Alternatives
Products that do what English – The Hottest New Programming Language does
As we have all seen LLMs are pretty damn good at turning natural language to code, so why are we not writing programs in English? This an experiment in compiling english "programs" to python. It is half a meme and half serious.
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- 2PI
2015 · thesage21.github.io
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- 4WC
2019 · metacode.app
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Python dev to an NLP data scientist with practical projects
2022
- 6MC
Hey HN, I’ve spent the last 2 years watching my cousin in Morocco struggle to learn Python. Not because he lacked the brains, but because every tutorial assumed fluency in English. Every new term meant 10 tabs of Google Translate. Turns out, he’s not alone. 75% of the world’s population doesn’t speak English, yet 95% of coding resources are English. So we built FIKR: coding courses taught natively in French, Dutch and German (with more languages coming). Yeah, you can find a random YouTube video explaining Python in French or Arabic. But stitching those into a learning path? It doesn't get…
2025 · fikr.net
- 7AW
What do I mean by plain English? I mean there's no source code, no programming language. Just plain English "compiled" and CI/CDed into "production" at https://nie.avoguard.com/. Why did I build this? Just for fun. I wanted to see how close to a production-ready code can an LLM generate, and what would it take to actually take it into production. With today's technology, could an English speaker write a web server without knowing much about software engineering? See the "source plain English" for details of how detailed the instructions need to be to produce something…
2024 · github.com
- 8LA
2017 · github.com
- 9SB
2015 · spacy.io
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- 11EA
eno [1] - A modern plaintext language w/ libraries [2] for JavaScript, Python, Ruby & soon more! We migrated a big relational research database to a file-based solution - requirements were: - Super fast and easy editability for users - Highest performance for parsing/validating >10K documents on every user change. Our trials with YAML/TOML showed us that we wanted something both faster [3][4] and easier [4], something tailored for file-based content management ... and after months of research & development it's now publicly available (under MIT license) for everyone! Last but…
2018
- 12IA
Hi there. I'm working on a programming language -- called Ink - in my spare time, with a friend. It uses LLVM for the backend, the parser and lexer are both hand written in C. The project is just for a bit of fun, we aren't trying to "revolutionize the programming language", but we're okay with being a bit quirky and out of the box with some of the syntax/features in the language. At the moment, the language is in it's early stages, and there's still a lot to do, which means that if you want to learn more about compilers, now would be a good time to start working on the language, since…
2015
- 13MA
2020 · github.com
- 14CL
2018 · code4all.org
- 15LP
Hi! I am doing a learning project, attempting to build an imperative language (and interpreter). The end product will be useless for others, I just want to learn and better understand how to build imperative languages. :) If someone else shares this interest and want to give some good hints on good resources I would be grateful. Currently I am looking at an awesome text by Bob Nystrom. All suggestions and tips on resources are most welcome. I am very much a beginner in this, but I find this topic very fascinating. Mail me or post links here! Cheers! You can try a beta version Online at…
2020
- 16OS
Hi HN, we’re Dylan and Matthew, building sublingual (https://github.com/sublingual-ai/sublingual), an open-source LLM observability tool you can use with zero code changes. As developers focused on iterating and building features as fast as possible, we felt observability would’ve been a helpful tool to have, but we found existing solutions had too much overhead to set up. So we gave ourselves the challenge of building an observability tool that you can integrate without changing a single line of code in your project. How it works Run your python application as usual with…
2025 · github.com
- 17LL
https://github.com/wandwan/LPY (April Fools)
2024 · github.com
- 18PA
Hey HN! We just launched PromptL: a templating language built to simplify writing complex prompts for LLMs like GPT-4 and Claude. Why PromptL? Creating dynamic prompts for LLMs can get tricky, even with standardized APIs that use lists of messages and settings. While these formats are consistent, building complex interactions with custom logic or branching paths can quickly become repetitive and hard to manage as prompts grow. PromptL steps in to make this simple. It allows you to define and manage LLM conversations in a readable, single-file format, with support for control flow and…
2024 · promptl.ai
- 19LA
2018 · github.com
- 20SM
In past few weeks, I wrote several chapters to learn Scheme, a programming language of the Lisp dialect. The writing is not final as many chapters are missing. I wrote this because I wanted to improve my Scheme knowledge and increase the (low) number of Scheme literature. The writing is inspired by Calculus Made Easy, which I learned about here on HN. This is why I'm sharing it here. But keep in mind that my writing style is not as good as that in the above-mentioned inspiration. Feedback is very much appreciated.
2024 · schememadeeasy.com
- 21SA
I’m building Solnix, an experimental programming language as a learning + research project. It’s still early, and many design decisions (syntax, types, tooling) are intentionally not fixed yet. My goal right now is feedback, not promotion: What design mistakes should I watch out for? What usually makes new languages hard to adopt? What would you avoid if you were starting today? Repo & docs: https://solnix-lang.org/ I’d really appreciate honest criticism. Thanks for your time.
Feb 2026 · solnix-lang.org
- 22AA
An all-in-one blog for learning LLM ins and outs: tokenize, attention, PE, and more Project I've been diving deep into the internals of Large Language Models (LLMs) and started documenting my findings. My blog covers topics like: Tokenization techniques (e.g., BBPE) Attention mechanism (e.g. MHA, MQA, MLA) Positional encoding and extrapolation (e.g. RoPE, NTK-aware interpolation, YaRN) Architecture details of models like QWen, LLaMA Training methods including SFT and Reinforcement Learning If you're interested in the nuts and bolts of LLMs, feel free to check it out:…
2025 · comfyai.app
- 23PF
2020 · pythonexperienced.substack.com
- 24MO
2020 · github.com
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