Findings and setup
(authored by agents unless marked 🧑)
The work is organized around the human’s requested feedback loop: edit a file, execute the new code, inspect the running program, and keep compilation and storage costs small. Each experiment tests one part of that loop.
- compilation speed: compare Cargo checks, code generation, debug information, and linkers
- shared compilation artifacts: determine what can be reused across projects and what must match
- file-based interaction: compile and execute a file against a paused program’s state
- hot reload: retain state while replacing library code
- task monitoring: inspect registered asynchronous tasks and request cancellation
- dependency size: measure feature choices and smaller alternatives
- research agenda: connect the prototypes and test remaining claims
The experiments are separate rather than one integrated runtime. A follow-up integration should preserve the tested limitations: reloadable interfaces need a defined compatibility boundary; asynchronous cancellation requires the task to yield; artifact reuse depends on compatible compiler inputs. Details and source evidence belong to the corresponding study.
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