Alternatives
Products that do what Lamina – A compiler backend that is not LLVM or Cranelift does
Recently, I've been working on Lamina, a compiler infrastructure that generates native assembly for multiple architectures without relying on LLVM or Cranelift. It's designed for building compilers for new languages, educational projects, and any projects that can utilize a custom syntax of code generation. Instead of depending on external backends, Lamina provides a complete pipeline from a single SSA based IR directly to the supported target's assembly generation. The IR is readable, also provides a IRBuilder API that is easy to use via programmatic construction. For better management of…
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Hey HN, we’re Robert, Din and Temirlan from Laminar (https://www.lmnr.ai), an open-source observability and analytics platform for complex LLM apps. It’s designed to be fast, reliable, and scalable. The stack is RabbitMQ for message queues, Postgres for storage, Clickhouse for analytics, Qdrant for semantic search - all powered by Rust. How is Laminar different from the swarm of other “LLM observability” platforms? On the observability part, we’re focused on handling full execution traces, not just LLM calls. We built a Rust ingestor for OpenTelemetry (Otel) spans with GenAI…
2024 · github.com
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I've been playing around with https://github.com/zphang/minimal-llama/ and https://github.com/tloen/alpaca-lora/blob/main/finetune.py, and wanted to create a simple UI where you can just paste text, tweak the parameters, and finetune the model quickly using a modern GPU. To prepare the data, simply separate your text with two blank lines. There's an inference tab, so you can test how the tuned model behaves. This is my first foray into the world of LLM finetuning, Python, Torch, Transformers, LoRA, PEFT, and Gradio. Enjoy!
2023 · github.com
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Hi HN, clx is an ahead-of-time compiler for standard Lua that generates C++20 and produces standalone native executables through GCC, Clang or MSVC. The project started as an experiment to see whether modern C++ could be used as a portable compiler backend instead of LLVM or direct machine code generation. The generated code is then compiled and optimized by the host toolchain. The latest release replaces the previous NaN-tagged value representation with a new shadow-types implementation, adds full int64 support, improves native arithmetic code generation and adds ARM64 macOS coroutine…
Jul 2026 · github.com
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Repo: https://github.com/valdanylchuk/xcc700 Hi Everyone! I just wrote my first compiler! - single pass, recursive descent, direct emission - generates REL ELF binaries, runnable using ESP-IDF elf_loader - very basic features only, just enough for self-hosting - treats the Xtensa CPU as a stack machine for simplicity, no register allocation / window usage - compilable on Mac, probably also Linux, can cross-compile for esp32 there - wrote for fun / cyberdeck project Sample output from esp32: xcc700.elf xcc700.c -o /d/cc.elf [ xcc700 ] BUILD COMPLETED >…
Dec 2025 · github.com
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I think graph is a wrong abstraction for building AI agents. Just look at how incredibly hard it is to make routing using LangGraph - conditional edges are a mess. I built Laminar Flow to solve a common frustration with traditional workflow engines - the rigid need to predefine all node connections. Instead of static DAGs, Flow uses a dynamic task queue system that lets workflows evolve at runtime. Flow is built on 3 core principles: * Concurrent Execution - Tasks run in parallel automatically * Dynamic Scheduling - Tasks can schedule new tasks at runtime * Smart Dependencies - Tasks can…
2024 · github.com
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2022 · gist.github.com
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As a personal project I wrote a really tiny Wat 2 Wasm compiler in Go. Mainly for demonstrative and educational purposes. It was tough: I didn't know anything about WebAssembly internals and I'm a newbie with Go... so I tried to document it as much as I could for anyone that would like to approach the quest in the future! It misses a lot of features (that will be gradually implemented). Any feedback is welcomed!! Demo: https://luna-demo.vercel.app
2022 · github.com
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I'm the lead developer of Otterkit. We've been working on this compiler for the past few months. The goal is to support the latest COBOL 2022 standard and compile it to C# (will support nativeAOT as well) Currently most of the work is being done on the parsing side of it to ensure that it can correctly parse all of the 2022 standard. We're almost done writing the parser, and will soon move to the codegen and runtime library. Please let me know what your opinion is on the project. I'll be here to answer any questions about it. We're also looking for contributors if anyone is interested in…
2023 · github.com
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Hi HN, I'm the creator of Mach (https://github.com/octalide/mach or https://machlang.org). Two days ago, we finally achieved full self hosting. I wanted to make a post here to show off the language since this is a big milestone for us. ## TL;DR about the language for those curious: - There are no external dependencies anywhere in the pipeline. This includes LLVM, libc bindings, or anything of the sort (save for the historical bootstrap compiler, which requires any C compiler and has been phased out completely). - Mach is extremely opinionated and very…
Jun 2026 · github.com
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This is a hobby project of mine that I started a few years ago to learn about programming language implementation. It was created 95% without AI, although a few recent commits include code from Gemini CLI. I started out following Crafting Interpreters, but gradually branched off that until I had almost nothing left in common. Tech stack: Rust, Cranelift (JIT compilation), LALRPOP (parser). Original title: "A small programming language where everything is a value" (edited based on comments)
Jan 2026 · github.com
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Hello, I'm building a WebAssembly compiler and documenting the process in the meantime. This aims to be a tool for demonstration and education purpose. It doesn't aim to do fancy stuff nor to replace existing ones. I'm building this to learn and to improve and hopefully it can be useful for others as well :) From last time I've presented the idea, I've implemented more basic features on Luna and I've built a custom and tiny runtime for Luna! (documenting it of course). Any feedback is really appreciated :) Repo: https://github.com/thomscoder/luna
2022 · luna-demo.vercel.app
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G'day, HN! I'm one of the maintainers of `llm`. I've been working alongside a trusty group of contributors to bring this project to life, and we're now at a point where we're ready to share it with the world. Large language models (LLMs) are taking the computing world by storm due to their emergent abilities that allow them to perform a wide variety of tasks, including translation, summarization, code generation, and even some degree of reasoning. However, the ecosystem around LLMs is still in its infancy, and it can be difficult to get started with these models. `llm` is a one-stop shop for…
2023 · github.com
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Hi HN community, I have been working on benchmarking publicly available LLMs these past couple of weeks. More precisely, I am interested on the finetuning piece since a lot of businesses are starting to entertain the idea of self-hosting LLMs trained on their proprietary data rather than relying on third party APIs. To this point, I am tracking the following 4 pillars of evaluation that businesses are typically look into: - Performance - Time to train an LLM - Cost to train an LLM - Inference (throughput / latency / cost per token) For each LLM, my aim is to benchmark them for…
2023 · github.com
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We developed a new framework that enables flexible control of generated text in language models. By combining several models and/or system prompts in one mathematical formula, it lets you tweak your style and combine model outputs with ease. A handy tool for those working with LLMs, looking for more fine-grained control of stylistic output. More details in our paper: https://arxiv.org/abs/2311.14479. Feedback and potential applications are welcome.
2023 · github.com
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This repo is the result of a debate about what kind of programming language might be appropriate if humans are no longer the primary authors. Initially the thought was "LLMs can just generate binaries directly" (this was before a more famous person had the same idea). But that on reflection seems like a bad approach because languages exist to capture program semantics that are elided by translation to machine code. The next step was to wonder if an existing "machine readable" program representation can be the target for LLM code generation. It turns out yes. This project is the result of…
Mar 2026 · github.com
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Current AI-assisted CLI tools are often part of larger systems and work better on Linux. I built llm-term to address these. It's a Rust-based tool that compiles into a single binary file. You only need to download the binary, add it to your PATH, and configure your OpenAI key to get started. While llm-term offers an option for gpt-4o, it works great with gpt-4o-mini. So it's not costly. I appreciate any feedback or suggestions.
2024 · github.com
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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
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Jul 2026 · github.com
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Hey HN! After using a combination of Unsloth and Axolotl a lot, and finding it generally painful to figure out the right performance tuning for things like batch sizing and multi-GPU sharding, I wrote a small Python lib that sets up known-good LoRA training configurations for Llama 3.1 8B and 70B Instruct, and includes helpers for distilling from larger models or training on serverless finetuning platforms, and includes a walkthrough for distilling DeepSeek-R1 into a Llama 3.1 8B LoRA... But you can use it for pretty much any finetuning task, not just distilling large models!
2025 · github.com
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2024 · github.com
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Unobin is a language and compiler for Infrastructure as Code (IaC). IaC source is written and compiled to a binary, called a factory. The factory includes the runtime and all dependencies. To run a factory, pass it a configuration called a stack file that defines backend state and factory inputs. The stack file can only contain configuration, not arbitrary code. Factories can also display a UI in a browser showing progress (animated screenshot in the docs).
Jun 2026 · cloudboss.co
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For the past few months I've been building a lot of things with LLMs (GPT-3, Codex, etc.) as I've been trying to push them to their limits (especially towards applying them to the tabular data domain) When working on this, I've found there are some common patterns for solving problems (templating, chaining, functional-programming style operations, etc.) As I've iterated, I've come to believe that a functional style interface is likely going to power a new wave of systems I'm calling "prompt-machines"(systems where the core new unit of work is a "named" LLM prompt, extending the "function"…
2022 · github.com
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I've worked on several projects writing and implementing specifications (particularly CLN): I've found the specs I write are much better when I quote them in the implementation, so I can see what implementers need to know. Also, when specs change in development, it's almost trivial to find where to update the code. This project is a formalization of my various hacky scripts which ensure the requirements are accurately quoted, and give coverage if any are missing. Not a major Opus, but I hope someone else finds it useful!
Jul 2026 · greatspectations.org
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