<ul data-eligibleForWebStory="false"><li>AI agents are being marketed as tools to help ease developer workloads, but their real-world applications are often unclear, leading to optimism and confusion in the software development world.</li><li>To make AI agents effective, organizations need to define where these tools add value, such as in security where they can automate tasks like updates and vulnerability scans, freeing up developers for more strategic work.</li><li>Another promising use case for AI agents is in code review, testing, and setting up development environments, helping to spot bugs, review code, and improve quality while allowing human engineers to focus on creative problem-solving aspects.</li><li>Successful adoption of AI agents requires a balanced approach, ensuring junior developers gain hands-on experience, separating hype from reality, and actively experimenting with AI tools to determine their true impact.</li></ul>

Beyond the Hype: How AI Agents Can Actually Help Developers (If Used Right)

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