Dylan Humphreys

Thrilled to meet fellow trailblazers diving into AI and entrepreneurship! 🚀🤝 Let's chat about ADHD, RSD, and battling imposter syndrome. Together, we can turn challenges into triumphs. Who's ready to revolutionise the conversation with me? 💬

I think you also need an understanding of how a solution should be done. There are lots of exaggerated claims around how AI will make developers redundant, but AI isn't there (yet). Output from the model still needs sense checking to prevent going down rabbit holes. Exciting tech though none the less.

VIBE CODING IS THE NEXT BIG SKILL Vibe coding is a HARD skill to acquire, especially for non-techies. You need to - understand the limitations of coding agents - get the AI to explain like you are a dummy - nudge the AI right and get it to fix bugs - have all the tools (storage, compute) available to the AI Non-techies can master it over time in the right environment! Yes, we should have something to launch this week. Our goal is to get non-techies to build simple full-stack apps 😍

Check out my latest article: The AI Revolution in Product Development: Is Your Role at Risk or About to Skyrocket? linkedin.com/pulse/ai-revol… via @LinkedIn

Just dropped a new tutorial showing how to replace ChatGPT with DeepSeek-R1 using Teams Toolkit in VS Code. Enhance your bot's AI capabilities with step-by-step guidance. 📺 Watch here: youtu.be/DPQCWL1c1ao #MicrosoftTeams #DeepSeekR1 #VSCode #AI #ChatBot #DevTips

@Angaisb_ There's no spoon either ;-)

Things we had no idea about a year ago: - GPT-4o - Grok-2 - Claude 3.5 - Claude 3.5 (new) - o1 - Gemini 2.0 - o3 & o3-mini - Grok-3 - Claude 3.7 Sonnet - GPT-4.5 - A lot more THERE'S NO WALL

Not sure this is a fair comparison. Replit is very much aimed at power users taking their first steps into coding (or vibing) Personally I use Cursor, but I come from a development background. I expect more tools like Replit's AI Agent to enter the market as the models get better and better.

Which way?

Im a developer by trade, and I think this is correct. Coders at large say "AI cant get the code quality etc.." but if the code works, and within the specs, does code quality matter? I can see development jobs becoming more like "Prompting and QA" jobs. Testing will become the most important thing. It tracks therefore that SaaS companies are going to feel a pinch at some point.

SaaS is being dismantled as we speak! We're witnessing the slow-motion collapse of an entire business model that dominated tech for two decades. The $1.3 trillion SaaS is being quietly hollowed out from within by AI agents. Here's how I see it playing out: Phase 1 (Now): AI as co-pilot. We're seeing this everywhere, Copilot for developers, Gamma for presentations, Harvey for legal research etc. These AI layers sit atop existing software, making it more efficient. The SaaS companies feel safe, even excited, as AI seems to make their products more valuable. They're bringing knives to what they think is a knife fight. Phase 2 (Next 12-18 months): The agent invasion. AI moves from co-pilot to autonomous operator. They're replacement workers that can fully operate existing software on your behalf. The dam breaks when someone can say "analyze our Q2 performance" rather than clicking through Tableau, or "optimize our ad campaigns" instead of navigating Meta's ad manager. The expertise previously bundled with the software gets unbundled by agents. Phase 3 (2-3 years): Software invisibility. The final phase happens when the agents bypass the human interfaces altogether. Why render dashboards, buttons and menus when AI can just access the APIs directly? The value proposition of SaaS, bundling software, workflow, and expertise into user-friendly interfaces unravels completely. The interfaces were designed for humans, but agents don't need them. Most SaaS incumbents don't see it coming because this isn't a classic disruption pattern. It's not about competing products with better features. It's about the evaporation of the core assumption that humans will operate software. What's more, the barrier to creating custom, internal software is collapsing simultaneously. Companies that once had to choose between expensive custom development or off-the-shelf SaaS can now spin up bespoke solutions in days instead of months. Why pay Hubspot $1,500/month for a CRM when your team can build 'HubspotForUs' with an AI coding assistant over a weekend? The same features, perfectly tailored to your workflow, with no ongoing subscription costs. This democratization of software creation means every company becomes a potential software producer rather than just a consumer. The specialized knowledge that SaaS companies monopolized is now available to anyone with access to an AI coding agent and domain expertise. It went from $1M to build an MVP to build a SaaS to basically free overnight. I bet the metrics will be puzzling at first, DAUs remain strong while feature usage mysteriously declines. The power users who drive revenue suddenly need fewer seats. Customer success calls shift from "how do I use this feature?" to "can your software work with my AI agent?" Or worse: "we built our own version that better fits our workflow." The survivors won't be those with the best features or even those who add AI features fastest (from no AI to "ai-assisted"). The winners will be companies that expose their software's capabilities through agent-friendly APIs and position themselves as the most trustworthy information sources and execution engines in their domain. There's also the shift from monthly subscriptions to outcome based software (pay per outcome, pay per task etc) but that's a tweet for another day! The $1T question: Will Microsoft, Atlassian, Adobe etc. successfully navigate this transition, or will they be the Digital Equipment Corporation of our era too invested in the previous paradigm to adapt to the new one? All I know is this will be a golden era for startups in the space. SaaS is being dismantled, piece by piece, workflow by workflow, interface by interface. Am I wrong?

Creating a 2d Crossy Road (or Frogger if you're old enough) clone with my son. This really is the future of coding. Do I worry about excessive screen time? Yes, but this is creating something vs tuning out on youtube videos... Which he some-how still finds time for! 🤷‍♂️

We have a range of courses suited for all skill levels. dixonhumphreys.com/courses The coding with code course is particularly popular. I teach how to vibe with replit AI Agent. We've already helped 100's of people who previously could not code AT ALL create solutions which save them hours a week.

AI is changing the future of work. Here are 10 courses that will help you learn AI: 👇

@bindureddy The DeepSeek team "just" made the training process more efficient. This doesnt mean that less GPUs will be purchased / made. All this has done is get us more "bang for the buck" on the existing GPU estate.

DEEPSEEK CATEGORICALLY PROVES WE DON’T NEED ALL THOSE GPUs OpenAI - GPT-4.5 - $150 per 1M tokens - profit margin - 0% Deepseek - R1 - $2 per input token - profit margin - 545% DeepSeek is almost 300x more efficient!! 🤯

🚀 AI is Changing Software Development—But Are We Ready? 🧵

@johnrushx Even if LLM Development stopped right now, there is enough latent ability in the models we have to achieve massive productivity gains for years to come. We've become too used to having the next new shiny thing.

We hit the wall with LLMs > Two years ago, GPT4 made AI wrappers & Agents possible. > Sonnet 3.5 solved the AI code generation. > I just tried Sonnet3.7, GPT-4.5, O-3, Grok, and Gemini... > Not impressive. Not even close to gpt3->gpt4 jump What's next:

7/ I don’t have a crystal ball 🔮, but I do know this: 🔥 Adaptability is the key skill now. Expect change. Be ready to rethink. The definition of “good code” is shifting—are you? What do you think? Agree? Disagree? Let's discuss. ⬇️

6/ The developers who thrive won’t be the ones clinging to old definitions of quality. They’ll be the ones who adapt—who embrace AI and redefine what good code looks like in an AI-first world.