Suryakant Chaurasiya

1000 Powerful Claude Prompts🤯 For builders, developers & creators. I spent weeks compiling the most practical prompts for: • Coding & debugging • AI workflows • Research & analysis • Automation • Content creation • Productivity systems These prompts can replace hours of manual work. To celebrate finishing this prompt book, I’m giving it away to a few people here. How to get access: Follow MUST (so I can dm) Repost + Like Comment 'Prompt'

1000 Powerful Claude Prompts🤯 For builders, developers & creators. I spent weeks compiling the most practical prompts for: • Coding & debugging • AI workflows • Research & analysis • Automation • Content creation • Productivity systems These prompts can replace hours of manual work. To celebrate finishing this prompt book, I’m giving it away to a few people here. How to get access: Follow MUST (so I can dm) Repost + Like Comment 'Prompt'

@khan653742 Thanks

@coder_surya Amazing shear

Most people think using Claude Code is about writing better prompts. It’s not. The real unlock is structuring your repository so Claude can think like an engineer. If your repo is messy, Claude behaves like a chatbot. If your repo is structured, Claude behaves like a developer living inside your codebase. Your project only needs 4 things: • the why → what the system does • the map → where things live • the rules → what’s allowed / forbidden • the workflows → how work gets done I call this: The Anatomy of a Claude Code Project 👇 ━━━━━━━━━━━━━━━ 1️⃣ CLAUDE.md = Repo Memory (Keep it Short) This file is the north star for Claude. Not a massive document. Just three things: • Purpose → why the system exists • Repo map → how the project is structured • Rules + commands → how Claude should operate If CLAUDE.md becomes too long, the model starts missing critical signals. Clarity beats size. ━━━━━━━━━━━━━━━ 2️⃣ .claude/skills/ = Reusable Expert Modes Stop repeating instructions in prompts. Turn common workflows into reusable skills. Examples: • code review checklist • refactoring playbook • debugging workflow • release procedures Now Claude can switch into specialized modes instantly. Result: More consistent outputs across sessions and teammates. ━━━━━━━━━━━━━━━ 3️⃣ .claude/hooks/ = Guardrails Models forget. Hooks don’t. Use hooks for things that must always happen automatically. Examples: • run formatters after edits • trigger tests after core changes • block sensitive directories (auth, billing, migrations) Hooks turn AI workflows into reliable engineering systems. ━━━━━━━━━━━━━━━ 4️⃣ docs/ = Progressive Context Don’t overload prompts with information. Instead, let Claude navigate your documentation. Examples: • architecture overview • ADRs (engineering decisions) • operational runbooks Claude doesn’t need everything in memory. It just needs to know where truth lives. ━━━━━━━━━━━━━━━ 5️⃣ Local CLAUDE.md for Critical Modules Some areas of your system have hidden complexity. Add local context files there. Example: src/auth/CLAUDE.md src/persistence/CLAUDE.md infra/CLAUDE.md Now Claude understands the danger zones exactly when it works in them. This dramatically reduces mistakes. ━━━━━━━━━━━━━━━ Here’s the shift most people miss: Prompting is temporary. Structure is permanent. Once your repository is designed for AI: Claude stops acting like a chatbot... …and starts behaving like a project-native engineer. 🚀

@MdRimon488484 Thanks

@coder_surya That's great

@pushkersoni72 Thanks

@coder_surya Structured repos unlock true potential.

@Jawad_Rahman_ Thanks

@coder_surya Amazing .

@KhushiPatil25 Thanks

@coder_surya Wow really nice Share

@rakib_md007 Thanks

@coder_surya Great share

@AiWithTariq Thanks

@coder_surya Great share

@ZayvenKnox Yup

@coder_surya this looks useful ngl

@primemans Thanks

@coder_surya AMAZING

@jason_coder0 Thanks @jason_coder0

@coder_surya Sounds is amazing

@Shipon_40AI Yup

@coder_surya Amazing share

@DiamondDudz Yup

@coder_surya Strong agree. Structure is the real context. A chaotic codebase gives Claude a chaotic worldview of your project — it fills the gaps with assumptions. Being explicit about constraints before you prompt does more than any clever phrasing ever will.

@georgeorch Yup

@coder_surya Clean repo structure turns Claude from a fancy chatbot into an actual teammate who knows where everything lives. Been living this exact lesson with my agent systems massive difference. Great breakdown

@AnandButani Yup

@coder_surya local CLAUDE.md per module is the one most people skip, but it's where the real error reduction happens, auth and billing especially.

Microsoft just dropped a FREE path to become AI certified all the training materials, study guides, and practice exams are completely free on Microsoft Learn you don't need to pay $5,000 for a bootcamp you don't need a $2,000 udemy bundle you just need Microsoft Learn and discipline the certification path has 3 levels: LEVEL 1: Azure AI Fundamentals (AI-900) your entry point. no prior knowledge needed. no coding required what it covers: - how AI and machine learning work on Azure - computer vision and NLP basics - generative AI workloads - responsible AI principles prep time: 2-4 weeks passing score: 700/1000 training: FREE on Microsoft Learn this cert never expires. once you pass, it's yours forever IMPORTANT: this exam retires June 30, 2026 and gets replaced by AI-901 if you want the current version, MOVE NOW LEVEL 2: Azure AI Engineer Associate (AI-102) this is where it gets real. you're building actual AI solutions what it covers: - Azure OpenAI integration - RAG (retrieval-augmented generation) - AI agents and agentic solutions - computer vision and NLP pipelines - document intelligence - building with Python or C# SDKs Microsoft updated this in 2025 to focus on generative AI and agents (exactly what companies are hiring for right now) prep time: 1-3 months passing score: 700/1000 renewal: every 12 months, FREE online training: FREE on Microsoft Learn this cert alone qualifies you for Azure AI Engineer roles ALSO RETIRES JUNE 30, 2026. the window is closing LEVEL 3: Azure Solutions Architect Expert (AZ-305) the expert tier. you're not just building AI, you're designing entire cloud architectures PRIOR KNOWLEDGE: you need Azure Administrator Associate (AZ-104) first what it covers: - identity and governance solutions - data storage architecture - business continuity planning - full infrastructure design prep time: 2-4 months passing score: 700/1000 renewal: annually, FREE online training: FREE on Microsoft Learn this isn't AI-specific but it's the cert that gets you into the room where AI architecture decisions happen median salary for Azure Solutions Architects: $170k+ the full roadmap: > month 1-2: study and pass AI-900 > month 2-4: study and pass AI-102 > month 4-8: get AZ-104 then AZ-305 total time: 6-8 months all training materials: $0 DISCLAIMER: "but the exams AREN'T free" you're right. they cost $99-$165 each but Microsoft Virtual Training Days give free vouchers for AI-900 students with .edu emails get exams for $0-15 Microsoft Ignite challenges give 50% off and even full price is UNDER $600 for all 3 levels no bootcamp needed no overpriced course needed 3 certs. 6-8 months. and you're certified by the company that powers half the enterprise AI infrastructure on the planet the June 2026 deadline makes this urgent, AI-900 and AI-102 both retire after that START TODAY ❤️ Recommendation: at least complete all free materials, and as you will have this knowledge, buy the exams to get certified if you don't have money to pass them, just get a free knowledge which is confirmed with TOP universities of this world win-win situation anyway

learn.microsoft.com/en-us/training/ There are so many topics for free don't understand the euphoria.

@rah_x99990 Thanks

@coder_surya Amazing