AI
12 posts

Claude Code Channels: Give Your AI Coding Assistant a Phone Number
A hands-on look at Claude Code Channels, letting you control your AI coding assistant through Telegram, Discord, and more — no matter where you are.

Don't Build a Thousand Agents: How Ramp Automates Finance with One Agent
Ramp, America’s fastest-growing enterprise finance platform valued at $32B with 50,000+ customers and $100B+ in annual transaction volume, chose a ‘one Agent + a thousand skills’ architecture over building many agents. This is a deep dive into Ramp’s AI实战经验.

Mistral Forge Deep Dive: The Nuclear Weapon for Enterprise Fine-tuning
Spent 3 hours reading the official documentation. Forge wants to turn fine-tuning into an all-in-one service - you just feed it data, and it handles everything else. But how low is the barrier really?

AI Programming Hits the 'Review Bottleneck'? Mistral Drops an Open-Source Bomb
Mistral AI releases Leanstral, the first open-source Lean 4 code agent that lets AI both write code and prove its correctness. Let’s talk about formal verification and AI programming.

AI Agents Finally Make Literate Programming Worth Trying
Literate programming has been around for 40 years but never caught on — because maintaining parallel narratives of code and prose is exhausting. AI agents change that equation entirely.

You Use AI for Coding, But Have You Ever Used One That Holds Grudges?
When AI programming tools become goldfish - discussing the context loss pain point and how to make AI remember what you’re working on

Locking Down Your Local AI Agent: An Agent Safehouse Review
A macOS tool that sandboxes AI agents like Claude Code and Codex, preventing accidental file deletions and credential leaks once and for all.

OpenClaw Multi-Bot Team Collaboration: Three Architecture Patterns Compared
Build multiple independent Telegram Bots into a collaborative Agent team. This article covers three architecture patterns and complete configuration methods.

Karpathy's Latest Work: Complete GPT in 200 Lines of Code - The Most Adorable AI Tutorial
Andrej Karpathy has done it again! This time he implemented a trainable, inferable GPT model in just 200 lines of pure Python with no dependencies. This might be the most concise large language model implementation ever.

Neural Network Reverse Engineering: When Machine Learning Becomes a Puzzle Game
Jane Street released a special ML puzzle: given the complete neural network weights, find an input that makes it output non-zero. This isn’t a typical black-box attack - it requires truly understanding what the network is computing. A college student spent days, going from linear programming to SAT solvers, and finally discovered the network was hiding an MD5 hash function.