nariyalpaani🧉

AI is gonna make humans more valuable here's why your quirks are your biggest leverage the more AI floods here, the more we crave: - raw human perspectives - real stories and connections - authentic voices - original thoughts

currently building @anakinHQ

@ajay_2512x @riverline_ai Applied

🚨Hiring AI Engineers (SDE 1/2/3) @ Riverline If you care more about what ships tonight than what stack you use keep reading. They’re building the bank of 2035 — AI-first, deeply personalized financial systems for millions of underserved Indians. 💰 Comp: ₹40–70L (FT) ₹80k–2L/month (interns) Bengaluru (in-person, high ownership, high velocity) Today, their AI agents: → Talk to thousands of borrowers daily (calls, WhatsApp, email) → Understand real-life financial struggles → Help people get back on track — consistently, tirelessly No scripts. No fatigue. Just intelligent systems that actually listen. What you’ll work on: • AI agents handling complex workflows at scale (10k+ users/day) • Voice systems: latency, realism, turn-taking, VAD • State-machine infra for future credit systems in India Stack (flexible, learning-first): React, TypeScript, Node, FastAPI, AWS, LLMs, speech models You’ll thrive here if: • You optimize for speed, not comfort • You build/patch instead of waiting on libraries • You’ve shipped things you’re proud of • You can explain your system to a 5-year-old • You get restless when nothing moves Backed by South Park Commons, GradCapital & DeVC Team from IIT Madras, CMU, Navi riverline.notion.site/ai-engineer

How to Use Claude's Skills Effectively (and Get Insanely Good Results) If you're still treating Claude like a basic chatbot, you're leaving 80% of its power on the table. Here's the exact playbook I use to make Claude feel like a super-intelligent teammate: 1. Stop “vague prompting” immediately Bad: “Help me with marketing” God-tier: “You are a 10-year growth marketer who worked at Notion and Ramp. Create a 30-day LinkedIn content calendar for a B2B SaaS tool targeting CTOs in India. Include hook, CTA, and 3 hashtags per post. Format in a clean table.”Specificity = magic. 2. Give it memory & context Upload PDFs, Notion exports, or past chat screenshots. Start every new project with: “From now on, remember these 3 things about me/my business…” Use Projects (the hidden gem) to keep long-term context across chats. 3. Master the “Artifacts + Iteration” loop Claude’s Artifacts feature is stupidly powerful. Prompt → Get Artifact → Say “Improve this: make it more punchy, add X metric, shorten by 30%” → Repeat. I once built an entire product landing page + copy + pricing tiers in one 20-minute session this way. 4. Force step-by-step reasoning (Chain of Thought) Add this line at the end of complex prompts: “Think step-by-step before giving the final answer. Show your reasoning clearly.”Works like steroids for strategy, code, analysis, or decisions. 5. Role-play like a pro The best prompt prefix I use: “You are now [world-class expert]. You have [specific experience]. Never break character. Be brutally honest and direct.”Examples that crush it: World-class VC who’s done 50+ seed deals Brutally honest career coach Indian startup founder who scaled to $10M ARR 6. Bonus hacks most people miss Use “Compare these 3 options” instead of asking for one answer. Ask it to “roast” your work — instant quality boost. For code: “Write clean, production-ready code with comments + edge cases.” End every prompt with “Explain like I’m a sharp founder, not a beginner.” Claude isn’t just “smart” — it’s one of the best reasoning engines alive in 2026. But it only shows up when you communicate like a pro.Drop your best Claude prompt hack below (I’ll reply with mine)#ClaudeAI #PromptEngineering #AIProductivity

Coding isn’t dead… it just moved to prompt debugging at 3 AM. Most ‘AI agents’ still hallucinate on real prod data. The ones that actually ship? They’re boring, reliable, and make money. Change my mind. What’s the dumbest agent failure you’ve seen this week?

What’s killing AI agent adoption in 2026? A) Hallucinations B) Integration hell C) Insane API costs D) Lazy builders (be honest) Vote + comment your war story #AIagents

In the rush to upskill, let's not forget the value of clarity. Are you a master of tools, or do your tools master you? 🛠️💡 #Mindset #SkillGrowth

Balancing work and life often feels like walking a tightrope. What's your go-to strategy for making it work without burnout? 🌟

I have been learning a lot about databases and system design, as well as fundamental topics, to build a strong foundation. However, should I continue focusing on these areas or completely switch to AI, considering that most coding agents can now handle such tasks? I only have 6 to 7 months of corporate experience, so I would appreciate any advice from senior developers.

88% of AI agents never hit prod. 76% fail in the first week. Not because the model sucks. It's because one handoff gap or silent hallucination quietly corrupts your DB for days before anyone notices. I just spent 9 hours tracing why my agent kept inventing order IDs. The fix wasn't better prompts. It was defining done and ownership before the first line of code. What's the dumbest silent failure your agents have hidden from you? #AIAgents

Everyone obsesses over which model their agent uses. I obsess over whether Agent A output is actually consumed by Agent B. Last month I tore down my whole setup because five specialist agents were just talking to themselves in a vacuum. Fewer agents. Deeper responsibilities. Explicit handoffs and shared memory or it's all fake collaboration. The builders actually in prod aren't smarter. They're just paranoid about the plumbing. You redesigning your agent org chart yet? #BuildInPublic

Vibe coding is fun until you don't understand what the AI just built for you. Then you're debugging someone else's code — except that someone is an LLM. Learn the fundamentals. Use AI to go faster, not to skip the foundation.

final year student. AI engineer intern. building in public. most days it feels like I'm behind. but then I look back 6 months and realize I've shipped more than I thought was possible. if you're a student building things — keep going. the compounding is real.

hot take: most "AI agents" being shipped right now are just glorified if-else logic with GPT-4 in the middle. a real agent: → plans → uses memory → recovers from failure → loops until the goal is done we're still early. the real agentic era hasn't started yet.

what's the one project that made you feel like a real engineer for the first time? for me it was building a microservices backend that actually worked end-to-end. drop yours below ↓

honest question for builders: solo founder or cofounder? I've done both. solo is faster to start. cofounder is faster to scale. but the real answer depends on one thing: do you trust someone enough to split your equity AND your stress? drop your answer below ↓

things that separate good backend engineers from great ones: • they think about failure before success • they make systems observable by default • they write for the next dev, not the deadline • they say "it depends" and actually explain why • they push back on bad requirements early which one are you still working on? be honest ↓

OpenAI Codex just hit 3 million weekly users. think about that for a second. 3 million people using AI to write code every week. the question isn't "will AI replace developers?" the question is "are you the developer who uses AI or the one who gets replaced by one who does?"

5 things I wish I knew before building my first AI-powered backend: 1. LLM calls are expensive — cache aggressively 2. streaming responses feel 10x faster to users 3. prompt versioning matters more than you think 4. always validate LLM output before acting on it 5. observability from day 1, not day 100 learn these early. thank me later.

8 AM. laptop open. coffee cold. still building. if you're a developer shipping something this week — reply with one word that describes your current mood. I'll start: focused.