✅ Type Checking

Bidirectional Checking, Local Inference, Error Messages, Type Elaboration

Protovalidate Is Now v1.0
buf.build·2d·
Discuss: Hacker News
✅Configuration Validation
🎲 Python to Bootstrap OpenShift Gitops
stephennimmo.com·2d
🚂Cranelift Backend
Really simple book and beans
scripting.com·5h
📝Rope Editors
Legal Codes and Artificial Intelligence
isonomiaquarterly.com·5h·
Discuss: Hacker News
🔗Concatenative Theory
Dawn of the Self-Building A.I
puck.news·23h·
Discuss: Hacker News
🎯Finite Automata
original ↗
blog.djnavarro.net·4d
📝Rope Editors
Is Recursion in LLMs a Path to Efficiency and Quality?
pub.towardsai.net·2d
🪜Recursive Descent
Hive Mind: How Sensor Fusion and AI Can Save the Bees by Arvind Sundararajan
dev.to·9h·
Discuss: DEV
🔬Nanopasses
Intelligent Reservoir Decision Support: An Integrated Framework Combining Large Language Models, Advanced Prompt Engineering, and Multimodal Data Fusion for Rea...
arxiv.org·2d
📈Earley Parsing
Unlock LLM Superpowers: Zero-Shot Graph Reasoning for Unprecedented Problem Solving
dev.to·20h·
Discuss: DEV
🔗Graph Rewriting
Introducing ts-base: A Modern TypeScript Library Template
dev.to·23h·
Discuss: DEV
📦Monorepos
FACTORS: Factorial Approximation for Complementary Two-factor Optimization with Risk-aware Scoring
arxiv.org·2d
✨Effect Inference
Efficient Cold-Start Recommendation via BPE Token-Level Embedding Initialization with LLM
arxiv.org·1d
📊LR Parsing
LangChain, LangGraph, and LangSmith: Untangling the Confusion
dev.to·3d·
Discuss: DEV
🌊Dataflow Languages
The Rise of AI Code Generators: How Artificial Intelligence is Transforming Software Development
dev.to·1d·
Discuss: DEV
🏺Code Archeology
Quantifying Market Inefficiency via Proprietary Sentiment-Driven Portfolio Rebalancing
dev.to·16h·
Discuss: DEV
🚂Error Propagation
Best Practices for Code Reviews: A Comprehensive Guide
dev.to·1d·
Discuss: DEV
🎮Language Ergonomics
Decoding the Dialogue: Unveiling Ambiguity Neurons in Large Language Models by Arvind Sundararajan
dev.to·11h·
Discuss: DEV
🔍Parsing Algorithms
Show HN: SandBox – AI agents simulating possible futures
github.com·2h·
Discuss: Hacker News
🏛️Elm Architecture
Clarifying Model Transparency: Interpretability versus Explainability in Deep Learning with MNIST and IMDB Examples
arxiv.org·2d
🌱Minimal ML