University of Kwazulu-Natal

Pdf The State Of Ai Code Assistants In Enterprises

Bonisiwe Shabane
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pdf the state of ai code assistants in enterprises

This IDC report, based on a worldwide survey of over 1,000 IT professionals, reveals the significant benefits gained by organizations with widespread, long-term adoption. Learn how they are improving code quality, accelerating time to market, and freeing developers for higher-value tasks. You can update your preferences, unsubscribe or delete your account at any time by logging into the site, or via the links at the bottom of any of our emails. The Register Biting the hand that feeds IT Copyright. All rights reserved © 1998–2025

<iframe src="https://www.onlinewhitepapers.com/information-technology/idc-the-state-of-ai-code-assistants-in-enterprises/" name="iFrame Name" scrolling="Yes" height="100%" width="100%" style="border: none;"></iframe> Go beyond the hype with the latest IDC report, “The State of AI Code Assistant Adoption.” Based on a global survey of over 1,000 IT professionals, this report uncovers 9 tangible benefits of long-term... Learn the essential strategies for successful implementation and discover how to free up your developers for higher-value work. Download the complimentary report today. “Agentic AI’s primary role in organizations is that of an amplifier. It magnifies the strengths of high-performing organizations and the dysfunctions of struggling ones.”

—2025 DORA State of AI-Assisted Software Development report AI coding assistants amplify your organization’s strengths—and its dysfunctions. Ninety percent of developers now use these tools to write code faster than before. But when this increased output hits a delivery pipeline built for lower volumes, the entire system slows down. Organizations deliver software later, not sooner. Developers must integrate more branches, write more tests, and fix more bugs.

Manual merge procedures, testing, and deployments become bottlenecks. Work accumulates at these handoff points faster than teams can clear it. According to the 2025 DORA report, 77% percent of organizations deploy once per day or less. Twenty percent deploy only monthly or quarterly. When AI increases code output, manual processes can’t keep pace.

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This IDC Report, Based On A Worldwide Survey Of Over

This IDC report, based on a worldwide survey of over 1,000 IT professionals, reveals the significant benefits gained by organizations with widespread, long-term adoption. Learn how they are improving code quality, accelerating time to market, and freeing developers for higher-value tasks. You can update your preferences, unsubscribe or delete your account at any time by logging into the site, or v...

<iframe Src="https://www.onlinewhitepapers.com/information-technology/idc-the-state-of-ai-code-assistants-in-enterprises/" Name="iFrame Name" Scrolling="Yes" Height="100%" Width="100%" Style="border: None;"></iframe> Go

<iframe src="https://www.onlinewhitepapers.com/information-technology/idc-the-state-of-ai-code-assistants-in-enterprises/" name="iFrame Name" scrolling="Yes" height="100%" width="100%" style="border: none;"></iframe> Go beyond the hype with the latest IDC report, “The State of AI Code Assistant Adoption.” Based on a global survey of over 1,000 IT professionals, this report uncovers 9 tangible bene...

—2025 DORA State Of AI-Assisted Software Development Report AI Coding

—2025 DORA State of AI-Assisted Software Development report AI coding assistants amplify your organization’s strengths—and its dysfunctions. Ninety percent of developers now use these tools to write code faster than before. But when this increased output hits a delivery pipeline built for lower volumes, the entire system slows down. Organizations deliver software later, not sooner. Developers must...

Manual Merge Procedures, Testing, And Deployments Become Bottlenecks. Work Accumulates

Manual merge procedures, testing, and deployments become bottlenecks. Work accumulates at these handoff points faster than teams can clear it. According to the 2025 DORA report, 77% percent of organizations deploy once per day or less. Twenty percent deploy only monthly or quarterly. When AI increases code output, manual processes can’t keep pace.