David Smooke

My article on spec-driven development in microservices made it to the Top 3 on HackerNoon TechBeat by story reads. It's about why LLM coding agents can write good local code, but still miss cross-service rules. hackernoon.com/why-spec-drive… #microservices #ai

Useful products start with reliable data. Congrats to the first wave of #ProofOfUsefulness winners @proofofuseHQ. 4 amazing projects, powered by @BrightData. 🌐 $4,000 cash prize for 4 winners. All earned. Full announcement👇 hackernoon.com/proof-of-usefu… Still building? Submission is still open! $250 in #BrightData credits for every new entry. Open until Aug 10.

@DavidSmooke distribution solved, curation broke

10/ Publishing got cheap. Attention didn't. The internet communities that survive long-term won't publish the most. They'll build trustworthy systems for helping people decide what's worth reading at all. hackernoon.com/why-internet-c…

9/ Can Quality Usurp Quantity? Why Editorial Friction Matters @hackernoon rejects about 55% of submissions. When editors retitled headlines, stories were 4x more likely to surpass 1,000 reads. No dashboard shows you the impact of what you chose not to publish.

1/ The internet solved the problem of who gets to publish and scaled the problem of deciding what is worth reading. In 1999: 23 blogs. Today: 600 million. 🧵 hackernoon.com/why-internet-c…

David Smooke says he prefers using the underlying AI model directly for the use case instead of relying on extra app layers or wrappers, because he sees the foundational platforms as more flexible. "I use less tools and more calling foundational models" @DavidSmooke

How do corporations make decisions about AI tools and automations? We're discussing it right now in a live session at our AI Skills online conf with: Tanya Roosta, Director of AI @AMD @DavidSmooke , Founder @hackernoon @andrewzakonov, Board member @jetbrains Arun Karthik @ Condé Nast

@hackernoon David, HackerNoon has been around longer than most "AI publications" have existed. There's a reason. They publish what writers actually want to write, not what the algorithm tells them to. Rare pull. Enjoy!

Recently found a great website for reading tech blogs If you are into tech and want to learn, spending even 15-20 mins daily reading blogs is worth it.. hackernoon.com @hackernoon

Boris Sokolov built a portable, Arduino-powered tennis score counter for his eight-year-old son. hackernoon.com/i-built-an-ard…

9 days until AI Skills Conference 🚀 5,000+ AI professionals | 20+ speakers | 5+ hours of hands-on AI Learn the 2026 playbook from leaders like: • @dynamicwebpaige (@GoogleDeepMind) on the 2026 Tool Stack • @aakashgupta on using AI to land your dream job • @PawelHuryn on building Agentic products with Claude • @martinslaney (@boltdotnew) on the "Vibe Coding" revolution Plus experts from @Meta, @DoorDash, @awscloud, @SAP and @Spotify. 📌 Virtual (Zoom) 🗓 May 14 — 8:00 AM PT / 5:00 PM CET 🎟 Free registration → conf.cosprints.ai/?36&utm_source…

AI is already changing how software gets built. But does that mean EdTech vendors—and SaaS in general—are about to become irrelevant? A reader pushed me to react to a “SaaS apocalypse” argument making the rounds. The core claim: if AI can generate software cheaply, the economic case for proprietary platforms collapses and we will see open source as the winning approach. There’s something real here. AI is dramatically lowering the cost and speed of writing code. Open source communities in EdTech, in particular, should take notice. But the conclusion goes too far. Writing code is not the same as delivering a software service. Universities don’t pay EdTech vendors just for features. They pay for security, compliance, integrations, uptime, and ongoing updates—what it takes to support learning at institutional scale. AI may accelerate development, but it doesn’t remove the operational burden. If anything, it raises the stakes. In this post, I break down: • Where the “AI changes everything” argument has merit • Why the SaaS model isn’t going away • What this shift really means for LMS providers and open source Bottom line: AI changes the economics of creation—but not the need for trusted, managed services. onedtech.philhillaa.com/p/ai-saas-and-…