Datasheet
Webinar: On-Demand
Webinar: Upcoming Event
As the global economy fluctuates, engineering budgets are getting squeezed. While you might think you need to cut tools and headcounts, you can actually manage costs by improving engineering efficiency with the right technology.
Learn how you can strike the right balance between budget pressures and the need to innovate quickly. Read this checklist detailing five ways you can optimize application development efficiency, so you can do more — without spending resources on unnecessary tools, hiring more people, or exceeding your budget.
You’ll learn about:
- Speeding up software build times
- Identifying inefficiencies using actionable data
- Optimizing infrastructure costs
- Increase efficiency without compromising reliability
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Date and Time
January 1, 2024
Speakers
More Resources
eBook
OWASP API Security Top 10… or should it be 4?
APIs power everything, but their rapid growth—and the rise of AI-native systems—has created new blind spots in security.
eBook
Measuring the Impact of AI Development Tools
Discover how to evaluate AI coding tools with metrics for velocity, quality, and ROI. Unlock real productivity gains in software development.
On-demand Webinar
Measuring the Impact of AI in Software Development: A Data-Driven Approach
Are you truly measuring the impact of your AI investments in software development? While AI coding assistants are a game-changer for productivity and code quality, many organizations struggle to quantify their true value. Without a clear measurement framework, you can't optimize your AI strategy or justify the return on investment. Join Nathen and PB for a practical, data-driven webinar on how to measure and maximize the benefits of AI in your development pipeline. Drawing on real-world insights, you'll learn how to go beyond basic adoption metrics and measure what truly matters. In this webinar, you will discover how to: Establish a baseline: Understand your team's current performance before you implement AI. Track what matters: Identify and measure key metrics like development velocity, code quality, and developer satisfaction. Compare and analyze: Use a proven cohort-based methodology to compare AI-assisted teams with traditional workflows. Get a holistic view: Balance quantitative data with qualitative insights to build a complete picture of AI's impact. Learn how Harness Software Engineering Insights—built in collaboration with Google Cloud—provides the comprehensive framework you need to make informed, data-driven decisions and drive lasting improvements in your software delivery.
Research Report
The State of AI in Software Engineering | Resources
AI-powered coding alone isn’t enough. True software delivery velocity requires end-to-end automation and intelligent governance across the entire lifecycle.
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