KiNFiSH Farms
You know if you know about internal pointer variables. You are better than almost 80% backend devs
Leaving 20% as a tip for Linux kernel maintainers lol
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KiNFiSH's Discussions
U getting married ?
To whoever started the rumor that I’m engaged or married… (yes, it’s me it’s literally me )
Relax you’ll get the official trailer soon.
Relax you’ll get the official trailer soon.
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KiNFiSH Farms
To whoever started the rumor that I’m engaged or married… (yes, it’s me it’s literally me ) Relax you’ll get the official trailer soon.
If you're confused, don't worry about it. Even she doesn't know that she's engaged.
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KiNFiSH Farms
Today I’m opening the waitlist for farming-labs/docs, a managed infrastructure layer built for docs.farming-labs.dev and the broader feature set it’s growing into beating every other framework in most of the core metrics. we have got enterprise customer working…
the knowledge intellegence layer is almost there ( which was the hardest part ) this PR just generated by one button or on
git push.❤6⚡2
KiNFiSH Farms
the knowledge intellegence layer is almost there ( which was the hardest part ) this PR just generated by one button or on git push.
libraries and tools involved on this layer:
• ts-morph
For TypeScript code intelligence. It helps inspect exports, env vars, APIs, routes, and source structure using the TypeScript AST.
• tree-sitter
For multi-language parsing. Useful when the docs engine needs to understand more than ts and more of other languages as well.
• unified, remark-parse, remark-mdx
For Markdown and MDX parsing. These help split docs into meaningful sections instead of treating files as plain text.
• gray-matter
For reading MDX frontmatter like title, description, metadata, and page config.
• openai
For embeddings, reasoning, structured outputs, and AI-powered docs generation.
• pgvector
For storing embeddings in pg and powering semantic search across docs, code, and evidence chunks.
• MiniSearch or pg full-text search
For keyword search. Best results usually come from combining keyword search with vector search.
• promptfoo
For testing and evaluating AI outputs so the docs stay grounded, accurate, and useful.
• ts-morph
For TypeScript code intelligence. It helps inspect exports, env vars, APIs, routes, and source structure using the TypeScript AST.
• tree-sitter
For multi-language parsing. Useful when the docs engine needs to understand more than ts and more of other languages as well.
• unified, remark-parse, remark-mdx
For Markdown and MDX parsing. These help split docs into meaningful sections instead of treating files as plain text.
• gray-matter
For reading MDX frontmatter like title, description, metadata, and page config.
• openai
For embeddings, reasoning, structured outputs, and AI-powered docs generation.
• pgvector
For storing embeddings in pg and powering semantic search across docs, code, and evidence chunks.
• MiniSearch or pg full-text search
For keyword search. Best results usually come from combining keyword search with vector search.
• promptfoo
For testing and evaluating AI outputs so the docs stay grounded, accurate, and useful.
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KiNFiSH Farms
libraries and tools involved on this layer: • ts-morph For TypeScript code intelligence. It helps inspect exports, env vars, APIs, routes, and source structure using the TypeScript AST. • tree-sitter For multi-language parsing. Useful when the docs engine…
may be i will do a blog if i got a time on how does the pipeline really works like going from raw codebase to enriched docs that works on your choice of runtime.
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Forwarded from Morph & Beyond
The clipboard is probably the most-used, least-improved tool on any developer's machine. We copy constantly, API keys, kubectl commands, SQL snippets, config blocks and then the next copy wipes it all out. The workarounds are all duct tape: scratch files, pinned tabs, bloated markdown docs, clunky clipboard managers.
I wanted something better. A clipboard manager that's fast enough to be muscle memory, smart enough to find exactly what you need, private enough to hold secrets without a second thought, and structured enough to make copies re-usable. Everything stays on your machine. Everything is searchable. Every copy is a save and the tools you reach for daily are a couple keystrokes away.
So I built it. It's called Pasta. Open source, free, runs on macOS and Linux (tested on Fedora). I've been using it as my daily driver for about 3–4 months now and it's changed how I work. Give it a try.
https://pasta.yaf.et https://github.com/yafetgetachew/pasta
I wanted something better. A clipboard manager that's fast enough to be muscle memory, smart enough to find exactly what you need, private enough to hold secrets without a second thought, and structured enough to make copies re-usable. Everything stays on your machine. Everything is searchable. Every copy is a save and the tools you reach for daily are a couple keystrokes away.
So I built it. It's called Pasta. Open source, free, runs on macOS and Linux (tested on Fedora). I've been using it as my daily driver for about 3–4 months now and it's changed how I work. Give it a try.
https://pasta.yaf.et https://github.com/yafetgetachew/pasta
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we are coming for everyone as ai native documentations layer with a lot agent primitive @ docs.farming-labs.dev
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KiNFiSH Farms
Just saw a football field… was like maybe we should play one game designer vs developer ⚽️
Regarding this, we really need a pitch or field that can support 22 players. If anyone knows a place or someone who could help us out or even sponsor us. it would be greatly appreciated. You can DM me - @Kinfe123. We haven't settled on a date yet, but the match will be happening soon
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KiNFiSH Farms
Bought a domain and any guess on that 👀 Domain also works.
Any right guess and working url will get VIP pass for our recent frontend vs backend match.