence (AGI) and Superintelligence. Along the way, we discuss AI alignment, control, bias, security, transparency, and the growing challenges researchers face as AI capabilities continue to accelerate. We also examine concerns raised by AI safety researcher Dr. Roman Yampolskiy and compare them with current safety approaches from organizations like Google DeepMind and NIST.
Whether you're a developer, tech enthusiast, or simply curious about the future of AI, this episode provides a practical introduction to one of the most important conversations in technology.
The price of consumer electronics keeps climbing, and it may not be slowing down anytime soon. Using Valve's new Steam Machine as a case study, we examine how the ongoing RAM pricing crisis and AI-driven demand for hardware are reshaping the consumer electronics market. From gaming PCs and consoles to smartphones and local AI hardware, we discuss why prices are rising, what it means for consumers, and whether affordable tech is becoming a thing of the past.
Matt Diamante joins the show to discuss modern SEO, social media growth, and building an audience in the age of AI. We explore how he grew his following to over 600,000 people, why he fired his largest client to focus on content creation, and what businesses need to do to stay visible as search evolves beyond traditional Google rankings. We also discuss AI Overviews, personal branding, content strategy, and whether SEO still has a place in an increasingly AI-driven web.
For years, SaaS companies seemed untouchable. Now, investors have wiped trillions of dollars from software stocks as AI agents become capable of building functional clones of popular products in minutes. But are these fears justified? In this episode, Matt and Mike break down the growing panic around AI and SaaS. They explore why investors believe AI could destroy software moats, why tools like Claude Cowork and other AI agents are causing concern, and whether the market is overestimating how easily software companies can be replaced. They also discuss the hidden costs of replacing SaaS with internal AI-generated tools, the importance of integrations, maintenance, security, support, and why switching costs may be a stronger moat than many investors realize. Is SaaS actually dying, or is Wall Street pricing in a future that may never arrive?
In this edition of the Web News we address one of Mike's recent statements where he advised anti-AI workers to "shut up" in the face of a pro-AI workplace. He stated that you should not be bringing up your AI concerns to workplaces that are bullish on AI, especially during the difficult job market that developers and other tech workers find themselves in. This statement came with some harsh criticism from commenters, some of whom believe that you should not be covering up your own concerns and beliefs in order to keep a job that you disagree with. Matt and Mike revisit Mike's previous statement, and debate this topic surrounding a detailed comment left by a viewer.
Artificial intelligence may live in the cloud, but the infrastructure powering it exists in the real world. As companies race to build hyperscale AI data centers, communities are raising concerns about power consumption, water usage, housing pressures, environmental impacts, and the strain on local infrastructure. In this episode, Matt and Mike break down what data centers actually are, how AI is changing their scale and requirements, and why the rapid expansion of AI infrastructure has become one of the most controversial technology stories of the decade. Are AI data centers worth it, or are the costs starting to outweigh the benefits?
Anthropic has released Claude Fable 5, a Mythos-level AI model with built-in safeguards designed to route certain high-risk prompts to older models instead. As AI capabilities continue to accelerate, are AI companies creating systems they no longer fully trust? We discuss AI safety, prompt routing, technical debt, and whether this approach can scale as future models become even more powerful.
Most conversations about AI focus on job displacement, but a different story is unfolding at the same time. As companies rush to adopt AI, entirely new roles are appearing to bridge the gap between powerful models and real-world business problems. In this episode Matt and Mike explore emerging careers like Forward Deployed Engineers, AI Generalists, Prompt & Evals Engineers, and the growing need for developers who can rescue and maintain AI-generated applications. Are these temporary jobs created by a rapidly changing industry, or early signs of what the future workforce will look like?
In this edition of Web News, Matt and Mike debate whether AI coding agents are starting to reverse the no-code revolution. Inspired by a recent article about a company abandoning its no-code website and returning to code, the conversation explores how tools like OpenAI Sites, Cursor, and other agentic workflows are changing the way websites are built. Are platforms like Webflow, Wix, and Squarespace facing a new challenge, or will they evolve alongside AI? From agency workflows and client expectations to the future of frameworks like React and Next.js, this episode dives into one of the biggest shifts currently happening in web development.
When you launch a website, how long should you expect it to last? Two years? Five years? Ten?
The answer depends on what you mean by "last." A website can remain online and technically functional for years while quietly becoming harder to maintain, slower to evolve, less effective at generating leads, or increasingly out of touch with a company's brand and customers.
In this episode, Matt and Mike explore the real lifespan of modern websites. They break down the difference between replacing a website because you want to versus because you have to, discuss how technical debt, security, performance, SEO, and changing business needs can force a rebuild, and examine whether modern architectures like headless CMSs, design systems, and component-based development are helping websites stay relevant longer than ever before.
Whether you're a developer maintaining client projects or a business owner wondering if your website is due for an upgrade, this episode will help you understand the signs that a website is reaching the end of its useful life - and what to do about it.
For years, technology kept adding new categories to our lives. First it was the desktop computer, then the laptop, smartphone, tablet, smartwatch, wireless earbuds, game consoles, and now smart glasses and AI-powered wearables. The problem is that every new category comes with its own price tag, upgrade cycle, and growing expectation that we'll keep up. In this edition of the Web News we're discussing the rising cost of consumer technology, whether the average person can realistically afford this expanding portfolio of devices, and how consumers should think about spending in an era where tech feels more expensive than ever.
