VT Code cuts prompt bloat via AST-level chunking

Strong fit for people who want a terminal-native agent that behaves more like an engineering tool than a chat wrapper.

• –The main differentiator is context discipline: explicit budget tracking plus AST-level extraction should materially reduce prompt bloat on refactors.
• –The safety model is more serious than average: command validation, workspace boundaries, and platform sandboxing are practical guardrails.
• –Multi-provider support is a real advantage if you want to swap between local and hosted models without rewriting your workflow.
• –The Atlas Cloud example is useful, but the bigger story is that any OpenAI-compatible host should work.
• –Best audience: developers who live in the terminal and care about predictable token usage and safer autonomous edits.