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Performance and Scaling

bijux-cli performance work focuses on predictable command latency, bounded-memory parsing/rendering, and reliable behavior as plugin/state inventories grow.

Visual Summary

flowchart LR
    input["argv and state size"] --> parse["parser and route normalization cost"]
    parse --> handler["handler and plugin execution cost"]
    handler --> render["payload rendering cost"]
    render --> latency["observed command latency"]

Performance Hotspots

  • parser normalization over large argument vectors
  • plugin registry discovery and health checks
  • history and memory file scanning for large local state files
  • rendering very large structured payloads
  • delegated command invocation overhead

Code Anchors

  • crates/bijux-cli/src/routing/parser.rs
  • crates/bijux-cli/src/features/plugins/discovery.rs
  • crates/bijux-cli/src/features/history/operations.rs
  • crates/bijux-cli/src/shared/output.rs
  • crates/bijux-cli/src/interface/repl/

Scaling Rules

  • keep telemetry fields bounded and truncation-aware
  • separate slow integration contracts from default fast test gates
  • avoid unbounded data joins in diagnostics payloads
  • prefer streaming or targeted queries for large state files

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