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Woodbury v2: Transforming AI Pipelines into Professional TypeScript Codebases
In this update, we dive into the **March 15–16 "Last Log,"** which marks the most significant architectural shift in Woodbury’s history: the transition to **v2 File-Backed Pipelines**. We are moving away from opaque JSON blobs and toward a future where every AI-generated automation is a **first-class TypeScript project**.
**What’s new in the v2 Architecture?**
* **Pipelines as Codebases:** Every pipeline is now a directory containing real `.ts` files, a `package.json`, and its own `tsconfig.json`.
* **Bidirectional Sync Engine:** Experience seamless synchronization where editing your code’s JSDoc annotations updates the visual graph, and changing the graph automatically manages your code imports.
* **Native Git Integration:** Pipelines are now repositories. You can **initialize, commit, and push** your automations directly to GitHub from the Woodbury dashboard.
* **AI-Driven "TODO.json" Protocol:** The Woodbury agent now follows a structured lifecycle, using a `TODO.json` file to track progress, update requirements, and ensure a pipeline is fully verified before declaring success.
* **Automated Testing & Transpilation:** Woodbury now auto-generates `.test.ts` files for your nodes and uses **Vitest** to verify logic at runtime, ensuring your AI-generated scripts are robust and reliable.
* **Conflict Resolution:** New smart detection features allow you to choose between **overwriting, editing, or creating new versions** when generating pipelines in existing directories.
**Why this matters:**
By treating AI workflows as real code, we make them accessible to standard developer tools, linters, and version control. This update bridges the gap between **visual automation and professional software engineering**.
**Key Technical Highlights:**
* Runtime TypeScript transpilation using `ts.transpileModule`.
* 11 new v2 API endpoints for advanced pipeline CRUD operations.
* Enhanced Monaco editor integration for a professional coding experience within the dashboard.
**Stay Connected:**
Explore the **Woodbury Architecture Reference** or the **Pipeline Lifecycle Contract** in the source docs to learn more about how we’re building the future of autonomous desktop automation.
#AI #TypeScript #Automation #Woodbury #LowCode #SoftwareEngineering #AgenticAI
---
Would you like me to create a **slide deck** summarizing these v2 architecture changes for a more formal presentation?
Видео Woodbury v2: Transforming AI Pipelines into Professional TypeScript Codebases канала Woodbury
**What’s new in the v2 Architecture?**
* **Pipelines as Codebases:** Every pipeline is now a directory containing real `.ts` files, a `package.json`, and its own `tsconfig.json`.
* **Bidirectional Sync Engine:** Experience seamless synchronization where editing your code’s JSDoc annotations updates the visual graph, and changing the graph automatically manages your code imports.
* **Native Git Integration:** Pipelines are now repositories. You can **initialize, commit, and push** your automations directly to GitHub from the Woodbury dashboard.
* **AI-Driven "TODO.json" Protocol:** The Woodbury agent now follows a structured lifecycle, using a `TODO.json` file to track progress, update requirements, and ensure a pipeline is fully verified before declaring success.
* **Automated Testing & Transpilation:** Woodbury now auto-generates `.test.ts` files for your nodes and uses **Vitest** to verify logic at runtime, ensuring your AI-generated scripts are robust and reliable.
* **Conflict Resolution:** New smart detection features allow you to choose between **overwriting, editing, or creating new versions** when generating pipelines in existing directories.
**Why this matters:**
By treating AI workflows as real code, we make them accessible to standard developer tools, linters, and version control. This update bridges the gap between **visual automation and professional software engineering**.
**Key Technical Highlights:**
* Runtime TypeScript transpilation using `ts.transpileModule`.
* 11 new v2 API endpoints for advanced pipeline CRUD operations.
* Enhanced Monaco editor integration for a professional coding experience within the dashboard.
**Stay Connected:**
Explore the **Woodbury Architecture Reference** or the **Pipeline Lifecycle Contract** in the source docs to learn more about how we’re building the future of autonomous desktop automation.
#AI #TypeScript #Automation #Woodbury #LowCode #SoftwareEngineering #AgenticAI
---
Would you like me to create a **slide deck** summarizing these v2 architecture changes for a more formal presentation?
Видео Woodbury v2: Transforming AI Pipelines into Professional TypeScript Codebases канала Woodbury
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16 марта 2026 г. 23:59:17
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