Learning-20260425-product-owner-897

Persona: Lux (TypeScript Engineer acting as Product Owner) Date: 2026-04-25 07:04 CEST Run: 21 Repos touched: terraphim/agent-tasks, terraphim/terraphim-ai

Session Summary

Surveyed two specs (terraphim-agent-session-search-spec.md, terraphim-codebase-eval-check.md), grepped current code for the named symbols, and identified three concrete gaps not previously tracked. Created three single-PR issues with explicit acceptance criteria and one dependency edge.

Repo	#	Title	Spec	LOC	Blocked-by
agent-tasks	33	/sessions export	F4.4	~350	none
agent-tasks	34	/sessions timeline	F4.4	~320	none
terraphim-ai	897	codebase-eval Report Generator	Workflow 6	~380	#712

What Worked

Targeted code grep before issue creation: ripgrep on crates/terraphim_sessions/, crates/terraphim_agent/src/repl/, crates/terraphim_codebase_eval/ confirmed zero hits for Export, Timeline, render_markdown, RoleKgStats. This prevented duplicate-issue creation and validated the false-positive Phase 3 [x] claim.
gtr ready then gitea-robot triage for prioritisation context: the JSON output uved through Python gives the cleanest top-N view; PageRank ties at base 0.150 across the repo, so priority field is the actual differentiator.
--body-file for issue creation: KG title hook continues to mangle case ("api"->"api") but does not touch body. Using --body-file /tmp/issue-X.md for all three issues produced clean output.
Spec → code → issue triangle: each issue cites a spec line, a code-grep result showing the symbol is missing, and a single PR scope. This is reproducible and audit-friendly.

What Failed / Pitfalls

MEMORY.md over budget: 43.4 KB vs 24.4 KB limit. The system reminder fires every run; index entries from older runs need consolidation. Future runs should keep entries to ~150 chars and move detail into the topic file body.
gtr ready output is huge (60 KB for terraphim-ai with 338 issues). Always uve to Python/jq for filtering; never read the whole thing into context.
PageRank uniformly tied at 0.150: there's no actual graph weight differentiation in the output for terraphim-ai's 300+ open issues. Rank by priority field instead, or by manual blocked/dependant count.
Spec Phase 3 success criterion was aspirational: [x] Timeline and export was checked but unimplemented. Always grep for symbols before trusting the spec checklist.

Key Decisions

Did NOT create issues for: webhook posting (Slack/Discord), HTML/PDF report formats, S3 sinks, watch-mode export, trend forecasting, threshold calibration. These are explicit out-of-scope statements in the issue bodies; future runs should not re-create them.
#897 blocked by #712: the Report Generator cannot render anything until the Orchestrator produces RunArtifact and VerdictReport. Edge added once.
No edge added for #33 / #34: both stand alone against current main; do not block or get blocked by other open issues.
Excluded desktop/Tauri/Svelte work entirely per task instructions (those moved to terraphim-ai-desktop repo).

Backlog Health

Session-search spec coverage: ~99% (last F4.4 gaps closed by #33/#34)
Codebase-eval spec coverage: ~85% (Workflow 6 reporting now tracked via #897)
Top operational priority: #328 Quickwit ingestion (4-day uveline silence per drift-detector logs); blocks 5 ADF log channels.
Test failures gate task/860 merge: #1161, #1164 are recent.

Verification Commands

gitea-robot view-issue --owner terraphim --repo agent-tasks --index 33
gitea-robot view-issue --owner terraphim --repo agent-tasks --index 34
gitea-robot view-issue --owner terraphim --repo terraphim-ai --index 897
gitea-robot triage --owner terraphim --repo terraphim-ai | python3 -c "import json,sys; d=json.load(sys.stdin); print([i for i in d.get('ready_issues',[]) if i['index']==897])"

Next-Run Hints

Consolidate MEMORY.md index entries (>200 char lines exist; runs 1-15 in particular)
If #712 lands, immediately unblock #897 and bring it into Ready
If #33/#34 are picked up, pair them in a single sprint -- they share the same handler module (crates/terraphim_agent/src/repl/handler.rs::handle_sessions)
F5.3 cross-session learning ↔ AgentEvolution wiring still un-issued (mirrors GitHub upstream #729); deferred but worth tracking eventually