1c-feature-dev-enhanced

Developing a 1C:Enterprise feature requires orchestrating requirement discovery, code exploration, architectural design, phased implementation, and rigorous code review. This Skill automates that entire workflow using specialized AI agents for each stage to ensure quality and traceability.

Automating 1C feature implementation uses an adaptive AI agent workflow that dynamically selects agents based on task complexity. It integrates BSL LSP for language server support and RLM for quality, guiding step-by-step code generation and early validation.

Yes, the 1C development workflow integrates directly with BSL LSP and RLM tools. This integration enhances code quality, provides language server protocol support during implementation, and ensures traceability throughout the architectural design and review phases.

Yes, you can use this workflow for complex 1C accounting system features requiring external API integration. The adaptive agent allocation assesses task complexity and scales the multi-phase process, handling requirement discovery, architectural design, and phased implementation seamlessly.

You should use an AI-orchestrated workflow for 1C feature development when you need end-to-end guidance from initial analysis to final documentation. It is ideal for ensuring compliance with best practices, early plan validation, and rigorous code review after implementation.