AI-Assisted Engineering for a FAST TV Streaming Platform

AI-assisted software engineering to build and ship a personalized, multi-platform short-form streaming service in half the planned development time.

The Challenge

What was standing in the way

Viewer preference had rapidly moved to mobile-first, bite-sized entertainment, and Hungama saw a window to launch a differentiated short-form (micro-drama) streaming service. Short-form video platforms are unforgiving: user sessions run for minutes, catalogues span thousands of clips, and discovery is the core product. Consequently, real personalization, flexible monetization, and multi-platform reach all had to be in the initial release rather than deferred to later phases. Building that foundation from scratch using traditional development workflows would have pushed the product launch well past the market window.

What DCT Built

The solution in production

DCT brought its short-form streaming product foundation, customized it to Hungama’s specific requirements, and ran the entire delivery on Claude Code. Claude Code operated as the primary development environment with MCP connectors linked directly to Atlassian (Jira + Confluence) for live acceptance criteria and Figma for token-level design accuracy.
The platform delivered a complete short-form streaming ecosystem covering iOS and Android apps, a mobile-parity web client, CMS services, and an AI personalization service. Claude Code assisted across the entire lifecycle-handling requirements intake, UI implementation, edge-case test generation, pre-human diff code reviews, and synthetic test-data creation. This AI-assisted environment allowed a small engineering team to maintain high feature velocity across four codebases simultaneously

AI Suite Applied

The agents behind the deployment

Claude Code (Claude Opus & Claude Sonnet)

AI-assisted development environment used for core software engineering, UI implementation, code reviews, and feature velocity maintenance across multiple codebases.

Atlassian MCP Connector (Jira + Confluence)

Direct workflow integration connecting development directly to live acceptance criteria and requirement specifications rather than static tickets.

Figma MCP Connector

Design-to-code alignment agent ensuring shipped UI components matched the target design system at the exact token level.

Business Impact

What changed

✓
15 weeks of planned development delivered in 6–8 weeks.
✓
Mobile-parity web client (catalogue, player, authentication, subscriptions, and personalization) built in 4–5 weeks against existing backend APIs.
✓
40% reduction in code review time.
✓
50% reduction in test authoring effort.
✓
Design handoff round trips reduced from 3 per feature down to 1.
✓
Three surfaces shipped on one backend (iOS, Android, and Web) with behavioral personalization live from day one.
✓
50,000+ registered subscribers achieved in the first quarter of launch.

Customer Endorsement

“We needed to be in market while the shift to short-form was still an opening, not a crowded category. DCT's team, working with Claude, delivered a personalised platform across mobile and web in a timeframe that would normally have been a single-platform build - and we passed 50,000 registered subscribers in the first quarter.”

Related Case Studies

All case studies

AI SuiteHealthcare Technology
Healthcare Technology: Health Data Platform Company
Building a Fully Operational AI Center of Excellence
Enterprise-wide AI capability - not a portfolio of individual experiments.
Read full case study
AI SuiteEnterprise Technology
ObserveIQ
From Monitoring to Intelligence: AI-Powered Observability
Operations shifted from reactive to proactive - issues surfaced before they escalate.
Read full case study
AI SuiteTravel
Travel: Media and Events Company
Transforming Travel Operations with AI-Powered Document Intelligence
80% less manual itinerary-processing effort - an operation that scales with volume, not against it.
Read full case study