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blog.ploeh.dkยท1d
๐Ÿš€Code Motion
How we trained an ML model to detect DLL hijacking
securelist.comยท1d
๐Ÿท๏ธMemory Tagging
๐Ÿ’Ž Day 5 of 30 Days of Solidity โ€” Build a Treasure Chest Contract
github.comยท1dยท
Discuss: DEV
๐Ÿ”€SSA Form
Case Study: Building a Component Library
uxpin.comยท20h
๐ŸŽฎLanguage Ergonomics
MathArena Apex: Unconquered Final-Answer Problems
matharena.aiยท2dยท
Discuss: Hacker News
๐ŸงฉConstraint Solvers
Full code to build your own AI agent with Python
thenewaiorder.substack.comยท23hยท
Discuss: Substack
๐Ÿ—ƒ๏ธQuery Compilation
Automated code reviews via mutation testing
github.comยท11hยท
Discuss: Hacker News
๐ŸŽฒTest Generators
Tired of Juggling Multiple Projects? I Built a Framework to Automate It All.
dev.toยท6hยท
Discuss: DEV
๐ŸŽฎLanguage Ergonomics
Deep learning the sources of MJO predictability: a spectral view of learned features
arxiv.orgยท5h
๐ŸชœRecursive Descent
Beyond the Final Answer: Evaluating the Reasoning Trajectories of Tool-Augmented Agents
arxiv.orgยท1d
๐Ÿ“‹Souffle Datalog
AI Agents for Marketing: A Real-World Content Automation Case Study
dev.toยท1dยท
Discuss: DEV
๐ŸŽฎLanguage Ergonomics
TROLL: Trust Regions improve Reinforcement Learning for Large Language Models
arxiv.orgยท5h
๐ŸŽญErlang OTP
Safe and Compliant Cross-Market Trade Execution via Constrained RL and Zero-Knowledge Audits
arxiv.orgยท5h
๐Ÿ“ฎMessage Queues
Relative Code Comprehensibility Prediction
arxiv.orgยท5h
๐ŸŽฎLanguage Ergonomics
Automating construction safety inspections using a multi-modal vision-language RAG framework
arxiv.orgยท5h
โš–๏ธWeighted Automata
The Engineering Scalability Crisis: Why Standard Code Structures Matter More Than Ever
dev.toยท1dยท
Discuss: DEV
๐ŸŽญProgram Synthesis
Bamboo: LLM-Driven Discovery of API-Permission Mappings in the Android Framework
arxiv.orgยท5h
๐Ÿ”Lens Libraries
Scaling AI-Assisted Development: How Scaffolding Solved My Monorepo Chaos
dev.toยท1dยท
Discuss: DEV
๐Ÿ“ฆMonorepos
Unlocking Uniqueness: Mastering the Unique Character Algorithm in Go
dev.toยท17hยท
Discuss: DEV
๐ŸŒฟTrie Variants
From Shadow to Light: Toward Safe and Efficient Policy Learning Across MPC, DeePC, RL, and LLM Agents
arxiv.orgยท5h
๐ŸชœRecursive Descent