Not tutorials. Not theory. Real production code — Django, React, FastAPI & AI/ML built end-to-end by an engineer who ships.
01 / Tutorials
Step-by-step series for Django, React, FastAPI & AI. Every episode ships a working piece of the product.
02 / Projects
Production-grade repos, starter templates, design systems, and the dev tools we actually use.
03 / Insights
Architecture decisions, debugging post-mortems, and the thinking behind every technical choice.
Production-ready systems, custom microservices, and enterprise-grade intelligence deployed for your business.
Tailored conversational agents integrated seamlessly with WhatsApp, Telegram, or internal website backends to automate client interactions.
Contact UsSecure, private knowledge bases allowing internal teams to query proprietary company documentation with 90%+ grounded accuracy.
Contact UsCustom high-performance Python, Django, or FastAPI microservices designed to eliminate manual data pipelines and reduce operational overhead.
Contact UsAn autonomous, full-stack content generation pipeline designed to solve the bottlenecks of multi-platform branding (specifically for DevRel engineers, tech creators, and founders). Instead of simple prompt-and-response text generation, this system orchestrates a syndicate of 10 specialized CrewAI agents that run sequentially.
Orchestrates 10 specialized agents using CrewAI:
Decoupled microservices pattern providing resilient, parallel execution:
A 7-phase AI pipeline that turns a topic into a publish-ready LinkedIn post. No LLM is trusted to count or measure. Python does it. The LLM only writes.
Writing one LinkedIn post the right way — research, draft, edit, format, rhythm check — takes a senior engineer 30–45 minutes.
This pipeline produces a publish-ready post in under 60 seconds.
Nine deterministic Python checks run before the post is approved:
Direct access to Digamber — no slides, no scripts. Bring your actual codebase and we work on it together.
“We don’t teach syntax.
We build products.”
Most coding tutorials stop at “it works on localhost.” We don’t. Every Coding India series ends with a deployed, tested, documented project you can put on your portfolio — or ship to real users.
Digamber Jha built Coding India out of frustration with courses that left developers stuck the moment they tried something real. The curriculum is designed backwards: start with the finished product, then understand every decision that got you there.
Python, Django, React, AI — taught the way working engineers actually think. No filler. No padding. Just the parts that matter.