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🧠 Overthinking won't solve it. Action will. ⏱️ 60-Minute Framework:•0–10 min: Define the real problem • 10–20 min: Break it into smaller parts • 20–35 min:Brainstorm solutions • 35–50 min:Pick the best option • 50–60 min:Take the first step Stop overthinking.Start moving.🚀

@Saife_AI Excellent

During a job interview, if they ask: "How do you handle it when everything is a priority?" USE THE GOLDEN RESPONSE:

@shivraj_me31605 That's great

@DivyanshT91162 CLAUDE

Andrej Karpathy just explained the future of software engineering without directly saying it. The best AI engineers are no longer “prompting.” They’re building systems around the agents. Karpathy’s biggest insight wasn’t: “Claude can code.” It was: LLMs become dramatically better when you force them into disciplined workflows. That’s why "CLAUDE.md" files are suddenly everywhere. Not because they’re prompts. Because they behave like an operating system for the agent. Karpathy called out the exact problems with AI coding: - models assume instead of asking - they overengineer simple tasks - they hide confusion - they rewrite unrelated code - they optimize for completion, not correctness So developers started encoding rules directly into the workflow: → Think before coding → Simplicity first → Surgical edits only → Goal-driven execution And the results are wild. People are now running multiple Claude Code agents in parallel like engineering teams: • one agent researching • one debugging • one writing tests • one optimizing code • one validating outputs Not “AI assistance.” Actual orchestration. And this part from Karpathy changes everything: “Don’t tell the model what to do. Give it success criteria and let it loop.” That is the shift. From: “write this function” To: “here’s the goal, constraints, tests, and verification system — now iterate until correct.” The craziest part? This already feels like a phase shift in engineering. A lot of developers quietly went from: 80% manual coding → to 80% agent-driven coding in just months. Not because AI became perfect. Because the leverage became impossible to ignore. We’re entering an era where the highest leverage engineers won’t necessarily be the best coders. They’ll be the people who build the best systems around AI agents.

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@David_TornAI Nice

Most people get weak AI results because they use weak prompts. Use this simple framework to get smarter, faster, and more accurate answers: • ACT → Assign a role • DEFINE → Set a clear objective • BREAKDOWN → Divide complex tasks • EXPAND → Explore more ideas • REFINE → Improve and optimize outputs • CHECK → Validate facts and accuracy • SUMMARIZE → Create clear conclusions The difference between an average prompt and a great prompt is often just a few words. Small prompt improvements = dramatically better results. 🚀 (🔖 Save this for your next AI session.) @David_TornAI

@ai_explorer25 Great

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How I use Claude all day without hitting limits •Batch similar tasks together •Stop over-explaining prompts •Edit outputs instead of regenerating •Save templates for reuse •Break giant requests into chunks •Keep chats organized Better workflow > more tokens.

@Anshul7974 Amazing post

@nahid_tech Excellent share

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🚨 BREAKING: Claude can now transform your resume and LinkedIn profile into a recruiter magnet — completely free. Use these 7 powerful prompts to: ✅ Stand out from thousands of applicants ✅ Optimize your resume for ATS systems ✅ Upgrade your LinkedIn profile ✅ Attract more recruiter attention ✅ Land more interviews with less effort Most job seekers are still doing this manually. The smart ones are using AI. 🔖 Save this before your next job application. Follow @Gauravjain2410

@Gauravjain2410 Thanks for sharing

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@ashiqur_ai This is amazing

@Elvyn_Ai7 Thanks for your nice share

Most people are using Claude completely wrong. They're getting 10% of its power. Here's the God-Mode prompt stack that changes everything 🧵 (Save this 👇)

@sripathiteja4 Awesome share

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