Got a pitch that opened with Hi {{first_name}}, — the template variable literally unrendered. So I built a thing that doesn't bother either, a brutal AI screener. Three examples in post. "We don't template people we really care about, right?" zackproser.com/blog/inbox-classifier-going-guerilla

Just finished setting up the newsletter I've been meaning to build for three years. Get my best essays weekly, then new writing as it lands. Applied AI, dev tools, no hype. Free. zackproser.com/subscribe

Two AI agents, one phone. Claude Code handles infrastructure while Hermes runs content — fully separate, fully controllable from anywhere. Separation of concerns isn't just good software design. Turns out it's the right way to architect your agents… https://zackproser.com/blog/two-agents-one-phone

Claude Code on my Mac couldn't see what Hermes was doing on EC2. So I built a signed webhook bridge over Tailscale — SSM RunCommand triggers it, HMAC validates it, and now the two agents actually talk to each other. https://zackproser.com/blog/webhook-bridge-pattern

14,790 words. 9 posts. 47 images. 12 PRs. Two days. Full-time job. Two toddlers with zero screen time. Here's exactly how I ran two AI agents in compressed windows to make that happen. https://zackproser.com/blog/nine-posts-in-48-hours

My AI agent started giving shallow responses. So I spun up a second agent, SSH'd into the EC2 instance, found the throttled context window, fixed it, and restarted the gateway. The first agent woke up better — with no idea it happened. https://zackproser.com/blog/my-ai-agent-has-a-mechanic-agent

After weeks of frustration, I finally cracked zero-lag Steam Link streaming on Apple Vision Pro — while watching TV at the same time. Here's the exact setup that works, and every wrong turn I took getting there. https://zackproser.com/blog/play-steam-link-vision-pro-while-watching-tv

Started the day strong with an awesome workshop on Skills at @aidotengineer.bsky.social with @zackproser.bsky.social in London! If you're around the conference stop by the @workos.bsky.social booth and tell me what your favorite skill is!

9 blog posts. 14,790 words. 47 images. 12 PRs merged. All while working full-time and solo-parenting two toddlers. Zero screen time with kids. Two AI agents I talk to in 30-second bursts. One on my laptop, one on EC2. Both from my phone. zackproser.com/blog/nine-p...

14 years of software engineering: RSI, neck injuries + back pain. So I stopped sitting - or even being inside. I ship to prod walking through the forest. AWS infrastructure. Real posts going live. PRs updated and merged. The phone is the new terminal. zackproser.com/blog/phones...

For me, queued messages are the biggest DevEx unlock for @cursor_ai. Now I can enter a flow state where I'm three feature requests/bug fixes ahead of Cursor. I rapidly verify functionality and put new tasks on the queue while it's working through my requests ❤️

Interest in, and adoption of, MCP is exploding. Think: one spec → any tool, any workflow, securely. Big shift for AI infra. Recap from MCPNight here: #MCP #AIInfra

Learning your stack deeply isn’t just about raw velocity—it’s about agility. When requirements shift, you can change direction gracefully, leveraging your expertise rather than scrambling for docs.

Deep expertise isn’t about being a "rockstar"—it’s about sustained rapid iteration. The tighter the feedback loop, the faster you evolve.

One thing that’s working well for Developer Education at WorkOS: pairing open-source companion repositories with detailed tutorials. It’s helping devs learn faster, solve complex problems, and build better systems. Here’s how we do it: 🧵

Hey, I’m Zack 👋 13-yr full-stack dev #buildinginpublic to help others learn. Today’s toy: an interactive token-izer—paste any text, watch an LLM slice it up (👀↓). Into no-fluff deep dives on AI/ML, RAG & #Next.js? Hit Follow and let’s geek out.

Getting deep with a single stack means fewer overlooked edge cases. You see pitfalls coming from a mile away. Production issues decrease, and deployment confidence soars.

Sticking to a known stack, you internalize common patterns and best practices. That means fewer surprises, simpler refactors, and faster scaling when your user base grows. Do you tend to use multiple stacks or have one or two favorites?

Shiny features are tempting. But in a micro #SaaS, your job is to validate, refine, and ship quickly. Ask your initial customers what’s missing and fix that first.

Deep expertise fosters stronger ties to your stack’s community. That means direct access to new tools, timely support, and a constant influx of fresh ideas—further feeding your speed loop.

Micro SaaS can be a small side project—or the seed of your next major venture. Keep your overhead light, set achievable milestones, and watch your momentum grow.

AI Agents That Code Your Game—Meet CrewAI What is it? CrewAI is a Python framework for orchestrating multiple AI agents (like a mini dev team) to generate, review, and validate code. Perfect for building something fun—like a Pac-Man or Pong clone—in Python.

Pick a specific problem and solve it exceptionally well. Micro #SaaS thrives on niche focus. It’s better to delight a small audience than to be “okay” for everyone.

The Vercel AI SDK simplifies how you interact with LLMs—no more juggling complex APIs for different providers.

One of my favorite #Nextjs and Vercel features is the Opengraph image support. This allows you to *dynamically* assemble an image to be associated with every post that gets "unfurled" when shared on social media and generally on the web by all services that support opengraph

A sitemap isn’t just a nice-to-have—it’s how search engines find you. Here’s how to build a sitemap in Next.js the right way: zackproser.com/blog/how-to...

Pure-JS Git in a serverless Node.js environment. No reason to do it—except for the challenge, the curiosity, and the learning. zackproser.com/blog/javasc...

AI workloads can be intense. Handling traffic spikes, global low latency, and GPU provisioning is tough. That’s where Cloudflare Workers come in—serverless, globally distributed, and primed for real-time AI apps.

Ever wanted to let your AI tools “mount” external services? That’s what Model Context Protocol (MCP) does—think: your LLM seamlessly tapping into GitHub, Playwright, & more. Smithery AI smithery.ai/ is a central index to discover, install, and manage MCP servers.

AI-powered apps need reliable, context-aware answers. A RAG pipeline isn’t just an option—it’s a requirement. Start building yours here: zackproser.com/blog/rag-pi...

✨🌐✨

Don’t be afraid to price your product. Early revenue is crucial and helps validate whether your solution provides enough value. Free trials are fine, but clarity on value and pricing is essential.

🙅 Building a game ☝️😎 Building an #agentic system that builds games on demand for you workos.com/blog/how-to...

Boyd’s Law teaches us that speed beats size. By knowing your stack inside and out, you can “Observe, Orient, Decide, and Act” swiftly—an edge that larger teams often lack.

Imbalanced leverage: I write five paragraphs to OpenAI describing my desired app. It turns that into a full technical spec. I pass the spec to Claude Sonnet, incrementally build, test, and commit. What used to take weeks now happens in hours.

Sometimes, you try something just to see if you can do it. I got a pure-JS Git implementation running in a serverless Node environment. Was it necessary? No. Was it worth it? 100%. zackproser.com/blog/javasc...

The hidden benefit of hands-on learning: Every artifact you create becomes a magnet for serendipity. • Blog posts • Tutorials • Open-source projects Opportunities follow creators.

Did you know you can catch AI output errors before they wreak havoc on your #TypeScript app? Zod’s runtime schema validation puts guardrails around your data. Whether it’s an unexpected object shape or a poorly formatted date string, Zod catches it so you don’t have to.

Every dev experimenting with LLMs hits the same question: “How do I make it work with my data?” The answer: a RAG pipeline. Learn how to build one: zackproser.com/blog/rag-pi...

Open-sourcing your work isn’t just about the code. It’s about the conversation it sparks—tutorials, PRs... Feedback loops that sharpen everyone’s skills.

WASM isn’t just for games or UI—it can power authorization. This guide shows how to compile a Golang auth server to WebAssembly and run it in the browser. Full write-up: workos.com/blog/wasm-a...

⚡🤖 MCP is one of the protocols to watch. 👀 It makes models like Anthropic's Claude more powerful by connecting them to external services, such as GitHub, Gmail, Research and data APIs, files on your system, etc. But how do you get started? With our free tutorial! ⤵️🧵

Struggle brings strength

RAG pipelines: • Retrieve what matters • Generate smarter answers If you’re using LLMs for real-world apps, this is the architecture you need. zackproser.com/blog/rag-pi...

At Gruntwork, where we did complex AWS deployments in Terraform, Jim Brikman joked we hire for “pain tolerance.” It stuck with me. A high pain tolerance is a dev superpower. The attitude that no obstacle is insurmountable—only a matter of time.

LLMs make good coders better. They make clueless coders… faster at making mistakes. There’s still no substitute for learning how the machine works.

Need to add Login with GitHub to your Go app? This guide walks you through integrating GitHub OAuth with WorkOS for seamless authentication: workos.com/blog/login-...

Imagine hearing aids that could: • Isolate a single voice in a crowd. • Filter out noise dynamically. • Give you superhuman sound perception. I wrote about the potential future of “Super Hearing Aids”: zackproser.com/blog/super-... It feels like this is getting closer...

Hands-on learning doesn’t just teach you—it creates a flywheel: • You learn the tech. • You ship something real. • You share it, others find you, and opportunities emerge. This cycle has transformed careers. Start building. Never stop.

Fine-tuning Llama 3.1: • Your data • Lightning AI • TorchTune I break down the full process in my latest blog post: zackproser.com/blog/how-to... Perfect for anyone ready to dive into custom LLM training.