Talentica Software, an AI-native product engineering company, has announced the winners of its third remote hackathon, held from July 31 to Aug 2. The event is part of company-wide efforts to instil an AI-native mindset in engineers and refine AI-native processes.
Now a much-anticipated event, the hackathon draws participants from all levels—freshers to engineering managers—and even non-engineers. Last February, we explored multi-agent systems; this edition centered on advancing SDLC (software development life cycle) automation. The event drew 303 participants in 38 diverse teams, tasked with creating SDLC-focused systems that deliver speed, efficiency, and quality—without duplicating existing solutions. These teams had software engineers, QAs, DevOps professionals, architects, and UX designers. Only original ideas made the cut.
Over an intense 48 hours, 38 teams brainstormed, problem-solved, and coded innovative solutions under the theme SDLC Automation. Projects were judged on SDLC relevance, level of automation, innovation, technical completeness, and performance & observability.
“Hackathons are crucial for cross-team collaboration, staying ahead of trends, and building hands-on skills for AI-native initiatives,” said Anindita Dey, Senior Manager – People Group. “Our participants have mastered the remote format to deliver outstanding results.”
Judges praised teams for prioritizing impactful use cases. “We always start with the user story,” said Aniket Shaligram, VP of Technology. “Seeing brilliant minds align to that and build AI agents delivering cutting-edge solutions is inspiring.”
The winning project from Team TX is an AI agent that expands limited or unclear requirements into a detailed PRD, factoring in budget, target market, customer base, time-to-market, and more. The winners bagged ₹1 lakh in gift vouchers and the green light to evolve their prototype into a market-ready product.
Team QB secured the runner-up spot with a solution featuring search capabilities, personalized profiles through NLP, template modifications, and LangChain-based tools. Team Virtual Vanguard won Best Idea, while Team AIncredibles won Best Presentation.
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