🌲 Parse Trees

AST Construction, Syntax Analysis, Grammar Processing, Tree Transformations

Covers as a way of learning music and code
ntietz.com·1d
📝Compiler Design
Free Things Are Complicated (Especially the Sphere Spectrum!)
grossack.site·2d
🧮Algebraic Archives
You Might Not Need LangChain for Your Next AI App
shuvrojit.substack.com·2d·
Discuss: Substack
🌀Brotli Internals
I wrote 2000 LLM test cases so you don't have to: LLM feature compatibility grid
getkiln.ai·4h·
Discuss: Hacker News
🔍Concolic Testing
Categorizing Book Notes with AI
mieubrisse.substack.com·2d·
Discuss: Substack
🌀Brotli Internals
Forcing Myself to Vibe Code
kevinhighwater.com·1d·
Discuss: Hacker News
⚔️Lean Tactics
How to Build a Full AI Workflow Without Code or APIs
dev.to·8h·
Discuss: DEV
⚔️Lean Tactics
ACFIX: Guiding LLMs with Mined Common RBAC Practices for Context-Aware Repair of Access Control Vulnerabilities in Smart Contracts
arxiv.org·16h
✅Archive Fixity
Mining Voter Behaviour and Confidence: A Rule-Based Analysis of the 2022 U.S. Elections
arxiv.org·16h
🧠Machine Learning
A 27M-param model that solves hard Sudoku/mazes where LLMs fail, without CoT
github.com·6h·
Discuss: Hacker News
🎯Emulator Accuracy
Graphs over Chains - My LangGraph Journey (part-1)
dev.to·1d·
Discuss: DEV
🕸️Neo4j
Beyond the Migration: Optimizing Legacy Code for AI Performance & Scalability
dev.to·1d·
Discuss: DEV
🌊Streaming Systems
Python Fundamentals: case
dev.to·5d·
Discuss: DEV
✅Format Verification
Python Write JSON to File
dev.to·11h·
Discuss: DEV
📦Deflate
EduThink4AI: Translating Educational Critical Thinking into Multi-Agent LLM Systems
arxiv.org·16h
🔲Cellular Automata
How To Use PHP As A Backend While Using React For Frontend
hackernoon.com·8h
🧩WASM Components
A Beginner's Guide to Getting Started with Runnables in Langchain.
dev.to·3d·
Discuss: DEV
⚡Incremental Computation
Multi-Strategy Improved Snake Optimizer Accelerated CNN-LSTM-Attention-Adaboost for Trajectory Prediction
arxiv.org·16h
🤖Advanced OCR
TransEvalnia: Reasoning-based Evaluation and Ranking of Translations
arxiv.org·4d
⚙️Compression Benchmarking
Bottom-up Domain-specific Superintelligence: A Reliable Knowledge Graph is What We Need
arxiv.org·1d
🗺️Competency Maps