Three implementation plans with iterative cross-model refinement:
lore-service (5 iterations):
HTTP service layer exposing lore's SQLite data via REST/SSE for
integration with external tools (dashboards, IDE extensions, chat
agents). Covers authentication, rate limiting, caching strategy, and
webhook-driven sync triggers.
work-item-status-graphql (7 iterations + TDD appendix):
Detailed implementation plan for the GraphQL-based work item status
enrichment feature (now implemented). Includes the TDD appendix with
test-first development specifications covering GraphQL client, adaptive
pagination, ingestion orchestration, CLI display, and robot mode output.
time-decay-expert-scoring (iteration 5 feedback):
Updates to the existing time-decay scoring plan incorporating feedback
on decay curve parameterization, recency weighting for discussion
contributions, and staleness detection thresholds.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Comprehensive product requirements document for the gitlore TUI built on
FrankenTUI's Elm architecture (Msg -> update -> view). The PRD (7800+
lines) covers:
Architecture: Separate binary crate (lore-tui) with runtime delegation,
Elm-style Model/Cmd/Msg, DbManager with closure-based read pool + WAL,
TaskSupervisor for dedup/cancellation, EntityKey system for type-safe
entity references, CommandRegistry as single source of truth for
keybindings/palette/help.
Screens: Dashboard, IssueList, IssueDetail, MrList, MrDetail, Search
(lexical/hybrid/semantic with facets), Timeline (5-stage pipeline),
Who (expert/workload/reviews/active/overlap), Sync (live progress),
CommandPalette, Help overlay.
Infrastructure: InputMode state machine, Clock trait for deterministic
rendering, crash_context ring buffer with redaction, instance lock,
progressive hydration, session restore, grapheme-safe text truncation
(unicode-width + unicode-segmentation), terminal sanitization (ANSI/bidi/
C1 controls), entity LRU cache.
Testing: Snapshot tests via insta, event-fuzz, CLI/TUI parity, tiered
benchmark fixtures (S/M/L), query-plan CI enforcement, Phase 2.5
vertical slice gate.
9 plan-refine iterations (ChatGPT review -> Claude integration):
Iter 1-3: Connection pool, debounce, EntityKey, TaskSupervisor,
keyset pagination, capability-adaptive rendering
Iter 4-6: Separate binary crate, ANSI hardening, session restore,
read tx isolation, progressive hydration, unicode-width
Iter 7-9: Per-screen LoadState, CommandRegistry, InputMode, Clock,
log redaction, entity cache, search cancel SLO, crash diagnostics
Also includes the original tui-prd.md (ratatui-based, superseded by v2).
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Ideas catalog (docs/ideas/): 25 feature concept documents covering future
lore capabilities including bottleneck detection, churn analysis, expert
scoring, collaboration patterns, milestone risk, knowledge silos, and more.
Each doc includes motivation, implementation sketch, data requirements, and
dependencies on existing infrastructure. README.md provides an overview and
SYSTEM-PROPOSAL.md presents the unified analytics vision.
Plans (plans/): Time-decay expert scoring design with four rounds of review
feedback exploring decay functions, scoring algebra, and integration points
with the existing who-expert pipeline.
Issue doc (docs/issues/001): Documents the timeline pipeline bug where
EntityRef was missing project context, causing ambiguous cross-project
references during the EXPAND stage.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
