AI-Powered High-Performance Teams
Transform to AI-Powered High-Performance Teams
Are you a Technology Leader overseeing software engineering teams, and looking for ways to enhance their productivity, ability to meet time-to-market deadlines, ensuring the quality of deliverables, and facilitating collaboration among distributed teams?
DevOn has built an excellent reputation for providing our clients with high-performance development teams dedicated to customer-centric innovation. Today, our teams execute at an even higher level by incorporating AI enhancements that increase task automation and improve the overall efficiency of software delivery.
DevOn’s use of AI leads to faster development cycles, reduced errors, and enhanced team member productivity. AI-powered teams give engineers the ability to focus on strategic and high-impact tasks. DevOn AI-powered teams have the potential to improve Development and Quality Engineering team efficiency by up to 40-50% through automation, intelligent decision-making through AI-aided acceleration.

DevOn’s Unique Approach to AI-Powered
High-Performance Teams
Since its inception, DevOn has challenged the stagnant waters of the traditional waterfall model, instead embracing Agile principles and Extreme Programming (XP). DevOn High-Performance development teams are trained to foster collaboration and adaptability by leveraging the DevOps methodology. We seamlessly bridge Development and Operations activities to support continuous delivery and streamlined processes. DevOn teams’ expertise in applying DevOps practices builds project momentum by yielding rapid iterative progress.
As the next-gen move, DevOn now blends AI-based software engineering methodologies, shaking up software development with AI tool integration and turbocharged automation. These innovations drive continuous improvement and personalized development support, empowering teams to churn out top-tier software faster, slashing time-to-market. With AI upgrades, teams can ride the data wave, boost developer teamwork, and accelerate innovation levels, ensuring victory in today’s fast-paced digital landscape.
Client Case Studies
“The DevOn team was quick to recognize the opportunities that emerging AI tools bring to DevOps. It’s safe to say that Co-pilot has become an indispensable part of our programming toolbox. It helps automate repetitive tasks, suggest code snippets, and reduce debugging time. This frees up developers to focus on more creative and strategic aspects of their work. The upside is that our user interface now features standardized language that is easy to read and useful, improving the overall user experience.
By embracing these technologies, the Devon team has positioned itself at the forefront of industry trends and set a new standard for efficiency and quality in DevOps and UI development.”
Abhijeet Sangwan
CTO Peakzi, US
The client is a leading eCommerce company specializing in B2B sales of factory equipment. They partnered with us to develop a comprehensive software solution for new products, adding features for existing products and improving the QA processes.
DevOn team introduced the team to GitHub Copilot and invited interested members to explore the tool. Several of us volunteered, marking the start of the journey of integrating AI into our Software Development Life Cycle (SDLC). As we familiarized ourselves with the client’s products, processes, and tech stacks, we identified opportunities for improvement. Guided by Devon’s core values of trust, high performance, and collaboration, we turned our attention to AI-driven solutions. Our initial focus was on implementing Atlassian AI for Jira and Confluence, as well as GitHub Copilot for development and automation. The close collaboration between Devon and the client was pivotal in successfully adopting and optimizing these AI tools to enhance our workflow.
“If a Scrum team is 10x faster than a dysfunctional team, and AI boosts speed 4x, the Scrum team remains 10x ahead using AI. By integrating AI as a team member, we aim for a synergy that could make the team 25x faster.”

Jeff Sutherland
Inventor and Co-Creator of Scrum and Scrum@Scale
Level Up Your Coding with GitHub Copilot
GitHub Copilot helped developers push better-quality code to production. Developers retained 88% of the code suggested by GitHub Copilot in the editor and around 90% of developers reported that they committed code containing Copilot suggestions.
GitHub Copilot helped developers write better code and upskill while working. 90% of developers reported writing better code with GitHub Copilot—and roughly 95% of developers learned from Copilot suggestions.
Giving you an unfair advantage
DevOn effectively surpasses the traditional challenges of offshoring by leveraging the integration of AI, resulting in swift and superior software development.

Giving you an unfair advantage
DevOn effectively surpasses the traditional challenges of offshoring by leveraging the integration of AI, resulting in swift and superior software development.
Waterfall | Scrum | DevOps | AI-Powered Teams | |
---|---|---|---|---|
Speed of Value Delivery | X | X*1.3 | X*1.7 | 2X+ |
Cross-functional engineers | ✔️ | ✔️ | ✔️ | |
Agile mindset | ✔️ | ✔️ | ✔️ | |
XP practices | ✔️ | ✔️ | ✔️ | |
DevOps, CI/ CD | ✔️ | ✔️ | ||
AI integrated software development | ✔️ | |||
AI integrated quality engineering | ✔️ |
Get started now!
Improve Software Engineering Teams Efficiency with AI
DevOn AI team has the potential to improve Development and Quality Engineering team efficiency by up to 40-50% through AI integrated software development process, automation and intelligent decision-making. These improvements can lead to faster development cycles, reduced errors, and enhanced productivity among team members.
Meet your SME’s

Priyadarshini Angolkar
Client Delivery Lead

Mayank Shekar
Client Delivery Leader
Contact us
Achieve outstanding performance with AI services and solutions.
Latest Blog Posts
Enhancing software quality with AI assistance
Our objective at Devon is to efficiently develop high-quality software. Given that AI (Artificial Intelligence) is being widely used now and many tools leverage it to address various software development challenges, we intend to fully harness its capabilities.
Exploring GitHub Copilot: A Java Developer’s Journey
My team has been exploring GitHub Copilot for a few months now. We’ve been using it with Java and React for our projects, along with IntelliJ and VS Code IDEs. Being a backend Java developer, I would like to share my learning so far in this write-up, especially about using GitHub Copilot with Java programming language.