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docs/blog/act-via-code.mdx

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For software engineering, we believe the path forward is clear: agents need a framework that matches how developers think about and manipulate code. While decades of static analysis work gives us a strong foundation, traditional code modification frameworks weren't designed with AI-human collaboration in mind - they expose low-level APIs that don't match how developers (or AI systems) think about code changes.
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We're building a framework with high-level APIs that correspond to how engineers actually think about code modifications. The APIs are clean and intuitive, following clear [principles](/docs/principles) that eliminate sharp edges and handle edge cases automatically. Most importantly, the framework encodes rich structural understanding of code. Consider this example:
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We're building a framework with high-level APIs that correspond to how engineers actually think about code modifications. The APIs are clean and intuitive, following clear [principles](/introduction/guiding-principles) that eliminate sharp edges and handle edge cases automatically. Most importantly, the framework encodes rich structural understanding of code. Consider this example:
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```python
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# Access to high-level semantic operations
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The documentation for such a framework isn't just API reference - it's education for advanced intelligence about how to successfully manipulate code at scale. We're building for a future where AI systems are significant contributors to codebases, and they need to understand not just the "how" but the "why" behind code manipulation patterns.
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Crucially, we believe these APIs will extend beyond the codebase itself into the broader software engineering ecosystem. When agents can seamlessly interact with tools like Datadog, AWS, and other development platforms through the same clean interfaces, we'll take a major step toward [autonomous software engineering](/about#our-mission). The highest leverage move isn't just giving agents the ability to modify code - it's giving them programmatic access to the entire software development lifecycle.
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Crucially, we believe these APIs will extend beyond the codebase itself into the broader software engineering ecosystem. When agents can seamlessly interact with tools like Datadog, AWS, and other development platforms through the same clean interfaces, we'll take a major step toward [autonomous software engineering](/introduction/about#our-mission). The highest leverage move isn't just giving agents the ability to modify code - it's giving them programmatic access to the entire software development lifecycle.
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## Codegen is now OSS
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