🧪 Minicompilers

Educational Compilers, Toy Languages, Learning Implementation, Minimal Design

Improving Emacs' iCalendar Support
recursewithless.net·7h·
Discuss: Hacker News
⚡Incremental Parsing
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On This Dayin Math - November 2
pballew.blogspot.com·23h·
Discuss: www.blogger.com
📐Mathematical Computing
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Microsoft C++ Team at CppCon 2025: Trip Report
devblogs.microsoft.com·2d·
Discuss: Hacker News, r/cpp
🐛Interactive Debuggers
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C3 0.7.7 Vector ABI changes, RISC-V improvements and more
reddit.com·2d·
Discuss: r/programming
🧸Toy Compilers
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Building a Prompt Engineering Toolkit for Developers
amzn.to·1d·
Discuss: DEV
📚Self-Documenting Code
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Protest: An ergonomic, powerful, and feature-rich property testing library with minimal boilerplate.
reddit.com·1d·
Discuss: r/rust
🔒Rust Borrowing
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Unleash Code Power: Graph-Based AI for Smarter Code Generation by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
🎭Program Synthesis
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**Microfrontend Architecture: Essential JavaScript Techniques for Building Scalable Distributed Applications**
dev.to·4h·
Discuss: DEV
🥾Bootstrapping Strategies
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Type inference with TryFrom and ()
reddit.com·14h·
Discuss: r/rust
🛡️Error Handling
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Open Source Journey
dev.to·1d·
Discuss: DEV
📚Self-Documenting Code
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A portable picokernel for async I/O
ryansepassi.com·2d·
Discuss: Hacker News
🤖Embedded Go
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Reflection for Aggregates (2020)
akrzemi1.wordpress.com·2d·
Discuss: Lobsters, Hacker News
🗂️Type Indexing
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Speedrunning an RL Environment
sidb.in·1d·
Discuss: Hacker News
✨Gleam
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A toy model of corrigibility
lesswrong.com·9h
🚂Error Propagation
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ParallelBench: Understanding the Trade-offs of Parallel Decoding in DiffusionLLMs
dev.to·8h·
Discuss: DEV
⚡Tokenizer Optimization
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Issue 496
haskellweekly.news·3d
👑Dependent Haskell
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Smaller Surfaces
nrempel.com·1d·
Discuss: Hacker News
🥾Bootstrapping Strategies
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How I Use Every Claude Code Feature
blog.sshh.io·1d·
Discuss: Lobsters, Hacker News
🎯99-Line Tools
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AI-Driven Biomarker Discovery for Accelerated Orphan Drug Development
dev.to·1h·
Discuss: DEV
✨Effect Inference
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PORTool: Tool-Use LLM Training with Rewarded Tree
arxiv.org·3d
🪜Recursive Descent
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