Ais

A macOS tool that sandboxes AI agents like Claude Code and Codex, preventing accidental file deletions and credential leaks once and for all.

Build multiple independent Telegram Bots into a collaborative Agent team. This article covers three architecture patterns and complete configuration methods.

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.

Deep dive into Claude Code’s memory mechanisms: Auto Memory vs CLAUDE.md, hierarchical memory structure, modular rules configuration, making your AI assistant truly remember your project habits.

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.

Redis founder antirez used Claude Code to implement a complete Z80 emulator in 30 minutes, passing the ZEXALL full instruction test. He designed a strict clean-room experiment: first had AI organize documentation, then cut off the network and implemented from scratch. Result: 1200 lines of code, zero bugs, and顺便 also built ZX Spectrum and CP/M environments.

Amplifying.ai ran 2,430 tests on Claude Code and found that in 12 out of 20 categories, it prefers writing custom code over using existing tools. GitHub Actions 94%, Stripe 91%, shadcn/ui 90% selection rates are striking, while AWS, GCP, and Azure got zero primary picks.

Zhipu AI’s GLM-5 scores 77.8% on SWE-bench with a 744B MoE architecture, MIT license, and $1/M token pricing — just 3 points behind Claude Opus 4.6 at 1/5 the cost. We ran real benchmarks and code tests to help you decide where your AI budget should go.

A practical RAG tutorial: build an enterprise knowledge base Q&A system in 4 steps using embedding vector search and Claude. Contextual Retrieval cuts retrieval failure from 5.7% to 1.9%, with full Python code and Voyage AI model comparison.

OpenAI Codex CLI, this terminal tool, received major version updates from 0.80.0 to 0.86.0, including SKILL.toml skill config, web search control, sandbox elevation, and headless login. Let’s see how to make the most of AI programming.