Class 5 · 5.1

Agentic coding ke liye sahi model choose karna

Class 5 projects day hai. Build karne se pehle aik decision sab se zyada matter karta hai: yeh nahi ke aap konsa editor kholte hain, balki yeh ke steering wheel ke piche konsa model hai.

Goal: tool aur model soch samajh kar choose karnaRead: 8 minType: orientation

01Do decisions, aik nahi

Class 4 ne 4 tareeqay dikhaye editor mein agent chalane ke — Cursor, GitHub Copilot, Codex aur Antigravity. Yeh sochna aasan hai ke “main konsa use karoon?” hi asli sawal hai. Aisa nahi hai. Har tool asal mein aik agentic platform hai: aik program jo LLM ko loop mein call karta hai, use tools deta hai, aur kaam karne deta hai. Jab aap yeh samajh jayein to choice 2 hisso mein bat jaati hai.

Tools taqriban ek jaise hain. Model hi jagah hai jahan quality aur paisa rehta hai.

Aik tool choose karein jisme aap comfortable hon; platforms mein chhote fark hote hain. Lekin model choose karna woh decision hai jo determine karta hai ke code achha hai ya nahi. Aapki tawajjo aur budget wahin jana chahiye.

02Chaar tools recap

Yeh ek jaise lagte hain kyun ke taqriban sab VS Code par bane hain aur ek jaisay models tak pohnchte hain.

Tooling ≠ model

IDE workshop hai; LLM worker hai jise aap hire karte hain. Zyada tar tools zyada tar models se connect ho sakte hain — model badalna har cheez badal deta hai.

03Agents ke peeche models

Class 4 ne alag models use kiye. Yahan main models diye gaye hain.

04Model choose karne ke 3 usool

Smart ko fast par preference dein

Strong model jo sahi kaam kare woh us fast model se behtar hai jo ghulat code banaye jise aap baad mein fix karein.

Budget set karein, phir sab se smart model lein

Saste model se paise bachana zyada costly parta hai. Budget decide karein aur strong model choose karein.

Chota model → bari spec, zyada supervision

Chote models kaam kar sakte hain agar aap precise prompts likhein aur closely supervise karein.

05YOLO kab safe hai?

YOLO ka matlab agent ko bina supervision chalne dena. Yeh is baat par depend karta hai ke aap kis model tier par bharosa kar rahe hain.

Supervision model ke hisaab se match karein, mood ke hisaab se nahi.

Edits dekhein

Fast frontier model ke sath chhote qadam lein aur code change hote hue diffs par nazar rakhein. Asal hands-off YOLO top models ke liye rakhein — GPT-5.2 Codex, Gemini 3 Pro, aur instructor ki favourite, Claude Opus 4.5.

✓ Aham baatein

Do decisions: tool (kam stakes) aur model (yahan quality aur cost rehti hai).
Chaar IDEs agentic platforms hain — loop jo LLM ko tools ke sath call karta hai — aur zyada tar unhi models tak pahunchte hain.
Smart ko fast par preference dein, budget set karke usme sab se zyada intelligence lein, aur chhote models ko bari specs dein.
YOLO sirf top-frontier models ke sath; fast models ko diffs dekhte hue qadam-ba-qadam supervise karein.