# Framework Backlog Status: **v1 draft 2026-06-25**. These items are captured for the self-improvement loop (or manual pickup) once the self-improvement loop is running and the design docs are in place. This backlog mirrors the pattern of `design/loops/BACKLOG.md` but for framework-level agent features. The self-improvement loop's `work_source.area` can be set to `"framework"` to pull from here. --- ## v1 (Priority) | ID | Item | Description | Dependencies | |---|---|---|---| | FW-1 | **agent-tab-real-roles** | Redesign the dashboard Agent tab: replace 4 fake `AGENT_TYPE_META` types with two sections — (1) Phase Roles (6 roles from `.agent.md`: researcher, implementer, code-reviewer, bug-hunter, referee, orchestrator) showing active/inactive based on current task phases; (2) Scheduled Jobs (cleanup, loop-tick, rule-scan, rule-review) using real `job.kind` from `/api/scheduled`. New `/api/phase-roles` endpoint. | None | | FW-2 | **rule-proposer-agent** | Daily scheduled standalone agent that scans completed tasks since last run, reads their `BUG_REPORT.md` / `ADVERSARIAL_BUG_REPORT.md` / `VERDICT.md`, proposes new rules with concrete examples to `RULE_PROPOSALS.md`. Uses direct harness invocation (reuses `loop-runner._invoke_harness`). State in `.state.rule-scan`. Requires different LLM than the tasks it reviews (conflict-of-interest) — enforcement deferred until `model-divergence-enforcement` ships. | `model-divergence-enforcement` (for LLM binding) | | FW-3 | **rule-reviewer-agent** | Monthly scheduled standalone agent that consolidates `.rules.md` — finds contradictions, stale rules, missing examples — writes `RULE_REVIEW.md`. Uses direct harness invocation. State in `.state.rule-review`. Must use different LLM than Rule Proposer (conflict-of-interest) — enforcement deferred until `model-divergence-enforcement` ships. | `model-divergence-enforcement` (for LLM binding), `rule-proposer-agent` | --- ## Deferred / Tier 2 (Post-v1) | ID | Item | Description | Notes | |---|---|---|---| | FW-4 | **model-divergence-enforcement** | Manifest (`models.json`), mode detection (single vs multi-LLM), conflict matrix, `--transition --model`, `.state.models`, `loop.json` per-role model + `{model}` substitution, audit category, dashboard badges. This is a **manual task**, not a backlog item — tracked separately. | See separate task `model-divergence-enforcement` | | FW-5 | **dashboard-agent-tab-v2** | Enhance Agent tab with: role details (click → task list), schedule management (enable/disable from UI), last-run timestamps, per-agent logs. | Requires FW-1 | | FW-6 | **rule-enforcement-gate** | Pre-edit hook (`--can-edit --rule `) that enforces rules from `.rules.md` before edits. Separate from rule agents (which only propose/review). | Requires FW-2, FW-3 | --- ## Notes - **Dependency on `model-divergence-enforcement`**: FW-2 and FW-3 are designed with model-binding in their configs (per-role `model` in their schedule config), but hard-block enforcement is deferred until the model-divergence feature ships. The design docs note the dependency; implementation tasks in the backlog carry a "depends on" annotation. - **Self-improvement loop**: Once the self-improvement loop is running with `work_source.area = "framework"`, it will pick up items from this backlog automatically. The loop template `templates/loops/self-improvement/loop.json` already supports `work_source.area`. - **FW-4 is NOT in this backlog** — it's a manual parent task created via `status.py --create-task model-divergence-enforcement` and decomposed into subtasks.