<h2>Must know</h2>
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<li><strong>AI agents are eating software development</strong>: AI coding agents are rapidly automating software development, shifting the bottleneck from writing code to validating and orchestrating AI outputs. Companies like StrongDM are building ‘Software Factories’ where AI autonomously generates and tests code, while OpenAI’s Codex App and GitHub’s Agent HQ are enabling multi-agent workflows. This means engineers need to focus on architectural judgment, system design, and verification, rather than just coding, as AI handles more implementation details. <a href="https://app.daily.dev/feed-by-ids?id=JT1zQVK71&amp;id=JT1zQVK71&amp;id=XZAaCCo5T&amp;id=XZAaCCo5T&amp;id=ZG5cN6MhB&amp;id=ZG5cN6MhB&amp;id=ZcyyWp9ek&amp;id=ZcyyWp9ek&amp;id=Ysg1SlbE4&amp;id=tCyFDtJod" target="_blank" rel="noopener nofollow">Read more</a></li>
<li><strong>AI’s impact on software development and engineering roles</strong>: AI tools are fundamentally reshaping software development, shifting the focus from manual coding to higher-level strategic work like architecture, system design, and verification. While AI can accelerate code generation, it also introduces new challenges such as increased technical debt, security vulnerabilities, and a ‘comprehension gap’ among developers. This transformation means junior developers face a steeper learning curve as entry-level tasks are automated, while senior engineers become more productive by leveraging AI as an assistant. The industry is grappling with how to maintain code quality and foster deep understanding in an AI-assisted world, emphasizing the need for strong engineering fundamentals and human oversight. <a href="https://app.daily.dev/feed-by-ids?id=0wFgrbFqP&amp;id=38Z3GoNhC&amp;id=Wvk48DEZ7&amp;id=cnjrcboRc&amp;id=gvdBYayNu&amp;id=i6YKrCzlJ&amp;id=msRcSBSy1&amp;id=uYi4r0TWL&amp;id=To3H4yAcP&amp;id=Ug2ZynTC4" target="_blank" rel="noopener nofollow">Read more</a></li>
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