One of the fundamental difference between JuliaBUGS and DynamicPPL is that JuliaBUGS' simpler syntax makes it amendable to more precise analysis. In fact, JuliaBUGS compiles a probabilistic programming language to graphical models.

Code Quality

Goal: Ensure better testing and documentation.
Tasks:

• Integrate and test functionality with other packages.
  Refer to: Issue #245 (this is not a Turing 1.0 task, but rather a task part of the JuliaBUGS research project)

Integration with Turing

Goal: Enhance integration with the Turing framework.
Tasks:

• Address compatibility issues with Turing.
  Refer to: Issue #2425

Performance Improvements

• Parallel Computing Potentials
  Explore parallel computing capabilities to enhance performance.
  Refer to: Issue #209 (again, not a Turing 1.0 task, but rather a future direction for JuliaBUGS)
• Gibbs Sampling
  Ensure correctness through more rigorous testing and improve performance.