The 2025 DORA Report Audits AI Coding After the Commit

📰 Medium · Startup

The 2025 DORA Report highlights the importance of auditing AI coding after commit, with 90% of respondents using AI and 5,000 participants revealing the need for release control to prevent failures

intermediate Published 19 Jun 2026

Action Steps

Read the 2025 DORA Report to understand the current state of AI coding and release control
Implement release control mechanisms to prevent failures and ensure quality code
Use AI auditing tools to monitor and improve AI coding practices
Develop a strategy for funding release control to prioritize quality over speed
Analyze the report's findings to identify areas for improvement in your own organization's AI coding and release management practices

Who Needs to Know This

Developers, DevOps teams, and product managers can benefit from understanding the report's findings to improve their AI coding and release management practices

Key Insight

💡 Release control is essential to prevent failures and ensure quality code, even with AI-powered coding

Key Takeaways

The 2025 DORA Report highlights the importance of auditing AI coding after commit, with 90% of respondents using AI and 5,000 participants revealing the need for release control to prevent failures

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Title: The 2025 DORA Report Audits AI Coding After the Commit

URL Source: https://medium.com/kairi-ai/the-2025-dora-report-audits-ai-coding-after-the-commit-8d28427ad77b?source=rss------startup-5

Published Time: 2026-06-19T22:01:01Z

Markdown Content:
# The 2025 DORA Report Audits AI Coding After the Commit | by James Kuhman | KAIRI | Jun, 2026 | Medium

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## Release Control

# The 2025 DORA Report Audits AI Coding After the Commit

## Nearly 5,000 respondents and 90% AI use reveal the CEO test: fund release control before faster code pushes failure into customers.

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The 2025 DORA Report Audits AI Coding After the Commit

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