Lead SWE & Solution Architect, enterprise, dotnet stack Building better API developer experience on Windows: @shipkarve

Nomading in Korea
When I’m not building enterprise CRUD apps, I’m building Karve - a native Windows API client built around plain .http files Give it a try. It’s good
Your API requests are just files. Your tool should treat them that way. We built Karve - a native Windows workspace for the .http files already sitting in your repos.
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instead of having set of keyboard shortcuts for effective and fast work we now have this...
Industrial software doesn’t have to feel like industrial software Manage warehouses like you’re playing a strategy game Built with Opus 5.5
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I do both
100% opposite. We only have unit tests.
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Super tired of Twitter lately All the crap, the fights, and the endless self-promotion I have zero desire to read any of it or participate in it honestly
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the good thing that after everyone start doing that shit, there would not be any more new viral videos to swap characters from
dead internet theory is real. you can actually create an AI character and get 200k followers in 1 week. please don’t buy a $299 course. > create a realistic character sheet > swap your character into viral videos if you’re skeptical, i’m gonna recreate these videos with people who comment.
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Can't stop winning on HN
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I'm so tired from this crap
.@sama says the advice to pick one thing to build and pour all your focus into it no longer applies. "The canonical advice that was correct two years ago was, 'Pick one, and put all your effort into it, because you can't build all 30 things.'" "You can now build all 30 things. And you can get people to use them all. And you can work more on the ones that work." "So I think this mindset of lots of ideas, quick feedback, and being open to a lot of things not working is great for this new era for how people build."
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I’ve realized that in the age of "we can do anything," you don't wish for things - you launch an agent and ask the magic box to do your bidding. So, after a pretty fair amount of compute, I built a sidecar that provides MCP access to a production SQLite database that I’m actually not afraid to use: github.com/xakpc/sqlite-mcp-…
Replying to @SebastianSzturo
I actually start every single app with SQLite The only thing I need is set of tools to easily backup it/work with it on server side
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I always use plan mode, read my plans, and spend a lot of time tinkering with them Not sure when it stopped being cool, but it works for me
Unpopular opinion: plan mode is still good and correct. Now that models are more powerful and do longer horizon work it's more important to be aligned up front. A dedicated plan artifact is easier to read and review than inline chat content.
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and this personal AI would be own by Meta btw
BREAKING: Zuckerberg just described the near-future of computing, and it has nothing to do with screens. His call: within 5 years, every person on Earth has a personal AI that knows their life, understands their goals, and does the work for them. Not a chatbot. Not a search box. An agent that is deeply, intimately embedded in how you live. When the person building the social layer for 3 billion people says this is where we're going, it's not a prediction. It's a roadmap. Is the personal AI agent the most valuable product anyone can build right now?
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I don't know man, as I see it, this narrative benefit only corpos and AI sellers I don't see how this benefits IC and this worry me most And I'm talking about writing code, reading code, being a programmer, not about using AI, AI is fine tool
It's pencils down, people. Writing code by hand is no longer an economically viable skill for most programmers at most companies. But the future of making software has never been brighter. Don't you dare black pill this beautiful moment! piped.video/vDjW_dRyKXY?si=6Fsf…
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If you don't build a metah-arness for meta-harnessess you are late
NEW VIDEO -----> this is my favorite meta-harness, the BEST way for your agents to talk to each other. It's called Paperclip. Any agent harness (Hermes, OpenClaw, Claude Code, Codex, Grok, LOCAL) can join your Paperclip company as EMPLOYEES and get real work done. I built an IT department with it. They solved my toilet problems. (video below) @papercliping @dotta
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I'm starting to hate this side of x-twitter with a pure, fiery passion
I am not picking on Ben, but the tweet is something many glorify as a badge of honor. Ask me how I know. There is no glory or wisdom in this. Quit. Do something that works quicker. Success is not a hard thing to crack. If it doesn’t flow, it’s a grind. A rut. Hollywood movies and PR stories of successful people make us believe that things have to be hard, and one day, after working really hard, you will make it. Real life is not like this. Success is easy. If it’s not, you’re wasting time on the wrong thing.
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Talking about why non-deterministic software is crap and won't replace anything Why is ChatGPT drawing me a clock here? Did I ask for a clock? No. Do I need a clock? No. Is a clock useful to me at all? No.
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Yes, E2E testing is a must have skill now. Also lock it from AI agent, they like to bent it to fit the code
If you want to stay employed in a world of agentic dev AI, you better learn the jobs and outs of testing. E2E, integration, unit, mutation, fuzzy, static analysis. In AI-enabled codebases of any meaningful size, these just moved from “nice-to-have“ to “absolutely critical.”
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Pavel Osadchuk retweeted
What a strange time to be a software engineer.
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I like @dhh, but I think this is peak AI psychosis
"I love Rust! Rust is amazing ...if you never, ever, EVER have to look at it yourself." — @dhh
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No it was always about making money. As soon as developers aren't needed in the loop, they'll be removed so, while it might be controversial, it's in our collective interest to ensure developers remain necessary for making money
People don’t realize it was ALWAYS about shipping. Now we can just do it faster without having 100 annoying conversations first.
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Just one engineer and a team of agents ported the GitHub Copilot agent runtime to Rust, shipping 800,000 lines of production code while retaining code quality. 🚀 How it worked 👇 github.blog/ai-and-ml/genera…
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