Design for Chaos: Fastly’s Principles of Fault Isolation and Graceful Degradation
fastly.com·1d
🛡️Error Boundaries
Embedding Lua in Nim
lambdacreate.com·1d
🦀Rust Macros
Old-school functional and design specification reviews
smalldatum.blogspot.com·12h·
Discuss: Hacker News
📏Code Metrics
State of the Art of AI Tools in Micro-Frontend Architectures • Luca Mezzalira • GOTO 2025
youtube.com·1d
🌀Brotli Internals
Sora 2 Stole the Show at OpenAI DevDay
aiengineering.report·10h·
Discuss: Hacker News
🖥️Terminal Renaissance
Digest #182: Vibe-Coded App Risks, GitHub npm Security, Zero-Downtime DB Migration & Kubernetes Load Balancing
devopsbulletin.com·4d
❄️Nix Adoption
CI/CD pipelines, Docker builds, failed deployments 😩 — help me understand your pain (5-min survey)
reddit.com·2d·
Discuss: r/kubernetes
❄️Nix Adoption
11 Best Go Courses Worth Taking
dev.to·1h·
Discuss: DEV
🔄Reproducible Builds
Is Tixu AI Legit? A 2025 Review of Its Promise to Turn AI Skills into Income
dev.to·22h·
Discuss: DEV
🚀Indie Hacking
System Design for Agentic AI Projects: What to Do, What Not to Do, and When
dev.to·3d·
Discuss: DEV
👁️Observatory Systems
Graph-based LLM over Semi-Structured Population Data for Dynamic Policy Response
arxiv.org·2h
💻Local LLMs
Joint Communication Scheduling and Velocity Control for Multi-UAV-Assisted Post-Disaster Monitoring: An Attention-Based In-Context Learning Approach
arxiv.org·2h
🧠Machine Learning
Autonomous Data Augmentation via Generative Adversarial Imitation for Resource-Constrained Robotics
dev.to·7h·
Discuss: DEV
📊Learned Metrics
Why I Built an ERP for My Dairy Business (And Why You Should Too)
dev.to·1d·
Discuss: DEV
🌳Incremental Parsing
Decoding the AI Index: Key Trends and What They Mean for Developers
dev.to·1d·
Discuss: DEV
🧠Intelligence Compression
Investigating active exploitation of CVE-2025-10035 GoAnywhere Managed File Transfer vulnerability
microsoft.com·1d·
Discuss: Hacker News
🛡️eBPF Security
Environment-Aware Indoor LoRaWAN Path Loss: Parametric Regression Comparisons, Shadow Fading, and Calibrated Fade Margins
arxiv.org·1d
📊Rate-Distortion Theory
Wavelet Predictive Representations for Non-Stationary Reinforcement Learning
arxiv.org·1d
🧠Machine Learning
RAG Chunking Strategies That Actually Work (and Why Most Don’t)
dev.to·21h·
Discuss: DEV
📄Text Chunking
Assessing NBTI Degradation Mitigation via Stochastic Gradient Descent on Multi-Layered Transistor Data
dev.to·1d·
Discuss: DEV
🛡️Error Boundaries