How AI can supercharge DevEx—and why you should care

The experience that's slowing down your developers—and your business

92% of developers already use AI coding tools, and 70% say AI improves productivity. So why are so many engineering teams still stuck in slow cycles, missing deadlines, and rising attrition?

Because tools alone don’t fix developer experience (DevEx).

Throwing AI into a broken workflow won’t magically make it efficient. Developers are still drowning in context switching, outdated documentation, and slow feedback loops. In fact, 80% of developers report being unhappy at work, with 1 in 3 saying they hate their jobs. That’s not just a culture issue. It’s a performance issue, too.

The problem isn’t the lack of AI. It’s the lack of intentional, integrated DevEx design that fully leverages what AI can do.

While CX and UX have earned executive focus for years, DevEx has lagged. That’s changing. Today, AI and machine learning, when thoughtfully implemented, can give your DevEx a competitive advantage.

This blog explores how AI supercharges DevEx when done right—and why it belongs at the center of your business strategy.

How AI is reshaping the developer experience

AI can speed up tasks, but more importantly, it removes friction from development workflows. Here’s what it’s good at:

• Automating repetitive tasks: AI-powered tools like GitHub Copilot handle tedious work such as writing unit tests and documentation, allowing developers to focus on innovation. 
• Reducing cognitive load & preventing burnout: Developers face cognitive overload daily, juggling multiple tools and processes. AI helps reduce this burden by streamlining workflows. 
• Improving code quality and security: AI-assisted security tools like GitHub Advanced Security (GHAS) integrate security fixes directly into development workflows, making remediation seamless rather than a bottleneck.

While CX and UX have earned executive focus for years, DevEx has lagged. That’s changing. Today, AI and machine learning, when thoughtfully implemented, can give your DevEx a competitive advantage.

The 3 pillars of AI-powered DevEx

AI-powered DevEx is about building seamless, AI-enhanced workflows that drive measurable business impact. The foundation of great DevEx (see how our partnership with LaunchDarkly is elevating the developer experience) includes 3 core pillars:

1. Optimized workflows

Optimized workflows ensure that developers can move efficiently (see our case study on how a global insurance firm optimized their workflow) from ideation to deployment. AI-powered development tools like GitHub Copilot and Amazon Q automate repetitive tasks, reducing time spent on manual coding. 

CI/CD automation platforms such as GitHub Actions and Bitbucket Pipelines accelerate deployment cycles. Meanwhile, developer portals like Backstage and Compass centralize documentation, tame software sprawl, and streamline knowledge sharing across teams.

2. Developer productivity & AI integration

AI integration directly impacts how quickly and effectively developers can deliver high-quality software. AI-assisted coding suggestions from tools like GitHub Copilot minimize friction and improve developer productivity and efficiency.

Observability tools like Compass Health Scorecards provide real-time feedback loops, ensuring teams can proactively address issues before they become roadblocks. 

In addition, AI-powered documentation and onboarding tools like Atlassian Rovo further eliminate inefficiencies, allowing new developers to ramp up faster and existing teams to focus on high-value work.

3. Security & governance

Security and governance ensure that AI-driven workflows remain secure and compliant. SAST and Secrets Scanning solutions, such as GHAS, automate vulnerability detection, allowing for quick identification and remediation

AI-supported security tools embed security seamlessly into development workflows, preventing governance from becoming a bottleneck.

Shift-left security frameworks further reinforce security best practices by integrating governance checks early in the development cycle rather than as an afterthought.

Why AI-optimized developer experience is a business imperative (and how to measure it)

Investing in AI-driven DevEx isn’t just about making developers happy—it drives real business results. Organizations with optimized DevEx see:

• Faster feature releases: Accelerating time to market for competitive advantage.
• Lower turnover, higher retention: Reducing burnout and keeping top talent.
• Improved security and compliance: AI-powered security tools minimize human error.
• Higher engineering efficiency: Companies with streamlined DevEx experience faster deployment rates.

Measuring DevEx

Now that you understand the benefits of AI-driven DevEx, you may be wondering: How do I achieve success?

The good news is that DevEx is measurable. Just as companies track customer satisfaction and engagement, organizations can quantify DevEx with frameworks designed to highlight areas for improvement.

The frameworks below help businesses identify roadblocks and make smarter investments in AI-driven development.

• The SPACE Framework tracks DevEx across five key areas: Satisfaction & well-being, performance, activity, collaboration & communication, and efficiency & flow. These metrics provide a holistic view of developer productivity and experience.
• The DORA framework consists of four primary measurements: deployment frequency, lead time for changes, change failure rate, and mean time to recover.
• The Three Core Dimensions of DevEx focus on feedback loops (how quickly developers receive responses and unblock work), cognitive load (the mental effort required to complete tasks), and flow state (how easily developers can enter deep, uninterrupted work).

Your developers are your innovators-their experience matters

The best companies don’t wait until burnout and inefficiency force change. They lead the charge. AI-driven developer experience isn’t a future-tech luxury. It’s available now, and it’s essential for businesses that want to innovate.