# I built a complete AI-coding handbook in Bangla - words, tools, a story, and a 30-day path

> Source: <https://dev.to/dhrupo/i-built-a-complete-ai-coding-handbook-in-bangla-words-tools-a-story-and-a-30-day-path-879>
> Published: 2026-06-05 17:14:15+00:00

A year of AI-coding discourse taught me one thing: the hardest part isn't the tools — it's the *vocabulary wall*. If English isn't your first language, "token", "context window", "hallucination", "harness" don't sound like concepts. They sound like spells. 🪄

Matt Pocock's brilliant [Dictionary of AI Coding](https://github.com/mattpocock/dictionary-of-ai-coding) showed how teachable these words really are. So I adapted it into Bangla — and then kept going, way past where the original stops. Today it's a complete, free, open-source learning path:

🔗 [https://github.com/dhrupo/dictionary-of-ai-coding-bangla](https://github.com/dhrupo/dictionary-of-ai-coding-bangla)

**(words → tools → story → habit)**

**📖 Part 1 — The words.** 62 terms across 7 sections, each with a daily-life analogy instead of a textbook definition. A model is a calculator that never presses its own buttons. Parameters are mixing-board knobs. And there's গোল্ডি (Goldie) — a goldfish with a 3-second memory who keeps reminding you that models are stateless too. 🐠

**🛠️ Part 2 — The tools.** This is where it goes beyond the original: 7 hands-on guides covering real CLI commands (Claude Code + Codex, mapped back to the concepts — `/compact`

is just the Compaction button), AI-friendly folder structure (`AGENTS.md`

, `.claude/`

, who reads what and when), bad-prompt → good-prompt rewrites, the popular community skills (brainstorming, grill-me, TDD, handoff…), 17 extra terms (RAG, embeddings, temperature, hooks…), token economics, and safety (including prompt injection, explained with a postman analogy).

**📜 Part 3 — The story.** Instead of a tutorial you have to install things for, it's a 6-chapter read-along: রাফি, a 9th grader, builds his first portfolio site with an AI agent. He makes every classic mistake — vague prompts, trusting a hallucinated library, dragging a session deep into the dumb zone — and recovers using the tools from Part 2. Margin notes call back every concept at the exact moment it bites. The reader installs *nothing*.

**🗓️ The 30-day path.** Reading isn't owning. So the book ends with 30 daily missions (5–15 min each). The first two weeks need zero setup — just any free AI chat and open eyes ("ask the same question twice — did the answers match?"). Weeks 3–4 go hands-on, but every mission has a read-only alternative.

Plus: a myth-busting FAQ ("AI will eat my job", "you need a CS degree"), a 79-term alphabetical index, copy-paste `templates/`

(a starter `AGENTS.md`

, a working `/handoff`

command, a `SKILL.md`

example), and 26 terminal GIFs — all reproducible from committed VHS scripts.

`/compact`

vs `/clear`

vs handoff perfectly and people still won't know `grep`

couldn't match half my content (decomposed Unicode), GitHub slugs for emoji-prefixed headings start with a stray hyphen, and nested code fences need 4-backtick outers. The repo's link checker is a tiny Python script for a reason.Everything is CC BY 4.0. There are Bangla issue forms for "I want a new word" and "I found a mistake" — contributions of any size welcome, from a typo to a better analogy to a whole new section.

And if you speak another language: steal this structure. The vocabulary wall exists in every non-English-speaking dev community, and the fix is surprisingly fun to build. 💙