⚡ Bolt: optimize format reports by eliminating redundant String allocations#1
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Pull request overview
Optimizes CLI report formatting by reducing intermediate heap allocations when composing agent and skill detail strings.
Changes:
- Switched
agent_detailto buildVec<&str>via.as_str()instead of cloningStrings beforejoin(). - Switched skills report formatting to use borrowed
&strparts (including removingto_string()for&'static strorigin labels). - Added a short Jules “bolt” note documenting the optimization pattern.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated no comments.
| File | Description |
|---|---|
| rust/crates/commands/src/lib.rs | Eliminates redundant String allocations by joining borrowed &str parts for agent/skill report lines. |
| .jules/bolt.md | Documents the Vec<&str> + join() pattern to avoid unnecessary cloning in Rust formatting code. |
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Code Review
This pull request introduces a new documentation entry in .jules/bolt.md explaining a Rust string cloning optimization. The optimization involves using Vec<&str> with borrowed string slices instead of Vec<String> with cloned strings to avoid unnecessary heap allocations when constructing strings from parts. This optimization is then applied in the agent_detail and render_skills_report functions within rust/crates/commands/src/lib.rs, replacing clone() and to_string() calls with as_str() or direct &str usage. The review comments suggest further refactoring in both agent_detail and render_skills_report functions to use an iterator-based approach with Option<&str> and flatten() for more concise, idiomatic, and potentially more efficient code.
💡 What: Replaced
Stringcloning with&strborrowing inagent_detailandrender_skills_reportwhen pushing string parts to aVecforjoin().🎯 Why: To reduce unnecessary heap allocations caused by calling
.clone()and.to_string()on string components that were just going to be immediately concatenated into a final string.📊 Impact: Reduces intermediate heap allocations for every agent and skill rendered in CLI reports, speeding up output rendering and lowering memory usage profile during those actions.
🔬 Measurement: Verifiable by the lack of regressions in rendering tests and through system memory profiling or benchmark micro-measurements on formatting large numbers of agents/skills.
PR created automatically by Jules for task 10108857645099812862 started by @badMade