React Native – About the New Architecture
reactnative.dev·1d·
Discuss: Hacker News
🧩WebAssembly
Show HN: Root Managed Services
rootmanagedservices.com·3d·
Discuss: Hacker News
🧪Home Lab
Supabase Security Best Practices: Common Misconfigurations We Keep Seeing
pentestly.io·17h·
Discuss: r/programming
👨‍💻Self-Hosting
AI Assistant for Statements, Invoices and Receipts
bankgpt.io·3d·
Discuss: Hacker News
📊ClickHouse
The pirate-based logic of Rust shared references
ais523.me.uk·23h·
Discuss: Lobsters, Hacker News
🔌Embedded Rust
10 Python Playwright Debugging Techniques to Supercharge Your Test Automation
dev.to·4h·
Discuss: DEV
🔍Static Analysis
iPhone Air: Visionary Design or Practical Sacrifice?
hackernoon.com·11h
✨vibe-coding
The productivity paradox of AI coding assistants
cerbos.dev·2d·
Discuss: Hacker News, r/programming, r/webdev
🧩Low-code
Smarter Apps with PostHog: Feature Flags & Analytics
dev.to·4d·
Discuss: DEV
☁️Serverless Rust
I used NotebookLM to learn a new graphics tool, and it was shockingly effective
xda-developers.com·1d
🧩Low-code
Building Production-Ready LLM Integrations With MCP Over gRPC - Mehrdad Afshari, Signeen Inc.
youtube.com·2d
🧩Nomad
Why AI Voice Bot Development Solutions Are Becoming Essential for Businesses Adapting to Hybrid Work Models
dev.to·2d·
Discuss: DEV
🎤Voice Interfaces
Pragmatic Frames Evoked by Gestures: A FrameNet Brasil Approach to Multimodality in Turn Organization
arxiv.org·13h
🎙️Whisper
Show HN: Vue-Markdown-render – up to 100× faster streaming Markdown for Vue 3
github.com·1d·
Discuss: Hacker News
🧩WebAssembly
Piano Hero🎹
dev.to·1d·
Discuss: DEV
🗣️Speech Synthesis
Anti-Money Laundering Machine Learning Pipelines; A Technical Analysis on Identifying High-risk Bank Clients with Supervised Learning
arxiv.org·3d
🏗️AI Infrastructure
Why the Oracle-OpenAI deal caught Wall Street by surprise
techcrunch.com·2d
🧠AI
Private LLM Inference: Democratizing AI with Ciphertext Computations
dev.to·1d·
Discuss: DEV
💻Local LLMs
Failed Machine Learning
github.com·2d·
Discuss: Hacker News
🧠AI
Universal Graph Learning for Power System Reconfigurations: Transfer Across Topology Variations
arxiv.org·4d
🤝Federated Learning