AI agentic workflows on large codebases
📰 Dev.to AI
Learn to build AI agentic workflows on large codebases with Edict v1.0 and improve your development efficiency
Action Steps
- Explore Edict's new features such as cursors for reading projections and saga timeouts
- Configure Edict v1.0 to work with your large codebase
- Build custom projections using Orleans grain to hold state directly
- Test and deploy Edict's improved skills package and MCP server
- Apply Edict's scheduling features to automate workflows
Who Needs to Know This
Developers and DevOps teams can benefit from Edict's new features to streamline their workflows and improve productivity
Key Insight
💡 Edict v1.0 provides new features to improve development efficiency on large codebases
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🚀 Edict v1.0 is out! Learn to build AI agentic workflows on large codebases and boost dev efficiency #AI #DevOps
Full Article
The first post went over some of its capabilities. Over the past week Edict went v1.0, adding cursors for reading projections after command dispatch (to close some eventual-consistency gaps), a new type of projection that holds state inside the Orleans grain directly instead of a table, saga timeouts, schedules, an improved skills package and MCP server that ships with Edict, and more. <a href="https://gith
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