Harbinger is redefining modern software development with agentic AI. By combining deep agile expertise with cutting-edge AI integration, we enable organizations to accelerate product delivery, eliminate inefficiencies, and future-proof their SDLC.
Our agentic AI approach empowers engineering leaders to shift from reactive development to proactive innovation at scale, with speed, and without complexity.
Explore how our agentic AI approach is shaping the future of software development straight from the perspective of our business leaders.
Tune in as Srikanth Pattathil, Chief Technology Officer, Harbinger Group chats with Shweta Kulkarni, Vice President – Projects, Harbinger Group about the evolution of Agile in the AI era, what agentic AI truly means for development teams, and how even small to mid-sized companies can drive innovation without massive budgets.
How is traditional Agile adapting to AI?
Agile’s core principles such as user focus, iteration, and collaboration remain the same. However, the rise of tools like GitHub Copilot and JIRA’s AI plugins signals a shift. Agile is evolving into Cognitive Agile, where AI augments user story creation, code reviews, and automation.
What sets agentic AI apart from traditional AI?
Traditional AI responds to commands. Agentic AI takes initiative. It identifies issues, determines solutions, and takes action, such as fixing code and initiating pull requests. It plays an active, autonomous role across the development lifecycle.
Is agentic AI only viable for large enterprises?
No. The entry barriers have come down. Startups and mid-sized teams are successfully leveraging these tools. The key is to start small, focus on measurable value, and scale based on outcomes—not budget.
Where should CTOs begin their AI adoption journey?
Start by identifying pain points such as manual test backlogs, slow automation, or delayed user story creation. Focus efforts where AI can have immediate and meaningful impact and adopt solutions with purpose.
What cultural changes support successful AI-led development?
Effective adoption depends on more than technology. It requires a culture of experimentation, continuous upskilling, and people-first leadership. Teams must feel empowered to test, learn, and evolve.
What common misconceptions should leaders be aware of?
AI is not a magic button. It won’t replace your team, but it can enhance their productivity. Leaders must also consider risks like open-source licensing and ensure AI-generated outputs align with business goals and context.
Transform your software development strategy with agentic AI.