John Raymon @johnraymonm
Try this daily puzzle game I built? https://t.co/pdMHVPZQkJ Software Developer prev. @BranchInsurance @sanctucompu @commercejs updates.johnraymon.com Florida Joined August 2013-
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I don’t use loops, skills, fancy orchestration, plugins or anything like that. I raw dog the agent with its default harness, I read the code, and I’m shipping more than ever to production for real projects used by real people. Sometimes if it’s a low risk part of the application I might skip reading the code but only sometimes. I think most are either lying about the amount of value they are creating or just having fun while understanding they aren’t creating value but failing to distinguish that to their audience.
I still don't buy the idea to delegate all work on their own, inside of interaction with AI I'm the creator and visioner of the idea, can't just delegate all work as engineer I need to write spec at least read them just to make sure final idea is what written there, maaaybe after that we can delegate implementation to ai
@brian_armstrong Reminds me of what Steve Jobs said in his Stanford commencement speech "you can't connect the dots looking forward; you can only connect them looking backwards. So you have to trust that the dots will somehow connect in your future."
The older you get, the more you realize luck is just exposure. If you sit in the same chair, same routine, talking to same people… nothing new happens. You have to touch the world to win. • Talk to strangers • try a new coffee spot • post on social • Start a side hustle The world rewards motion. You don’t find opportunity sitting still. You bump into it.
Why are mostly the top replies on a tweet from verified BOT users? This used to be the one of the best parts of Twitter.
OpenAI published a repo with the code to orchestrate AI agents built primarily with Elixir (96.1%): github.com/openai/symphony. While explaining why they chose Elixir, they say that - It is great for supervising long-running processes - It has an active ecosystem of tools and libraries - It supports hot code reloading without stopping actively running subagents, which is very useful during development. Amazing news for the Elixir community; I hope even more people will appreciate how amazing Elixir is for agentic AI systems. #myelixirstatus
After hearing from developers building with AI agents, we expanded access to our API. Since then, programmatic card creation on our platform has exploded.
You know what this needs? An event bus You know what this needs? A hard boundary at the network layer between "services" The footgun is almost always adding N+1 stateful services because someone says "it's more scalable"
It's sad that we promote and encourage complexity in the tech industry I'd love to see more of a push towards simple solutions to problems
everybody on your timeline is lying to you about OpenClaw I started using it pretty much the first week it came out, and I was impressed and went deep into the rabbit hole its not the 24/7 AI agent that everyone is making it seem like, not even close if you need to build a website or code something, just use Claude Code or Codex directly. if you need to generate images, go straight to Nano Banana or Higgsfield. Using OpenClaw for these things is like taking a detour through 5 cities to get to the house next door the people telling you "just install OpenClaw and let it run your business" are either lying to you or havent actually used it for more than a demo it breaks constantly. it forgets context. it takes 10x longer than just using the right tool for the job. the experience right now is clunky and inefficient for most real workflows does that mean its useless? no. I still use it. I think once the context memory problem gets solved this thing is going to be legitimately powerful because the foundation is there but we're not there yet and pretending we are just so you can get engagement is doing a disservice to people who actually want to learn how to use AI properly use it. practice with it. get familiar with it early. but dont throw away the tools that actually work right now just because some guy told you OpenClaw replaces everything soon.
Figma shipped a silent patch specifically to kill figma-use — my open-source tool that did what they wouldn't: an MCP server that creates and modifies designs, JSX export, design linting. Then they scrambled to catch up with their own MCP server. So I spent the weekend recreating @Figma from scratch. OpenPencil: reads and writes .fig files, AI chat with full design tools, P2P collaboration with zero servers, ~7 MB app. No account, no subscription. Three days, one developer, MIT license. openpencil.dev
It is hard to communicate how much programming has changed due to AI in the last 2 months: not gradually and over time in the "progress as usual" way, but specifically this last December. There are a number of asterisks but imo coding agents basically didn’t work before December and basically work since - the models have significantly higher quality, long-term coherence and tenacity and they can power through large and long tasks, well past enough that it is extremely disruptive to the default programming workflow. Just to give an example, over the weekend I was building a local video analysis dashboard for the cameras of my home so I wrote: “Here is the local IP and username/password of my DGX Spark. Log in, set up ssh keys, set up vLLM, download and bench Qwen3-VL, set up a server endpoint to inference videos, a basic web ui dashboard, test everything, set it up with systemd, record memory notes for yourself and write up a markdown report for me”. The agent went off for ~30 minutes, ran into multiple issues, researched solutions online, resolved them one by one, wrote the code, tested it, debugged it, set up the services, and came back with the report and it was just done. I didn’t touch anything. All of this could easily have been a weekend project just 3 months ago but today it’s something you kick off and forget about for 30 minutes. As a result, programming is becoming unrecognizable. You’re not typing computer code into an editor like the way things were since computers were invented, that era is over. You're spinning up AI agents, giving them tasks *in English* and managing and reviewing their work in parallel. The biggest prize is in figuring out how you can keep ascending the layers of abstraction to set up long-running orchestrator Claws with all of the right tools, memory and instructions that productively manage multiple parallel Code instances for you. The leverage achievable via top tier "agentic engineering" feels very high right now. It’s not perfect, it needs high-level direction, judgement, taste, oversight, iteration and hints and ideas. It works a lot better in some scenarios than others (e.g. especially for tasks that are well-specified and where you can verify/test functionality). The key is to build intuition to decompose the task just right to hand off the parts that work and help out around the edges. But imo, this is nowhere near "business as usual" time in software.
@mattpocockuk been noticing this too. treating the AI like a junior dev you're reviewing makes way more sense than expecting it to just know what you want the feedback loop thing is huge, same muscle as code reviews but faster iterations
@13_thirteenn Agreed. I'm reading C++ standards and design philosophy again because I have so much extra brainspace. I get to learn about the fun fiddly bits while claude does the boring stuff.
Out of every example they could’ve chosen, they went with DoorDash? The barrier to entry for launching a delivery app is not and has never been software, it’s distribution, restaurant adoption, user adoption Who is believing this stuff
JUNE 2028. The S&P is down 38% from its highs. Unemployment just printed 10.2%. Private credit is unraveling. Prime mortgages are cracking. AI didn’t disappoint. It exceeded every expectation. What happened? citriniresearch.com/p/2028gic
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