Sashiko (刺し子, "little stabs") borrows its name from a Japanese reinforcement-stitching technique — fabric repaired and strengthened at its points of wear. The metaphor is the whole pitch: an agentic system that stitches over the weak spots in proposed Linux kernel patches before they land. It's written in Rust …

Training & Adaptation Strategy

1. What approaches exist for training or adapting an LLM? — Pretraining, fine-tuning, instruction tuning, prompt engineering, RAG.

2. Base model vs instruction-tuned model? — Pure next-token predictor vs one aligned to follow instructions.

3. When would you choose fine-tuning over RAG? — Stable domain knowledge, style/format control, latency sensitivity.

4. When would …

A starter question bank for screening entry-level GenAI engineers. Grouped by theme, covering fundamentals through production concerns.

Fundamentals

1. What is generative AI vs discriminative AI? — Generative models learn to produce new data; discriminative models learn decision boundaries to classify or predict.

2. What is a large language model (LLM)? — A neural …

When I was in 11th grade, my school — a Government Higher Secondary School — got its first color computer.

Even though I was a Bio-Maths student, the school management made a great call: one mandatory computer session every Friday for all 11th and 12th graders.

Our computer teacher had a tradition …

NemoClaw is NVIDIA's agent sandbox that lets you run AI assistants locally using your own inference backend — Ollama, llama.cpp, or cloud providers. It bundles OpenShell as a gateway and OpenClaw as the agent runtime, all orchestrated through Docker containers.

Here's a walkthrough of setting it up from scratch.

Setup …

Getting your macOS system and disk information from the terminal is straightforward once you know the right commands. Here's a quick reference.

System Info

system_profiler SPSoftwareDataType — Displays macOS version, build number, kernel version, boot volume, and uptime. Good for confirming your OS details quickly.

Use like this in your terminal …

Introduction

When most beginners open Claude for the first time, they type a question and wait for an answer. That is a perfectly valid starting point. But if that is all you have been doing, you are using a fraction of what is actually there.

Claude is not just a …

TLDR;

GitHub Token

To pull container images from GitHub's registry, you need a Personal Access Token (PAT).

1. Go to GitHub Token Settings
2. Click Generate new token (classic)
3. Give it a descriptive name and set an expiry
4. Under scopes, check read:packages
5. Click Generate token and copy it right away — you …

Ollama is a lightweight, open-source LLM runner. Its :cloud model suffix lets you route prompts to free-tier hosted models — no GPU, no paid API key required. Useful for learning, prototyping, and small projects on modest hardware.

This post covers the full Ubuntu setup: manual install, service startup, chatting with Kimi …

Most Claude Code projects start with a CLAUDE.md and nothing else. Here is the full structure that turns Claude from a coding assistant into an engineering partner.

The complete directory

your-project/
├── CLAUDE.md
├── CLAUDE.local.md
├── mcp.json
└── claude/
    ├── settings.json
    ├── rules/
    │   ├── code-style.md
    │   ├── testing.md
    │   └── api-conventions.md
    ├── commands …