Angelo Applewhite (@builtbyangelo) header
Angelo Applewhite (@builtbyangelo) profile picture

Ex-SDR turned AI-native dev | Building software and products with coding agents | Agentic workflows

Charlotte, NC
Joined December 2020
Photo by Angelo Applewhite (@builtbyangelo)Photo by Angelo Applewhite (@builtbyangelo)Photo by Angelo Applewhite (@builtbyangelo)Photo by Angelo Applewhite (@builtbyangelo)Photo by Angelo Applewhite (@builtbyangelo)Photo by Angelo Applewhite (@builtbyangelo)Photo by Angelo Applewhite (@builtbyangelo)Photo by Angelo Applewhite (@builtbyangelo)Photo by Angelo Applewhite (@builtbyangelo)Photo by Angelo Applewhite (@builtbyangelo)
Angelo Applewhite retweeted
Becoming an AI-native developer is a path I didn't see myself on over a year ago. I've spent the last 16 months learning, building, and shipping products and applications. That meant long nights fixing codebase errors, deployment issues, sloppy executions, agentic hallucinations, and the classic "it works on my machine" problem. Agentic development is powerful when you leverage it correctly. It can give one focused engineer the output of a full development agency. You can instruct agents to run rigorous code reviews around the clock and even merge code without constant oversight. The tools move fast, but the fundamentals still matter. I've learned more by shipping and fixing real issues than by any tutorial. Here's what I've built so far: engineeredxangelo.dev
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Angelo Applewhite retweeted
People are in denial. They literally think they will wake up tomorrow and all the AI-generated code will somehow be useless, and we'll go back to typing code by hand like Neanderthals.
Replying to @svpino
Waiting to see what the ppl posting this kind of jibberish will say in a few months when reality hits, bubble deflates, cost goes up, no agi anywhere, and your codebases are so full of vibe coded cr@p they're basically irrepairable.
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Angelo Applewhite retweeted
Been learning a ridiculous amount from the people I’ve connected with lately. Knowledge bank is still hungry though. If you’re building, founding, or shipping code, say hi 👋🏽
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Angelo Applewhite retweeted
Tell me about Cloudflare and why I should use it over Vercel ⬇️
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Angelo Applewhite retweeted
Diving deep into Claude Code builds this weekend. If you've been using it for your builds, what are your top workflow tips? Looking for best practices on context management, prompts, and avoiding rabbit holes.
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Angelo Applewhite retweeted
👋🏽 Hey everyone, I’m Angelo. 31, Ex- SDR turned solo developer. Building and shipping products with AI. Would love to connect with those doing the same. Let’s do it 🤝
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Angelo Applewhite retweeted
Looking to connect with developers and creators who are building with Lovable or integrating it into their workflows. Wya?
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Angelo Applewhite retweeted
Recently listed one of my builds on @ProductHunt. The experience has been more interesting than I expected. A few more projects in the works, looking forward to sharing them soon. 👨🏾‍💻
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Angelo Applewhite retweeted
Thoroughly enjoyed this concept prototype product build. It’s simple, but cool as hell. Used Gemini to build out the watch itself. It didn’t take much to lock in the design’s consistency. Built the site in lovable. Check it out 👉🏾 astraprototype.one
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Angelo Applewhite retweeted
Been on an absolute building frenzy lately. Learned to zero out the noise because everybody gonna have an opinion. Started a new app build with lovable, entirely different than my usual. Wanted to keep it minimal, and to the point. Still a WIP 🚧 compliantsoc.lovable.app/
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Angelo Applewhite retweeted
Just shipped SpecMirror. Turn a plain language product brief into a clean technical specification with one click. No more vague handoffs or watching AI hallucinate your entire spec document. Built it end to end as a solo dev. Frontend in React 18 + TypeScript 5 with Vite. Pure dark mode UI using Tailwind and shadcn/ui with that Linear inspired aesthetic. Backend and auth through Supabase including Edge Functions in Deno. Stripe integration for payments and customer portal. Even added Web Crypto API for encrypted spec sharing links. The AI is hyper-trained on over thousands of real-world technical documents, architecture patterns, and production specs so it delivers consistent structured output every time instead of the varying freeform results you get from general models like ChatGPT, Claude or Gemini. Generating the frontend with @Lovable was smooth. The real work came from defining every edge case and setting proper rate limits so the whole thing does not blow up or eat tokens like crazy. Check it out: specmirror.one/
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Angelo Applewhite retweeted
Every large company will eventually ban vibe-coding. Vibe-coding is now generating as much technical debt as 10 regular developers in half the time. Vibe-coding is awesome for a first draft, but you can't expect to push AI slop to production and not destroy your software over time. Producing code is no longer a bottleneck. Testing that code, debugging it, monitoring it in production, and fixing it when it breaks is where everyone is spending their time. We've 10x'd the speed of writing code, but we are still in the Stone Age with everything that happens after the code is written. Here is a very cool tool tackling this: You can build "AI Production Engineers" using PlayerZero and make them work for you. These are agents that do this: • Simulate how your code will work in production • Diagnose issues when they happen • Learn from every incident so it doesn't happen again This is pretty awesome! These agents simulate code behavior against real production data. They use actual customer behavior, historical incidents, and edge cases without writing a single test script. When something breaks, the agent traces the issue to the exact line of code and PR, generates the fix, and routes it to the right engineer. And every bug these agents solve serves as training data to improve the system. Here is a link to check them out: playerzero.ai/?utm_campaign=… Thanks to the Player Zero team for partnering with me on this post.
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Angelo Applewhite retweeted
Been busy over the last few days. Leveling up: from shipping SaaS to prototyping big ideas. Proof-of-concepts > perfection. Took a fusion reactor concept (inspired by MIT's ARC tokamak), built the 3D reactor using Nano Banana 2, and turned it into an interactive visualization. Goal: bring conceptual tech to life. @lovable made the slick frontend fast so I could iterate on the core vision. Ship often, learn constantly, evolve. Live now: ascent-source.lovable.app/ 🚀
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Angelo Applewhite retweeted
Over 9 months into my solo developer journey. I used AI to teach me. Not just to move faster, but to actually learn coding techniques, system design, architecture, logic wiring. And yes, spin up frontends that look good without the backend turning into a technical nightmare. I’ve built 4 projects so far. 1 broke, 2 are live and deployed now, Devus + Spark, and 1 is in progress, Chainhire. This has been one of the most frustrating, challenging, and rewarding things I’ve done. The live builds are in my link in bio. Ready for a lot more.
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Angelo Applewhite retweeted
X is a weird place sometimes. When I was breaking into the dev space, the loudest (and still loudest) noise was hating on “vibe coding.” Some devs clown builds because “they didn’t hand-write every line.” Months later, nothing’s changed. Senior dev says most human code he’s seen is trash. AI writes code cleaner, faster, and cheaper but the outrage still continues. It’s ego. Plain and simple. Ego says your value is in being the sole author. Reality says value is in shipping, learning, breaking shit, fixing it, and maybe teaching others. Even Linus Torvalds is vibe-coding parts of his hobby projects with AI these days. AI multiplies what you can do. It doesn’t replace owning the outcome. Builders keep building. Gatekeepers keep gatekeeping. What actually ships matters more than who typed the first draft.
I work as a software developer for ~20 years. Almost every “human-coded” codebase I worked with was shitty. Now AI writes code very fast, mostly very clean and cheaper comparing to human code. And, ironically, developers still don’t like AI code 😂
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Angelo Applewhite retweeted
So, Spark is completely free. Just as learning should be. I built it to help reclaim the concept of critical thinking and quickly adapt to different subject matters. Started in @Lovable , moved it to @cursor_ai, ironed out some backend logic and edge cases, fixed a few bugs, then pushed it back. Backend and auth is through @supabase Some screens below 👇🏾 Build access will be in comments.
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Angelo Applewhite retweeted
So, my latest build, Spark is now live and completely free. Because learning should be. Built the frontend entirely in @Lovable. Coded all backend logic (@supabase), edge cases, and security myself. Feel free to check it out 👇🏾 spark-microlearning.lovable.… Next project incoming soon...
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