Remove stale developer roadmap from README

README.md

@@ -13,8 +13,8 @@
 
 [Quick start](#quick-start) • [What you get](#what-you-get) •
 [Commands](#useful-commands) • [Configuration](#configuration) •
-[Roadmap](#developer-roadmap) • [Debugging](#debugging) •
-[Contributing](#contributing) • [Telemetry](#data-and-telemetry)
+[Debugging](#debugging) • [Contributing](#contributing) •
+[Telemetry](#data-and-telemetry)
 
 Run, compare, visualize, and track machine learning experiments right in VS
 Code. This extension uses [DVC](https://dvc.org/), an open-source data
@@ -164,54 +164,6 @@ These are the VS Code [settings] available for the Extension:
 [workspace level]:
   https://code.visualstudio.com/docs/getstarted/settings#_workspace-settings
 
-## Developer roadmap
-
-We are working on increasing the quantity and quality of DVC features supported
-by this GUI. Remember that you can always use `dvc` commands from the
-_Integrated Terminal_!
-
-- **DVC metafile editor** (2022 Q3) Wouldn't it be cool to manage stages,
-  parameters, metrics, data and model paths, and other metadata in-place inside
-  corresponding [DVC metafiles]? E.g. `dvc.yaml` and `.dvc` files, param or
-  metrics files, even `dvc.lock`
-
-- **More and better plots!** (2022 Q3)  
-  DVC Experiment comparison is easier with interactive [parallel coordinate
-  plots], which can be generated from command line with `dvc exp show --pcp`. We
-  plan to incorporate that and brand new IDE-exclusive plots! (TBD)
-
-- **Performance improvements** (2022 Q3)  
-  Our extension will be faster and more reliable with better internal usage of
-  DVC and more efficient data management.
-
-- **ML pipelines** (2022 Q4)  
-  The extension examines [`dvc.yaml` files] to identify tracked data and
-  changes, but it does not currently provide a graphic interface to write or
-  modify stages.
-
-- **Remote execution** (2022 Q4)  
-  DVC Experiments can be run in remote environments. We intend to integrate this
-  with VS Code's robust [remote development] features.
-
-- **Data registry** (2022 Q4)  
-  DVC [data registries] can help you centralize and secure data management
-  across all your ML projects. You'll be able to construct and handle them right
-  from the IDE.
-
-- **More tools from Iterative.ai** (2023)  
-  Expect this extension to become a full-fledged suite for the ecosystem of
-  tools from Iterative, such as [CML](https://cml.dev/),
-  [MLEM](https://mlem.ai/) + [GTO](https://github.com/iterative/gto) **model
-  registry** management, and future surprises! (TBD)
-
-[dvc metafiles]: https://dvc.org/doc/user-guide/project-structure
-[parallel coordinate plots]:
-  https://dvc.org/doc/user-guide/experiment-management/comparing-experiments#parallel-coordinates-plot
-[`dvc.yaml` files]:
-  https://dvc.org/doc/user-guide/project-structure/pipelines-files
-[remote development]: https://code.visualstudio.com/docs/remote/remote-overview
-[data registries]: https://dvc.org/doc/use-cases/data-registry
-
 ## Debugging
 
 ### The DVC Extension