31 posts on AI agents, coding, and the craft of shipping software.
I launched Agentic Up as a solo AI agent studio in Bengaluru and tried 5 pricing models. Some made money. Some lost money. One actually became a sustainable business.
Your agent remembers everything in the current conversation. That's both its superpower and its biggest weakness. Here's how to manage context windows so your agent stays focused and cost-efficient.
My first production agent cost ₹12,000/month in API calls. After applying these 10 strategies, the same agent runs on ₹4,500/month. Here's exactly how — with code, expected savings, and tradeoffs.
Building an agent that works on your laptop is step one. Making it run reliably in production — cost-controlled, monitored, failure-resilient — is where most attempts fail. Here's the deployment guide I wish existed.
Your agent will fail. Not sometimes — regularly. The difference between a demo agent and a production agent is how it handles those failures. Here are the patterns that kept my agents running.
Your agent is doing something strange and you have no idea why. Here's exactly what to log, how to structure it, and how to debug agents in production.
Four workflow patterns every agent developer needs — sequential, parallel fan-out, conditional branching, and loop with human-in-the-loop. With real code and production lessons.
Pricing is the hardest part of selling AI agent services. Here's exactly how I price — the numbers, the reasoning, and the mistakes that led to this model.
Three pricing models explained with AI-specific examples, scoping traps to avoid, and a proven method for raising prices over time.
The AI job market in Bengaluru is real but noisy. Here's what companies are actually paying, what skills command premium, and how to stand out as a developer.
बेंगलुरु में एआई नौकरी बाजार असली है लेकिन शोर भी बहुत है। कंपनियां वास्तव में कितना भुगतान कर रही हैं, कौन से कौशल प्रीमियम कमाते हैं, और एक डेवलपर के तौर पर कैसे अलग दिखें।
Every AI developer in India hits the payment wall: 'This tool needs an international card.' Here's what actually works with UPI, RuPay, and Indian cards in 2026 — plus workarounds for the tools that don't.
Every agent framework promises the same thing: easy multi-agent systems. After building production agents with all of them, here's where each one actually works and where it falls apart.
Most AI tool comparisons ignore the fact that Indian developers face different constraints — currency conversion, payment blocks, latency from US servers. Here's what actually works from Bengaluru.
ज्यादातर एआई टूल तुलना इस बात को अनदेखा करते हैं कि भारतीय डेवलपर्स के सामने अलग बाधाएं हैं — करेंसी कन्वर्जन, भुगतान ब्लॉक, अमेरिकी सर्वर से लेटेंसी। बेंगलुरु से क्या वास्तव में काम करता है।
Open source AI tools are proliferating fast. Most of them are not worth your time. These are the ones that survived my brutal evaluation: must be actually useful for a solo developer shipping products.
I built an AI code review agent that posts comments on GitHub PRs. The architecture was the easy part. The failure modes — hallucinated bugs, missing real issues, arguing with human reviewers — nearly made me scrap the project.
I built the same research agent in both CrewAI and LangGraph. One felt natural from the start. The other made me appreciate why state graphs exist. Here's the honest comparison.
I've been a heavy user of all three for 6 months. They're not interchangeable — each excels at different things. Here's the honest comparison on real coding tasks.
I've shipped 3 production support agents for startups in Bengaluru. Here's the architecture, the code, and the hard-won lessons — from RAG to escalation to cost per conversation.
You've used ChatGPT. You've maybe used Claude or Copilot. But building an agent — something that acts on its own — feels like a different skill. It's not. Here's the tutorial I wish existed when I started.
आपने ChatGPT इस्तेमाल किया है। शायद Claude या Copilot भी इस्तेमाल किया है कोडिंग में मदद के लिए। लेकिन एजेंट बनाना — जो अपने आप कार्रवाई करे — एक अलग कौशल लगता है। ऐसा नहीं है। यह ट्यूटोरियल वह है जो मैं शुरू में चाहता था।
एआई से पैसे कमाने के चार असली रास्ते हैं एक सोलो डेवलपर के लिए। मैंने सब आज़माए हैं। यह है जो वास्तव में राजस्व उत्पन्न करता है, और क्या समय की बर्बादी है।
There are four real paths to making money with AI as a solo developer. I've tried all of them. Here's what actually generates revenue, and what's a waste of time.
Starting an AI development business from India is different from starting one in SF or London. Different constraints, different opportunities, different mistakes. Here's what I learned.
LangGraph keeps getting recommended but every tutorial assumes you already know LangChain. Here's a beginner-friendly walkthrough — from state graphs to a working agent — without the chain-of-thought abstraction.
OpenAI's function calling API lets the model request function execution — fetch data, interact with APIs, compute things. Here's how to use it from scratch.
I've spent the last year trying to make AI agents tell the truth. Not perfectly — just reliably enough that I don't have to double-check every output. Here are 7 techniques that moved the needle.
Most AI agent projects fail not because of bad models, but because of bad scoping. The Vertical Agent Method is a framework that forces you to pick one workflow, build one agent, and ship in 14 days.
If you're a developer who's used ChatGPT but never built an agent, the category can feel confusing. Here's a clear explanation of what agents are, how they work, and when they matter.
अगर आप एक डेवलपर हैं जिसने ChatGPT इस्तेमाल किया है लेकिन एजेंट कभी नहीं बनाया, तो यह कैटेगरी भ्रमित करने वाली लग सकती है। यह गाइड एजेंट क्या हैं, कैसे काम करते हैं, और कब मायने रखते हैं — सब स्पष्ट करती है।
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Practical posts on shipping agents, automating work, and building in public. No hype, no fluff.
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