Field notes from the build
Honest takes on AI, MVP economics, and what we've learned shipping software in India and globally.
Is the AI bubble real? A builder's honest 2026 read
Every few weeks a headline says the AI bubble is about to burst — right after another says AI will replace everyone by Tuesday. Both can't be true. Here's our unhyped read on what's froth, what's foundation, and how to build for the part that lasts.
Agentic coding in production: a 2026 field guide
Everyone has an agent writing code now. Almost no one has it shipping to production safely. This is the complete loop we run on paid client work in 2026 — the file structure, the guardrails, the review process, and the failure modes nobody warns you about.
The AI coding model wars just got real (June 2026)
Microsoft entered the ring, Google shipped Gemini 3.5 Flash into Antigravity, OpenAI put Codex on AWS, and Anthropic gave Claude dynamic workflows. Four launches, two weeks. Here's our working-shop take on what matters and what's noise.
Vibe coding in 2026: what it's actually good for (and where it bites)
Half the engineers we know vibe-code their way through a Saturday side project and half their Monday standup. Here's where vibe coding earns its keep in 2026 — and the failure modes nobody wants to admit on Twitter.
Spec-driven development: how teams actually ship AI-written code in 2026
"Vibe coding" got us all to a demo. Shipping production software with AI needs something stronger — a spec-first loop with executable checks. Here's the workflow we've standardised on in 2026.
MCP explained: the protocol making AI agents composable in 2026
Every major AI lab now ships MCP support. Cursor, Claude Desktop, Zed all consume MCP servers natively. Here's what Model Context Protocol actually is, why it matters, and how to think about building for it.
AI agents in production: 5 patterns that actually work
Every founder wants an AI agent. Most demos are smoke. Here are the 5 architecture patterns we've shipped that actually survive in production — and the failure modes we keep watching teams walk into.
AI chatbot integration: a practical guide for SaaS founders
Everyone's shipping an AI chat in their SaaS. Most of them are bad. Here's how to ship one that actually helps users — and what it costs in dollars, latency and trust.
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