Releases: SuperagenticAI/rlm-code
Releases · SuperagenticAI/rlm-code
💻 v0.1.6 — CodeMode Featured Release
CodeMode Featured Release
This release introduces CodeMode as a first-class, opt-in harness strategy in RLM Code.
Highlights
- Added
strategy=codemodeto harness runs, while keepingstrategy=tool_callas the default baseline. - Implemented CodeMode execution flow:
- MCP discovery with
search_tools - typed tool-surface prompt generation
- single JS/TS program planning
- guarded execution through
call_tool_chain
- MCP discovery with
- Added hard pre-execution guardrails for generated CodeMode programs.
- Added runtime caps for timeout, output size, code size, and tool-call count.
- Added benchmark support to compare
tool_callvscodemodeon the same preset/cases. - Added CodeMode-specific telemetry in benchmark case payloads:
harness_strategycodemode_chain_callscodemode_search_callscodemode_discovery_callscodemode_guardrail_blocked
New CLI usage
/harness run "implement feature and add tests" steps=8 mcp=on strategy=codemode mcp_server=codemode
/rlm bench preset=dynamic_web_filtering mode=harness strategy=codemode mcp=on mcp_server=codemode
## Safety and rollout posture
- CodeMode remains opt-in.
- Default harness path stays strategy=tool_call.
- Strict MCP allowlist is preserved in harness benchmark path.
- Recommended rollout is side-by-side benchmarking with promotion gates.
## Documentation added
- Top-level CodeMode docs section.
- CodeMode quickstart.
- CodeMode architecture and provider/bridge separation model.
- CodeMode guardrails and release runbook.
- CodeMode evaluation and promotion-gate guidance.
- CodeMode sandbox responsibility and deployment matrix.
## Notes
- No change to default harness behavior unless strategy=codemode is explicitly selected.
- For production use, prefer explicit mcp_server=<name> and hardened bridge deployment.