# Proposed New Tracks — 2026-06-08 **Source:** End-of-session assessment in `docs/reports/session_synthesis_20260608.md` §8 **Date:** 2026-06-08 **Status:** Recommendation; user decides > **The verdict.** Of all the work surfaced in this session, **2 new tracks** are worth devising. Both are *sub-tracks of work already represented*, not net-new initiatives. This document gives the spec-ready detail for each, in case you want to commit them as real tracks in a future session. --- ## 1. `manual_ux_validation_20260608_PLACEHOLDER` **Why this exists:** The ASCII-sketch UX workflow (`docs/reports/ascii_sketch_ux_workflow_20260608.md`) is a *tool without a track*. The workflow needs: - A sub-spec inside the existing `manual_ux_validation_20260302` track (which is currently spec ✓, plan ✓, no metadata, in the backlog) - At least one panel redesigned using the workflow - 5 open questions resolved (vocabulary preference, comparison policy, storage location, tooling, frequency) **Why it's not net-new:** `manual_ux_validation_20260302` exists. This is a *new approach* to that track's work, not a new initiative. **Effort:** Small. ~1-3 phases as an addendum to `manual_ux_validation_20260302`. The hard work is *doing* the UX review, not writing the spec. **Domain:** Application. The UX workflow produces design contracts that drive the Application's GUI. **Sub-spec structure (proposed):** ```toml # Appendix to manual_ux_validation_20260302 # Added 2026-06-08 [approach] # Replace the existing "review UX" approach with the ASCII-sketch workflow # documented in docs/reports/ascii_sketch_ux_workflow_20260608.md method = "ASCII-sketch + MiniMax understand_image verification" vocabulary = "[I], ===>, o==>, [B], [M], [S], [Q], [N], --" # 6 primitives + 7 modifiers first_target = "Discussion Hub per-entry panel" # gui_2.py:3770 source_of_truth = "docs/guide_discussions.md §Per-Entry Operations (A1-A7 matrix)" [open_questions] # These need the user's decision before the workflow becomes a track vocabulary_preference = "TBD" # §2 vs box-drawing vs Markdown tables comparison_policy = "TBD" # always vs proportional vs only-on-mismatch storage_location = "TBD" # spec appendix vs conductor/designs/ vs docs/designs/ tooling = "TBD" # manual vs scaffold-render vs ASCII-vs-screenshot diff frequency = "TBD" # every change vs only new panels vs only-on-request [inputs_to_resolve] # All 5 must be answered before Phase 1 of this addendum can start # Once answered, the addendum becomes executable ``` **First sketch (proposed in the ASCII-sketch report, ready for the user's critique):** ``` +------------------------------------------------------------------+ | [+/-] Entry #3 [Role: AI v] [Edit] @2026-06-08T12:34 | <- header | in:120 out:340 | in:120 out:340 | +------------------------------------------------------------------+ | | | [thinking trace: ] | <- thinking | "I think the right approach is to split the parser | body | into two phases..." | | | | ---collapsed: rest of 8,200 chars--- | +------------------------------------------------------------------+ | [Ins] [Del] [Branch] I noticed that foo.py:42 uses an... | <- footer +------------------------------------------------------------------+ ``` The user's next move: critique this sketch. The critique becomes the second iteration. We converge in 1-3 rounds. **Why the Discussion Hub per-entry panel:** 23 distinct operations (the A1-A7 matrix), user has strong opinions per the nagent_review corrections, ImGui-regular layout maps well to ASCII, the existing `guide_discussions.md` is the source-of-truth spec. **Verification protocol:** when the design converges, render the actual GUI (in dev mode with the changes applied) and use `MiniMax understand_image` to compare the screenshot to the ASCII sketch. Flag any deltas. This is the only verification — ASCII + verify-screenshot is the workflow. --- ## 2. `chunkification_optimization_20260608_PLACEHOLDER` **Why this exists:** The user's chunk-ideation archive (May 2026, 5 Discord messages + images) + Reece's Xar + Muratori's ECS archetype tables collectively describe a *specific* optimization pattern: replace `realloc`-style growable buffers with chunk-based data structures. This is *not* a future-track candidate in the existing 10 (`nagent_review/decisions.md`); it's a new concrete track. **Why it's not net-new:** the user's chunk-ideation is the source; Reece's Xar is the reference implementation; Manual Slop's `comms.log` is the target. The *idea* is the user's own. The *implementation* is the new part. **Effort:** Medium. ~2-3 phases: 1. Audit current growable buffers and pick the highest-value target 2. Implement chunkification for that one 3. Document the pattern in a code_styleguides entry so future code follows it **Domain:** Both. The Application's `comms.log` is the primary target; the Meta-Tooling's `mma_exec.py` logs are secondary. **Sub-spec structure (proposed):** ```toml # Track: Chunkification Optimization # Owner: Tier 2 Tech Lead # Priority: Medium (data-grounded; the user's own chunk-ideation is the source) [meta] source = "User's chunk-ideation archive (docs/ideation/ed_chunk_data_structures_20260523.md)" reference = "Andrew Reece's Xar (docs/transcripts/i-h95QIGchY_assuming_as_much_as_possible_andrewreece.txt §56:42)" target = "Manual Slop's append-heavy, time-ordered data structures" [approach] # Identify the highest-value growable buffer in src/ and replace it # with a chunk-based structure. The replacement must: # - Use Reece's Xar pattern (8-byte header, power-of-2 chunks, bitwise divmod) # - Use the user's chunking pattern (leverage ECS archetype tables where applicable) # - Preserve the user's principle: "the user must always decide a fixed size heuristic" # - Be backward-compatible at the API level (callers don't change) [phase_1_audit] # Survey src/ for append-heavy, read-heavy, time-ordered-or-uniform-shape data: # - comms.log (app_controller.py:716; JSON-L ring buffer, time-ordered) # - summary_cache.json (file_cache.py; hash-keyed, LRU eviction) # - log_registry (log_registry.py; append + prune) # - per-session screenshot lists (screenshot panels in gui_2.py) # - per-discussion entry lists (already in the 23-op matrix) # - per-ticket state in MMA (multi_agent_conductor.py) # Pick the highest-value target. Tie-breaker: hottest path in render_main_interface. files_to_audit = [ "src/app_controller.py", "src/file_cache.py", "src/log_registry.py", "src/gui_2.py", "src/multi_agent_conductor.py", "src/aggregate.py", ] [phase_2_implement] # For the chosen target, implement the chunkification: # - Add src/chunked_array.py (or use existing Xar-like libraries; check deps) # - Replace the target's backing storage with the new structure # - Add tests: grow patterns, random access, edge cases (empty, full, etc.) # - Profile before/after with the existing src/performance_monitor.py # - Verify the user's "wasted memory" objection is bounded (last-chunk waste only) [phase_3_document] # Add a code_styleguides entry: conductor/code_styleguides/chunked_data_structures.md # - The 6 objections + rebuttals from the user's archive # - The Xar 8-byte header pattern (Reece) # - The "you must always decide a fixed size heuristic" rule # - The chunkification-candidate fingerprint (uniform data, hot path, large N) # Wire the styleguide into the existing static-CI gates ``` **First target (recommended):** the `comms.log` ring buffer in `app_controller.py:716` (`_comms_log: List[Dict[str, Any]]`). Reasons: - Events are append-heavy, read-heavy for the recent tail - Timestamps are *already sorted* (per Reece's Q&A — his use case is the same shape) - Long sessions hit reallocation spikes (the same spikes Muratori describes in the Big OOPs talk as "the CPU is just tanking") - The change is *contained* — `_comms_log` is referenced from a few specific sites; no deep call-graph refactor - The performance impact is *measurable* via `src/performance_monitor.py` (the existing infrastructure) **Why the comms.log is better than the user's "TArray in UE" framing:** Manual Slop's `comms.log` is *smaller* and *more focused* than the user's UE example. It's a single function-local concern, not a framework-level data structure. The chunkification is a small, contained change with measurable before/after performance. **Why not the `summary_cache` (file_cache.py)?** It's already hash-keyed and LRU-evicted; the chunkification benefit is smaller. It's a *good second target* but not the *first*. **Why not the per-discussion entry list (`app.disc_entries`)?** It's already covered by the existing 23-operation matrix and the nagent_review takeaways. The user has *consciously designed* the abstraction layer. Don't disturb it. **Verification:** use `src/performance_monitor.py` to measure `comms.append_time` and `comms.random_access_time` before and after. The user's prediction is that append time becomes O(1) amortized (no reallocation spikes) and random access stays O(1) (bitwise divmod on power-of-2 chunks). **The user's principle to preserve:** *"the user must always decide a fixed size heuristic."* Don't make the chunk size magic-number or hard-coded. Make it a constructor argument with a sensible default. The user can override at instantiation time. --- ## 3. The non-recommendations (so you know what I'm *not* suggesting) - **"nagent_review part 2"** — complete; nothing new to add - **"computational_shapes_ssdl" as a track** — belongs as a styleguide, not a track - **"transcript_pipeline"** — over-engineering; the 5 transcripts are committed artifacts - **"ECS migration of tickets"** — implicit in the upcoming 4 tracks - **"data-oriented rewrite of ai_client"** — coordinated across the 4 tracks - **"Manual Slop port to Odin/Jai"** — out of scope, near-term - **"public_api_migration_20260606"** — already planned as a follow-up in `data_oriented_error_handling_20260606` - **"Xar-specific data structure"** — the Xar is the *reference implementation*, not a Manual Slop feature; if we use the pattern, we don't import the Xar --- ## 4. What I'd recommend **Promote track #1 (`manual_ux_validation_20260608_PLACEHOLDER`) and track #2 (`chunkification_optimization_20260608_PLACEHOLDER`) to real tracks in the next session.** Both are small enough to write the spec/plan in one sitting, and both have concrete first targets. If you only have appetite for one: **#2 is more directly impactful** (the `comms.log` is on the hot path of every AI message lifecycle; the chunkification is a measurable performance win). #1 is more *meta* (it changes how you do future work, not the work itself). **Or: wait until the 4 major tracks ship and run `code_path_audit_20260607` first.** The audit's `chunkification-candidates` heuristic (added to the spec in this session) will *automatically* surface the `comms.log` as a candidate. At that point, track #2 becomes a *follow-on* of the audit, not a separate initiative. That's the cleaner sequence. **My recommendation if I had to pick one:** do #1 (the ASCII-sketch workflow) now, because it shapes *how* you do the next 5 tracks. Then when the 4 major tracks ship and the audit runs, the `chunkification-candidates` heuristic + your chunk-ideation + Reece's Xar come together naturally into track #2. --- *End of proposed-track document. Pick this up when the user is ready to commit these to real tracks.*