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The timezone juggling, the cultural code-switching, the payment friction, and the surprising advantages. An honest founder's perspective on building an India-based agency serving US, UK, and Australian clients.
A deep dive into the India AI Impact Summit 2026 at Bharat Mandapam — $200B in pledged investments, sovereign AI models, the MANAV framework, and what it all means for builders and founders.
Every agency claims to 'use AI' now. But there's a fundamental difference between bolting AI onto existing workflows and building an agency around AI from the ground up. Here's why we made that choice and what it actually means.
We migrated three production projects from Celery to Django's new Tasks framework. Two went smoothly. One was a disaster. Here is everything we learned.
Async Django is production-ready in 2026, but landmines still exist. Four real projects, benchmarks, and a framework for deciding when async actually helps.
The network latency between your Django app and your FastAPI ML service is probably longer than inference itself. Here is how to serve models from Django directly.
We rebuilt a React SPA as a Django + HTMX app. 847KB of JavaScript became 48KB. Here is every pattern, rough edge, and performance win from the migration.
Most DRF vs FastAPI comparisons are written by people who only use one. We ship both in production. Here is what actually matters and when to choose each.
Building a modern food delivery platform with real-time order tracking, smart cart systems, and mobile-first design using Next.js, FastAPI, and MongoDB. Here is what we learned about performance at scale.
Gartner predicted AI agents would enter the trough of disillusionment in 2026. They were right. After a year of failed deployments, runaway costs, and overpromised demos, the market is finally getting serious about what agents can actually do.
We have been using AI tools at CODERCOPS for over two years now. The shift from 'helpful autocomplete' to 'genuine collaborator' happened gradually, then all at once. Here is what changed, what surprised us, and what we got wrong.
AI-generated phishing, deepfake CEO fraud, automated vulnerability exploitation — the attacks got smarter. But so did the defenses. We break down both sides of the AI cybersecurity arms race and what developers should actually do about it.