Programming the Commodore 64 with .NET
retroc64.github.io·1d·
Discuss: Hacker News, r/programming
💪Self Help
Flag this post
I can't recommend Grafana anymore
henrikgerdes.me·6h·
Discuss: Hacker News
💪Self Help
Flag this post
Introducing Metrax: performant, efficient, and robust model evaluation metrics in JAX
developers.googleblog.com·1d
🤖AI
Flag this post
Block 'Em Sock 'Em Beat Battle
sasha.gg·3d
🤖AI
Flag this post
15 Ways to Make Money with AI the Smart Way
analyticsvidhya.com·2h
🤖AI
Flag this post
Automatisation of a simple web task
reddit.com·2d·
Discuss: r/selfhosted
🤖AI
Flag this post
How to Build a Custom MCP Server to Read Local Files with Claude Desktop: Challenges & Solutions
pub.towardsai.net·3d
🤖AI
Flag this post
How design teams are reacting to 10x dev productivity from AI
lukew.com·1d
🤖AI
Flag this post
7 Prompts to Make Google's AI Your Marketing Superpower
vibe.forem.com·10h·
Discuss: DEV
🤖AI
Flag this post
Caching — The Secret Weapon Behind Fast, Scalable Systems — Architecture Series: Part 4
dev.to·2h·
Discuss: DEV
💪Self Help
Flag this post
Google Summer of Code 2025: What Our Contributors Built
blog.jetbrains.com·2d
🤖AI
Flag this post
MongoDB Drivers and Network Compression
dev.to·1d·
Discuss: DEV
💪Self Help
Flag this post
Deploy Rails apps for $5/month
dev.to·16m·
Discuss: DEV
💪Self Help
Flag this post
Career discussion: Tech/Dev in culture
reddit.com·4h·
Discuss: r/webdev
💪Self Help
Flag this post
CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction
arxiv.org·2d
🤖AI
Flag this post
Help Me Build the Future: Test My AI Developer Kit (Free Product Inside)
vibe.forem.com·1d·
Discuss: DEV
🤖AI
Flag this post
Why Is AI-Aided Development Trending?
dev.to·1d·
Discuss: DEV
🤖AI
Flag this post
Tech With Tim: Python Skills You NEED Before Machine Learning
dev.to·7h·
Discuss: DEV
🤖AI
Flag this post
Enhanced Life Cycle Integration via Predictive Asset Degradation Modeling & Digital Twin Optimization
dev.to·6h·
Discuss: DEV
🤖AI
Flag this post
AI Annotation Orchestration: Evaluating LLM verifiers to Improve the Quality of LLM Annotations in Learning Analytics
arxiv.org·1d
🤖AI
Flag this post