Original Reddit post

I’ve been wrestling with this issue for 11.5 hours straight and have ruled out every variable I can control. The deterministic bug The markdown file below (CURRENT_ISSUE_PLANS.md) reliably causes Claude Code (Opus 4.6 1M, high or max effort) to enter an unrecoverable extended thinking spiral. Every time I ask it to address the issue described in this file: It generates ~200 tokens Token counter freezes It sits there silently for 30-60 minutes It errors out with “API Error: Claude’s response exceeded the 64000 output token maximum” Zero tool calls, zero edits, zero useful output — the entire 64K budget burns on invisible thinking When I renamed the file so CC couldn’t see it and gave the same fix instructions directly as a prompt, it worked — churned tokens, made edits, completed inference runs. The fix attempts were wrong, but the model actually functioned. This reproduces on other machines. I sent the project to a friend (different machine, same account, same city). Same result. This isn’t environmental — something about this document’s content deterministically breaks the model. The separate chronic issue Independent of the above, I have a persistent problem across all ~20 of my projects where Claude Code silently stalls with zero visible token generation for 5-30 minutes, then suddenly engages and explodes with output as if it was thinking the whole time. This happens on roughly 1 in 3 queries and has been going on for months. I’ve ruled out: - Network: curl to api.anthropic.com returns in 0.1 seconds. Stalls on ethernet (Google Fiber 5Gbps) AND phone hotspot. - Account: Same account works fine on my friend’s machine. - CC binary: Stalls on native installer, npx, Node 22, Node 24. - Windows: Stalls with Defender off, Mullvad uninstalled, IPv6 disabled, clean CC install, no hooks, no MCP servers. - Model: Both Opus and Sonnet stall (at different token counts). As far as I can tell, I’m the only person experiencing this chronic issue at this severity. Anthropic has not responded to any reports about it. The file that breaks the model Below is the full contents of CURRENT_ISSUE_PLANS.md. Paste it into a project root, point CC at a ~1600 line Python file, and ask it to address the issue. It will burn its entire output budget on thinking and produce nothing. (and the only evidence I have that it’s actually doing thinking on said budget is the error 1 hour later on max output tokens… which isn’t even a setting I’ve ever specified or used and that has never given an error across twenty other MUCH LARGER ACROSS THE BOARD projects.

Simple Fences — Current Issue & Remaining Work Status: Mid-implementation of the contiguous fence shape mode (PLANS.md §2). Contiguous mode draws each cluster as a single merged orthogonal polygon with a 9-layer chrome gradient. Most of it works. One visual bug remains at concave outer corners (inner bend of L-shapes, T-shapes, staircases, etc.). This document is for a fresh Claude Code context to pick up and finish. The previous context spent ~384k tokens getting here, so a fresh start is likely more effective than continuing. — ## How we got here — step-by-step progress Contiguous mode was implemented incrementally behind a FENCE_SHAPE_MODE config flag (fences.py:53) so bbox mode stays safe. Each step was tested in isolation before moving on. 1. Step 1 — Added FENCE_SHAPE_MODE config + threaded it through scan_icons_and_compute_rects. 'bbox' is default, any other value raised NotImplementedError. Pure plumbing, no behavior change. ✅ Verified by user. 2. Step 2 — Added 'per_cell' mode (one rounded rect per icon) to validate the sacred-padding formula at per-cell granularity. Visually weird-but-correct intermediate. ✅ Verified. 3. Step 3a — Introduced FenceShape = namedtuple('FenceShape', ['bbox', 'cells']). Migrated _overlay_rects → _overlay_shapes. Paint code unpacks shape.bbox. Pure refactor, no visual change. ✅ Verified. 4. Step 3b — Implemented 'contiguous' mode: each cluster builds a grid-cell map, computes per-cell rects via _padded (respecting sacred padding), computes edge-visibility masks (an edge is “visible” iff its grid neighbor is not in the cluster). Rendered as flat grey outlines of visible edges only. ✅ Verified geometry is “perfect af”. - Had to fix an intermediate bug where cluster_by_proximity worked but in-cluster grid mapping via round((sy - anchor) / spacing) accumulated error across rows and split 3-icon columns into 2+1 fragments. Fixed with a topology-preserving _grid_index_map that walks sorted-unique coordinates and assigns grid indices by successive deltas (fences.py:1351). 5. Step 4 — Replaced the flat grey outline with the 9-layer chrome gradient by drawing each visible edge as 9 parallel 1-pixel FillRect strips, each offset inward by its layer index and colored with CHROME_BORDER_LAYERS[idx]. Draw order is layer-first (outermost last) so outer layers win at perpendicular-strip intersections, reproducing bbox mode’s “pixel color = min distance to visible edge” property. Intentionally kept sharp corners (no rounding) — user explicitly said they prefer sharp over rounded. ✅ Verified gradient looks correct along convex edges and convex outer corners. 6. Step 5 — Attempted to fix the “dead zone” at concave outer corners (inner bend of L-shapes). This is where we’re stuck. See issue description below. — ## The current bug ### User’s description At concave outer corners (inner bend of L-shapes, T-shapes, etc.), there’s a small visual artifact: > “imagine the corner as a square. the diagonal half of the square that is closest to the ‘outside’ of the overall region involved is black. and the inner diagonal half of the square is grey and good” > > “the grey good half is on the polygon interior side. the black triangle is on the boundary side. the triangle is likely something to do with some folding over each other happening at the corner.” So within a small square region at the concave corner: - Polygon-interior-side diagonal half: rendering correctly (correct gradient) - Polygon-boundary-side diagonal half: black (either unpainted or wrong color that reads as black) - Split by a diagonal (direction unclear — user describes it as diagonal, and says “folding over each other”) The user is looking at the L-shape / T-shape inner bends specifically. Simple convex shapes (rectangles, 2x2, 3x3, etc.) render perfectly. ### What the correct rendering should look like At a concave outer corner (e.g. A’s bottom-right in an L-shape where A=(0,0), B=(1,0), C=(0,1), empty at (1,1)): - The polygon’s visible outer boundary at this corner is the meeting point of B’s bottom edge (visible, extending right from the corner) and C’s right edge (visible, extending down from the corner). - The chrome gradient should form a sharp 90° concave outline wrapping the corner from the polygon-interior side. - Every pixel inside the polygon within 8 pixels (Chebyshev) of the visible boundary should be colored CHROME_BORDER_LAYERS[min_distance_to_visible_edge]. - Pixels outside the polygon (in the empty “notch”) should remain transparent (color key). Near the corner, the dead-zone pixels fall into three regions: - Inside cell A (bottom-right interior of A), where A has both its bottom and right edges hidden (both face cluster neighbors). A’s per-cell edge strips don’t reach here. Called the “8x8 dead zone” below. - Inside cell B (bottom-left area of B near y=B_B, x near the corner). Covered by B’s bottom strips in the normal gradient pass. - Inside cell C (top-right area of C near x=C_R, y near the corner). Covered by C’s right strips. - Empty notch (diagonally past the corner). Not painted — correct. ### Where the artifact likely lives Because user says the “inner” half (pointing into polygon interior = into A’s dead zone) is correct, and the “boundary” half (toward the visible edges of B and C) is black, the suspicion is: - Something at the boundary between A’s dead-zone fill and B’s/C’s strip gradient is going wrong. - The user used the phrase “folding over each other” — suggests my code is drawing something that overlaps with or replaces something else incorrectly, producing a wedge of wrong/missing pixels. — ## What’s been tried (and why they didn’t work) ### Attempt 1 — Nested descending squares (cR-k..cR-1, cB-k..cB-1) Fill A’s 8x8 dead zone with 8 nested rectangles. At k=8, fill the whole 8x8 with layer 8. At k=7, fill the inner 7x7 with layer 7, overwriting. Continue down to k=1. The intended result: final color at each pixel = CHROME_BORDER_LAYERS[max(dx, dy)] where (dx, dy) is the Chebyshev distance from the corner. Verified correct analytically for exact-tiling case. User still saw the diagonal black triangle. ### Attempt 2 — Expanded rect + layer 0 + two passes Extended the nested squares to include the corner pixel and corner row/column (RECT(cR-k, cB-k, cR+1, cB+1), iterating k from 8 down to 0). Split the paint code into two passes: all concave fills first, then all edge strips. Draw order inside each pass changed to layer-first across all cells (for k=8, draw all cells’ k=8 rects; then for k=7, etc.). Idea: strips always overwrite fills at overlap pixels, and within each pass outer layers always overwrite inner ones, making the final color deterministic and order-independent. User still saw the diagonal black triangle. ### Attempt 3 — L-shapes per layer (current state of the code) Replaced nested squares with disjoint L-shapes. At layer k, draw exactly the pixels at Chebyshev distance k from the corner as two perpendicular 1-pixel strips (one horizontal arm, one vertical arm) meeting at the k-th inset point. Every pixel in the 8x8 dead zone is painted by exactly one L-shape (the one whose k equals its Chebyshev distance), so there’s no overlap between different layers’ paint and no order dependence. User still saw the diagonal black triangle, identical to before. That the three different approaches all produced the same visual bug strongly suggests the issue is NOT in the concave-fill code itself, but somewhere else. — ## My current best hypothesis The concave fill is probably fine. The bug is likely in how the fill interacts with adjacent cells’ strips at the boundary between A’s interior and B/C’s interiors, in the overlap case. ### Key suspicion: cell rects may overlap in a way that misaligns the concave-fill anchor _padded (fences.py:1329) applies the sacred hand-tuned offsets (+27, +34, +32, +67) to each icon’s screen coordinate. The resulting cell rect dimensions depend on pad_x = spacing_x // 2 and pad_y = spacing_y // 2 where spacing comes from GetSystemMetrics(SM_CXICONSPACING / SM_CYICONSPACING). These offsets were tuned for a specific desktop; the user’s actual icon layout may produce cell rects that: - Overlap vertically (cell A’s bottom extends past the top of the cell below it) - Have a horizontal gap (cells don’t reach each other left-to-right) - Or some combination If the user’s cells overlap vertically by N pixels, for example, then A_B > C_T. My concave-fill code uses cR, cB (= A_R, A_B) as the anchor point for the gradient — assuming that’s the concave corner pixel. But the visual concave corner is where B’s bottom edge meets C’s right edge, which is (B_L, B_B) = (C_R, C_T), not (A_R, A_B). In the overlap case these differ. When my L-shape / nested-square fill is anchored at the wrong point, the Chebyshev-distance gradient ends up centered on A’s bottom-right cell corner rather than on the visual polygon corner. The result is a gradient that’s “rotated” or “shifted” relative to where it should be. However! CHROME_BORDER_LAYERS is symmetric around layer 4: layer 0 = layer 8 = (55, 50, 48) layer 1 = layer 7 = (95, 90, 88) layer 2 = layer 6 = (145, 140, 135) layer 3 = layer 5 = (195, 190, 185) layer 4 = (235, 232, 228) So for a pixel where my_layer + correct_layer == 8, the colors are visually identical. For the “pure overlap” case (c = d = N), the sum always works out to 8 for pixels in the overlap rectangle — so the bug is invisible even though the layer indices are wrong. But if c ≠ d (asymmetric overlap, e.g. horizontal overlap only or vertical only), or if there’s one-axis-overlap and one-axis-gap, then my_layer + correct_layer is no longer 8, and the colors diverge. Specifically, some pixels end up with BRIGHT layer 4-ish colors where they should have DARK layer 0/8 colors, and vice versa. This could produce a triangular dark region when the error magnitudes line up diagonally. It would also explain why “folding over each other” is an intuitive description of what’s happening — the gradient centered on the wrong point visually crosses/folds against the gradient from B’s and C’s strips. ### How to verify this hypothesis 1. Print out or compute _padded’s output for two horizontally adjacent icons and two vertically adjacent icons in an L-shape cluster. Check if A_R == B_L - 1 and A_B == C_T - 1 (exact tiling) or if there’s a mismatch. 2. If there’s a mismatch, that’s the asymmetric overlap/gap case. The bug is centered there. 3. A quick experiment: temporarily modify _padded to produce exactly tiling cell rects (e.g. each cell is exactly spacing_x × spacing_y centered on the icon’s screen position, ignoring the sacred offsets). If the artifact disappears, the hypothesis is confirmed. (Do not commit this — the sacred padding is sacred, see memory/feedback_alignment.md. It’s just a diagnostic.) ### If the hypothesis is confirmed, the fix is The concave fill’s anchor should be the visual concave corner, not the current cell’s own pixel BR corner. The visual concave corner is determined by the neighboring cells’ visible-edge endpoints: - For cell A’s BR concave, the visual corner is (neighbor_right_cell.L, neighbor_bottom_cell.T) — i.e., B’s left edge x and C’s top edge y. In exact tiling this equals (A_R, A_B). In overlap it differs. - The fill should compute this anchor point from the grid-neighbor cells’ rects (which we have in cell_by_grid at scan time) and store it alongside the concave_mask in the cell tuple. - Then the L-shape / nested fill is anchored at the visual corner, not the current cell’s corner. The gradient colors come out correctly in both exact and overlap cases. ### Alternative: compute the polygon outline properly The “true” fix for concave corners of an orthogonal polygon is to actually compute the polygon boundary as a list of vertices, classify each vertex, and render the chrome gradient with proper polygon inset. This is what _build_layer_outline does for the rectangular bbox case but would need to be extended to handle arbitrary orthogonal polygons with concave vertices. This is significantly more code (probably 200–400 lines) and was explicitly avoided in the current plan (see docs/design/00_OVERVIEW.md and PLANS.md §2). Only consider this if the anchor-point fix doesn’t work. ### Another hypothesis to rule out — off-by-one in edge-mask detection Less likely but possible: the concave detection in scan_icons_and_compute_rects (fences.py:~1450) uses top_hidden and left_hidden and (gx-1, gy-1) not in cell_by_grid and variants. A subtle off-by-one (e.g. checking the wrong diagonal for a given corner) could cause the wrong cells to paint fills at the wrong locations. Verify by tracing through a specific L-shape cluster and confirming the concave_mask values are what you’d expect. — ## File state at time of writing ### Relevant source ranges in fences.py | Region | Lines | What it does | |—|—|—| | FENCE_SHAPE_MODE config | 49–54 | 'bbox' / 'per_cell' / 'contiguous' mode flag | | FenceShape namedtuple + comment | ~759–776 | (bbox, cells) where cells carries per-cell geometry + edges + concave_mask | | _paint_overlay contiguous branch | ~1105–1170 | 2-pass render: concave fills (L-shapes) → strips | | _paint_fill_overlay contiguous branch | ~1220–1235 | Flat per-cell fills | | scan_icons_and_compute_rects | ~1304–1500 | Per-cluster: _padded, _grid_index_map, edge-visibility, concave_mask, build FenceShape | | _padded (nested) | ~1329–1345 | Sacred padding formula — do not touch | | _grid_index_map (nested) | ~1351–1370 | Topology-preserving grid index assignment (fixes column-splitting bug) | ### Cell tuple structure (contiguous mode) (cL, cT, cR, cB, (top_vis, right_vis, bottom_vis, left_vis), (tl_concave, tr_concave, bl_concave, br_concave)) ### Render pass structure (current, after attempt 3) python # Pass 1: concave L-shape fills for k in range(len(CHROME_BORDER_LAYERS)): # 0..8 for cell in shape.cells: for each marked concave corner: draw horizontal arm + vertical arm at Chebyshev distance k # Pass 2: visible edge gradient strips for layer_idx in range(8, -1, -1): # 8..0 (outer wins) for cell in shape.cells: for each visible edge: draw 1-px strip offset inward by layer_idx ### Test shapes the user has validated as working - 1-icon clusters → single rectangles ✅ - 2×1, 2×2, 3×3 rectangular clusters ✅ - Vertical columns (after the _grid_index_map fix) ✅ - Simple 3-icon L-shapes ✅ geometry, ⚠️ concave corner has the bug - Taller L-shapes (2×1 column + 2×1 row foot) ✅ geometry after the _grid_index_map fix, ⚠️ concave corner has the bug ### Current flag state FENCE_SHAPE_MODE = 'contiguous' at fences.py:53. The user is actively testing in contiguous mode. When the concave fix is verified working, flip it back to 'bbox' before proceeding to any further work so bbox mode stays the default. — ## Remaining planned work after the concave fix lands The user explicitly cancelled the rounded-corners step — they like sharp corners and don’t want rounding. Remaining: ### Step 6 — Gleam animation for contiguous mode Currently contiguous mode has no gleam (the traveling shimmer). Bbox mode’s gleam walks a perimeter via _build_layer_outline (fences.py:~827) and uses bisect on cumulative arc length. For contiguous mode, we need an analogous perimeter walker that traces the polygon’s visible-edge outline. Two possible approaches: A) Per-cell gleam (simpler, potentially ugly) - For each cell, for each visible edge, walk along it emitting gleam pixels. - Each cell animates independently. - Downside: gleam travels along each cell’s visible edges in isolation, so at convex outer corners the gleam jumps between cells instead of wrapping smoothly. On a cluster of N cells you’d see N gleams running. B) Polygon-perimeter gleam (nicer, more work) - Compute a single linear perimeter representation of the polygon (list of (x, y, cumulative_distance) points in CW order). - Use the same bisect + Gaussian boost table approach as bbox mode. - Challenge: need a CW perimeter walker for orthogonal polygons. Start at topmost-leftmost cell’s TL corner, walk CW following visible edges, handling convex and concave turns. - Integrates with the existing 9-layer system cleanly — each layer’s outline is derived from the base polygon by inset (same trick bbox mode uses with _get_layer_outline). The user will likely be happier with (B) but (A) is a reasonable interim. Recommend starting with (A) to get something animating, then upgrading to (B) if (A) looks too fragmented. Gleam invalidation: the main loop currently dirties each FenceShape’s bbox on gleam ticks (fences.py:~1445). That stays as-is — the bbox is still the dirty region, the gleam just paints within it. ### Step 7 — Flip default and update docs Once contiguous mode feels complete: - Consider whether to flip FENCE_SHAPE_MODE default to 'contiguous'. The user will decide. - Update docs/design/flows.md and docs/design/architecture.md to describe the contiguous rendering path, the 2-pass layer-first strip system, and the concave-fill approach. - Update docs/development/PLANS.md to mark §2 as done. - The other PLANS.md items (system tray, settings UI, auto-restart) are separate future work. — ## Coding style / project conventions (read before touching code) - Sacred padding offsets (+27, +34, +32, +67) in _padded — never recompute from grid math. Memory entry: memory/feedback_alignment.md. - Don’t analyze screenshots. Ask the user for verbal pixel estimates. Memory entry: memory/feedback_image_processing.md. - Don’t touch bbox mode. Contiguous mode should be a pure addition behind the flag. Bbox mode is the tested, safe default. - Memory directory is at C:\Users\wig\.claude\projects\C--Users-wig-Desktop-dev-TOOLS-AND-NOTES-simple-fences\memory\. Read MEMORY.md first. - Grid topology (rows/cols) must come from _grid_index_map (sorted-delta walk), NOT from round((s - anchor) / spacing) — the latter accumulates error and splits adjacent icons into separate grid rows. The in-file comment at _grid_index_map explains why. - Pyright diagnostics in this file are almost all pre-existing false positives on ctypes calls. Don’t try to fix them unless you introduced a new one. - Run python -c "import ast; ast.parse(open('fences.py').read()); print('OK')" after edits to sanity-check syntax. - Run python -c "import fences; print('OK')" to confirm module-level code (namedtuple call, ctypes prototypes) still works. - The fences tool runs under pythonw with no console. Use stop_fences.bat and start_fences.bat to restart. — ## Summary for the next Claude 1. Read fences.py:1105–1170 to see the current 2-pass contiguous render code and understand the L-shape fill approach. 2. Read fences.py:1420–1500 to see where cell_by_grid, edges, and concave_mask are built in the scan function. 3. Investigate whether cells overlap or gap in the user’s setup by printing _padded outputs or comparing adjacent icons’ rects. If cells overlap asymmetrically, the concave-fill anchor-point hypothesis is the likely fix. 4. If not an anchor problem, look at _paint_overlay’s strip rendering near the concave corner (lines ~1155–1170 in pass 2) — maybe the strips are drawing past the visual corner into pixels the concave fill also touches, and the two overwrite each other incorrectly. 5. When the fix works, flip FENCE_SHAPE_MODE back to 'bbox' (line 53) and move on to step 6 (gleam). 6. Don’t commit anything until the user confirms the visual artifact is gone. Good luck.

submitted by /u/Virtual_Plant_5629

Originally posted by u/Virtual_Plant_5629 on r/ClaudeCode