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🧪 Property-Based Testing

QuickCheck, Input Generation, Hypothesis Testing, Test Refinement

Reactive Java Operator-fusion (2016)
akarnokd.blogspot.com·3d·
Discuss: Hacker News
✨Algebraic Effects
Hyperpb: 10x faster dynamic Protobuf parsing in Go
buf.build·2d·
Discuss: Hacker News
📋Protocol Buffers
Say No to Gnulib
rgbcu.be·10h·
Discuss: Hacker News
❄️Nixpkgs
Show HN: Tanu – High-performance WebAPI testing framework for Rust
github.com·3d·
Discuss: Hacker News
🦀Rust Borrowing
I Used Arch, BTW: macOS, Day 1
yberreby.com·7h·
Discuss: Hacker News
🖥️Vintage Macintosh
What's an ORM? (Your Database Translator!) 🗣️
dev.to·14h·
Discuss: DEV
🗄️Database Internals
How to actually use Model Context Protocol
seangoedecke.com·3d·
Discuss: Hacker News
⚡Proof Automation
Context Engineering for AI Agents: Key Lessons from Manus
dev.to·22h·
Discuss: DEV
🏗️Compiler Archaeology
Day 33/100: Counter, defaultdict, and OrderedDict in Python
dev.to·17h·
Discuss: DEV
📝Concrete Syntax
Producing Uncompressed PNG Files
nigeltao.github.io·1d·
Discuss: Hacker News
📦Deflate
🚀 Introducing SyntaxRush: A Terminal-Based Code Typing Game for Developers
dev.to·10h·
Discuss: DEV
🌳Incremental Parsing
The Architecture of Open Source Applications (Volume 1) Battle for Wesnoth
aosabook.org·2d·
Discuss: Hacker News
🔒WASM Capabilities
sync.Once — Go's simple pattern for safe one-time execution.
dev.to·2d·
Discuss: DEV
🔄Lens Laws
Comparing Claude Code vs OpenCode (and testing different models)
andreagrandi.it·3d·
Discuss: Hacker News
📜Proof Carrying Code
I Spent 40 Hours Writing Tests That Broke in 2 Weeks — A Confession Story
dev.to·2d·
Discuss: DEV
🔍Concolic Testing
Python Fundamentals: build
dev.to·4d·
Discuss: DEV
🔄Reproducible Builds
Python Fundamentals: celery
dev.to·19h·
Discuss: DEV
🌀Brotli Internals
Need help with Software solution and checking if I made a mistake or oversight in my build
reddit.com·19h·
Discuss: r/homelab
🔌Operating system internals
Seven Years in Tech Taught Me This: Low-Code Is a Power Tool, Not a Magic Wand
hackernoon.com·1d
📏Code Metrics
From Novelty to Imitation: Self-Distilled Rewards for Offline Reinforcement Learning
arxiv.org·2d
📊Learned Metrics
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