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Alternatives

Products that do what Resrap – A Parser but in Reverse does

I built Resrap, a Go package that takes a grammar in ABNF format and generates infinitely long sequences of syntactically correct code...either completely randomly or with seeds for a deterministic generation. ABNF is a modified version of EBNF(https://en.wikipedia.org/wiki/Extended_Backus%E2%80%93Naur_f...) I made for this project, basically means you can specify when generating code 20% of lines will be if{} blocks and 50% will be while{} blocks which allows for more natural code generation, plus support for infinite generation of code. It’s very fast...it generated ~40…

  1. 1UP
  2. 2HT

    2017 · craftinginterpreters.com

  3. 3SA

    * https://sparser.io * https://github.com/Unibeautify/sparser This is my attempt at creating a universal language parser. It attempts to solve a couple of problems: * Support multiple languages * Recursively extend support to languages embedded within other languages * Output a uniform format for all supported languages This is a personal project so any feedback would be helpful. Something interesting I found after I built it is that this parser is not as fast to write output as many other JavaScript parsers, but its output is much faster to read from due to the…

    2019

  4. 4IW

    My book titled "Python re(gex)?" is free to download through this weekend [1][2] The book covers both 're' and 'regex' modules, has plenty of examples and chapters also have cheatsheets and exercises. Code snippets, exercises, sample chapters, etc are available on GitHub repo [3] I used pandoc+xelatex [4] to generate the pdf. [1] https://gumroad.com/l/py_regex [2] https://leanpub.com/py_regex [3] https://github.com/learnbyexample/py_regular_expressions [4]…

    2019

  5. 5

    Generate 100% accurate code. Any framework, any language

    2023

  6. 6

    Regex syntax and resources to power up your programming

    2021

  7. 7AD

    2021 · tech.nextroll.com

  8. 8AC
  9. 9AS
  10. 10RA

    I wanted to have a framework that would let me build web apps faster than ever before. I didn’t care if it was a little hacky or didn’t use best practices — I wanted to be able to get a multi-user application out the door in hours instead of months. I researched the CMS space for months before deciding to build something from scratch. My goal was to be 90% done building a web app once I had the static HTML and CSS finished. I’m not a big fan of building out API endpoints over and over again for every new app, fiddling with a database, or doing lots of config. What I ended up with was a…

    2020

  11. 11AL

    Antilisp is a Lisp designed for code generation in non-lisp languages. The interpreter is written in RPython, and the language is designed for easy adoption by non-lispers. The project is still young, but the language can be played with if you don't mind missing some important features like modules and pattern matching. I have not published the source code yet, because I am not completely sure how to base a sustainable business on this project and I don't want to risk having to rugpull after raising expectations.

    2025 · antilisp.com

  12. 12AC
  13. 13FT

    After six months of work, I am here again presenting Fluent – a tiny lang which is optimized for differentiable & reactive programming. Since I am not Conal Elliot, don't expect a beautiful theoretical unification of FRP and AD from first principles. Rather, a horrific monster that holds together mostly because a lot of duct-tape. The link points to the semi-interactive tour of the language, which will get the job done much better than I could in here. Hope you hate/like it!

    Jul 2026 · mlajtos.github.io

  14. 14LR

    I just noticed it takes literally ~5 minutes to train millions parameters on slow CPU...but before you call Yudkowsky that "it's over", an important note: the main bottleneck is the corpus size, params are just 'cleverness' but given limited info it's powerless. Anyway, here is the project: https://github.com/bggb7781-collab/lrnnsmdds/tree/main couple of notes: 1. single C file, no dependencies. Below are literally all the "dependencies", not even custom header (copy paste from the top of the single c file): #define _POSIX_C_SOURCE 200809L #include #include…

    Apr 2026 · raw.githubusercontent.com

  15. 15IB

    Lox is a parser and lexer generator for Go. Heavily inspired on ANTLR on the surface (combined parser and lexer, action code separated from grammar), but more similar to yacc on the internals (LR(1), dependency-free parser). I'm especially proud of the type-safe Go action generation where the reduce-artifact's Go type is determined by the user-action's return type, and then used to match and verify its use in other productions.

    2025 · dcaiafa.github.io

  16. 16FI

    Hi all! I built FlipJump, a programming language with just 1 opcode, yet capable of any computation. It started with thinking of the idea of the minimalistic language, but it's more than that - I had to set up the whole environment for it: I have written a macro-assembler, an interpreter for the binary, and a very extensive standard library. I also written about ~30 programs in it. Also, the standard library is tested. I also wrote an esolangs page: https://esolangs.org/wiki/FlipJump Tell me what you think!

    2023 · github.com

  17. 17NT

    I built a CLI tool that turns codebases and PRs into diagrams so you can quickly understand how things fit together. Originally made it because I couldn't follow my own AI-generated repos. Just shipped a big update: - Switched from D2 to Mermaid for rendering - Tree-sitter AST parsing + agentic flow instead of raw LLM calls. ~50x faster. - Works on any GitHub repo or PR, not just local - Dropped the web frontend, it's just a CLI now - Published as a pip package Still a ton to improve and I'm building fast. Feedback, issues, PRs all welcome.

    Feb 2026 · github.com

  18. 18GR

    Hi everyone, wanted to share about gline-rs, an inference engine for GLiNER models written in Rust. This family of lightweight language models proved to be efficient at zero-shot Named Entity Recognition (NER) and other tasks such as Relation Extraction, while consuming less resources than large generative models (LLMs). This implementation has been written from the ground up in Rust, and supports both span- and token-oriented variants (for inference only). The goal is to provide a production-grade and user-friendly API in a modern and safe programming language, including a clean and…

    2025 · github.com

  19. 19AC

    For the past couple of months, I’ve been building a tool that enables natural language search over large codebases using Tree-Sitter for syntax parsing and Qdrant for vector-based retrieval. https://app.repogram.com ### How It Works - Tree-Sitter is used to parse syntax trees and extract high-quality vector embeddings of code. - These embeddings are stored in Qdrant, enabling fast similarity search across your entire repo. - A combination of re-ranking processes refine search results, producing highly relevant answers to code-related questions. The results have been incredibly…

    2025 · app.repogram.com

  20. 20BY

    Much of the complexity surrounding building no-code editors come from architecting the state management system to power such editors: how can we allow end-users to create and edit entire UI components directly from the browser? Reka solves this by providing an AST-powered state system that enables end-users to create UI components that are nearly as complex as ones that developers could write in code; along with an interpreter to efficiently compute an output that could be rendered on the browser. Furthermore, Reka provides additional extensions, such as enabling real-time collaboration via…

    2023 · reka.js.org

  21. 21PR

    Hi HN, While building RAG agents, I noticed a lot of token budget was wasted on formatting overhead (HTML tags, JSON structure, whitespace). Existing solutions felt too heavy (often requiring torch&#x2F;transformers), so I wrote this lightweight, zero-dependency library to solve it. It includes strategies for context packing, PII redaction, and tool output compression. Benchmarks show it can save ~15% of tokens with negligible latency overhead (<0.5ms). Happy to answer any questions!

    Dec 2025 · github.com

  22. 22AA

    I’ve had this idea for a new code editor chord grammar bouncing around in my head for over 2 years, and now I can finally release v0.1 of ane. You can run it one-shot from scripts or agents (`ane exec —chord…`) or use its full-on TUI editor. ane is pure Rust, and integrates tree-sitter and LSP to provide a pleasant and predictable terminal code editing experience. I’d love folks to try it out and give feedback! Thanks :)

    May 2026 · github.com

  23. 23GA

    hi hn, today I'm open sourcing a new SQL-like query language that's built for the web. it has dedicated syntax for request, parsers, selectors, and javascript snippets... it was built on nodejs with the incredible moo lexer and nearley parser. if you're a fan of regular expressions, do I have some code to show you! the website is mostly just a few examples and a playground where you can write & run (& share!) your own queries. there's also an introductory blog post where i try but ultimately fail to justify why this should be its own language and not a library&#x2F;framework. enjoy!

    2024 · getlang.dev

  24. 24SG

    Hi HN, I built NOMA (Neural-Oriented Machine Architecture), a systems language where reverse-mode autodiff is a compiler pass (lowered to LLVM IR). My goal is to treat model parameters as explicit, growable memory buffers. Since NOMA compiles to standalone native binaries (no Python runtime), it allows using realloc on weights mid-training. This makes "self-growing" architectures a system primitive rather than a complex framework hack. I just pushed a reproducible benchmark (Self-Growing XOR) to validate the methodology: it compares NOMA against PyTorch and C++, specifically testing how…

    Dec 2025 · github.com

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