1c-feature-dev

Full 1C feature development is managed by orchestrating adaptive agent-driven workflows from discovery to validation. This approach structures planning, iterative exploration, architecture design, phased implementation, and code quality checks conforming to project standards.

The best way to structure 1C configuration modifications is through atomic implementation phases with acceptance criteria and checks. Code quality is ensured by tailoring the number of agents to task complexity and applying phase-specific artifacts.

Yes, automated workflows clarify ambiguous 1C requirements by asking questions before the architecture design phase. This early validation ensures all uncertainties are resolved prior to implementation, conforming to structured project standards.

1C feature automation supports early plan reviews by validating the design before implementation begins. This prevents post-implementation rework by ensuring the architecture and phased plan meet acceptance criteria early in the lifecycle.

Complex 1C capability additions are handled by adapting the number of agents and analysis depth to the task complexity. Progress is tracked by marking each phase as completed in the task list after generating its specific artifacts.

An orchestrated workflow for 1C module development should be used when adding new capabilities or modifying existing configurations. It is necessary when the task requires structured planning, iterative exploration, clarifications, and phased implementation checks.