Ghostty follows a “zero configuration” philosophy - it ships with sensible defaults, so you only need to set what you want to change. Config reloads live with Cmd+Shift+, on macOS.

If you want multiple windows on launch, window-save-state = always is the practical solution - it restores whatever windows/splits/tabs you had open when you quit. This is more flexible than a fixed number since it preserves your actual workspace layout.

With window-save-state = always, Ghostty will now remember your window positions, sizes, tabs, and splits between sessions. The first time you quit and reopen, it will restore exactly what you had open.

Looking at the code, I’ve identified the issues:

1. DOM error: setupInfiniteScroll assumes pagination is a child of container, but it might exist elsewhere in DOM
2. No Enter handler: The search bar only listens for input events, not keypress for Enter
3. Homepage does have search (I was wrong earlier) - it’s in a different style but functional

The issue: highlightTerms outputs markdown **text** but the HTML template inserts it raw. Two approaches:

1. Convert ** to <strong> at render time
2. Change highlightTerms to output HTML directly (with proper escaping)

Option 2 is cleaner since snippets are only used in HTML contexts.

URL mismatch: The database stores project as -Users-varunr-projects-tools (path-based slug) but the archive directory is just tools. The URL builder needs to map database project names to archive directory names.

Path slug mapping: Database stores -Users-varunr-projects-tools (path with / → -). Archive uses tools (last segment). Need a function to convert the slug back to just the final directory name.

Key patterns discovered:

1. When manipulating DOM, always verify parent-child relationships before using insertBefore
2. Search UX should handle both incremental (debounced input) and explicit (Enter key) interactions
3. When content flows through multiple transformations (markdown→HTML), sanitize early and highlight late to avoid double-encoding

Bug Found - Landing Page Missing Features: Per design doc, the landing page should have:

• ✅ Project cards with session count and last updated
• ❌ Recent conversations list (missing)
• ❌ Global search bar (missing)
• ❌ Index status indicator (missing)

The static archive index.html is being served instead of the dynamic landing page.

Bug Found - URL Generation Issue: Search result URLs show /v2/... instead of /podcast-summarizer-v2/... The projectToArchivePath() function is over-splitting on hyphens, taking just “v2” as the last segment instead of “podcast-summarizer-v2”.

The core problem is ambiguous encoding: when a path like /Users/varunr/projects/podcast-summarizer-v2 gets converted to -Users-varunr-projects-podcast-summarizer-v2, you can’t tell which hyphens are path separators vs. part of directory names. The best solution is to build a reverse lookup map from archive directories at startup.

The fix uses a suffix-matching strategy: for a database slug like -Users-varunr-projects-podcast-summarizer-v2, we find archive directories where the slug ends with -<dir>. The longest match wins, ensuring podcast-summarizer-v2 matches before v2 would. This is robust because directory names are unique and longer matches are more specific.

Express middleware order matters critically. express.static() by default serves index.html for directory requests (including /). When placed before route handlers, it intercepts those requests. The fix is to use { index: false } option to disable automatic index.html serving.

Express middleware order is critical - express.static() intercepts requests before route handlers. Using { index: false } gives you control but requires explicit handling for all directory requests. This pattern (static assets without auto-index + explicit route handlers) provides the best of both worlds: static file performance with dynamic routing flexibility.

The content-visibility: auto CSS property is great for virtualization but conflicts with dynamic height changes. When an element has content-visibility: auto, the browser uses the contain-intrinsic-size as a placeholder and doesn’t recalculate layout when child heights change. For collapsible content, you need real DOM measurement, so content-visibility must be avoided on those elements.

The qwen3 server uses model_name and embedding_dim fields, but our client expected model and dim. This is a common issue when integrating with different embedding servers - field naming conventions vary.

The issue is that runIndexer only accepts embedSocketPath but we’re using EMBED_URL for HTTP connections. The server.ts initialization connects to the embedding server, but doesn’t pass that configuration to the indexer.

The search response now includes type: "hybrid" and embedding_status: "available", indicating both FTS and vector search are active. The RRF (Reciprocal Rank Fusion) algorithm combines results from both methods with scores like 0.0166 (1/60 from being in top positions in both result sets).

Architecture Changes Made:

1. Embedding client updated (src/embeddings/client.ts) - Now supports both Unix sockets and HTTP URLs, with correct endpoint paths for qwen3
2. Indexer updated (src/indexer/index.ts) - Added embedUrl parameter to pass HTTP URL to indexer
3. Schema updated (src/db/schema.ts) - Changed vector dimensions from 2048 to 1024 for qwen3-small model
4. Config updated (src/config.ts) - Default model is now qwen3-small with 1024 dimensions

The hybrid search architecture combines FTS5 (full-text search with trigram tokenization) and vector search (1024-dim qwen3 embeddings) using Reciprocal Rank Fusion (RRF) to merge results. This gives the best of both worlds: exact keyword matching AND semantic similarity.

qwen3-embeddings-mlx runs the Qwen3-Embedding model on Apple Silicon using MLX (Metal acceleration). The 4-bit quantized version (0.6B parameters) provides excellent embedding quality while using only ~700MB memory and generating embeddings at high speed. This is much more efficient than running sentence-transformers on CPU.

The two-server architecture separates concerns: the embedding server handles ML inference on Apple Silicon (MLX), while the transcript viewer handles web serving and search. This allows independent scaling and the embedding server can be shared across multiple applications.

The current logic uses a fixed height (300px), not a percentage. Messages taller than 350px get collapsed to 300px with a gradient fade. This means:

• A 600px message collapses to 300px (50% visible)
• A 2000px message collapses to 300px (15% visible)
• A 400px message collapses to 300px (75% visible)

The “50%” you’re seeing is likely coincidental based on typical message heights.

Line-based collapsing is more predictable than pixel-based:

• Uses window.getComputedStyle() to get actual line-height
• Calculates total lines: scrollHeight / lineHeight
• Only collapses if hiding at least 5 lines (avoids collapsing short content)
• Button shows exact count: “Show 47 more lines” instead of generic “Show more”

The CSS uses CSS custom properties (--collapse-lines, --line-height) set dynamically by JS, making it responsive to different font sizes.

The fix was straightforward: the JS selector only targeted .message-content (detail pages) but the index page uses .index-item-content for its cells. By adding both selectors to the CSS and JS, the same collapsing logic now applies everywhere.

Claude Code has a tiered permission system where bash commands persist permanently per directory, but file edits reset each session. The key is configuring deny rules for dangerous operations (which always take precedence) while pre-approving common safe commands.

• Pattern syntax: Bash(git:*) matches any command starting with git - cleaner than listing git add:*, git commit:*, etc. separately
• Ask vs Deny: Ask rules still prompt but can’t be skipped with “skip permissions” - good for dangerous-but-sometimes-needed operations
• Rule precedence: Project deny → ask → allow → defaultMode

The observability system uses a clever pattern: structured JSON metrics are logged with a [METRIC] prefix to a dedicated metrics logger. This enables:

• Reliable filtering in KQL using startswith "[METRIC]" (more efficient than regex)
• PII protection via automatic hashing of user_id and email_domain
• Schema versioning for forward compatibility

The actual metric field names differ slightly from the design doc:

• gpu_transcriber_completed uses transcribed instead of completed
• cpu_processor_completed uses claimed, processed, failed, skipped instead of summaries_generated, cache_hits, emails_sent, emails_failed
• transcription_completed uses duration_ms instead of transcription_duration_ms, and is missing audio_duration_sec

This is common in incremental implementations - tracking these discrepancies helps maintain accurate dashboards.

The Codex review caught a subtle but critical bug: the original design added was_cache_hit to DeliveryResult but never showed how it would be set. The fix requires changing the return type of get_or_create_summary_text() from str | None to a structured result - a common pattern when you need to return both data and metadata.

Key changes based on Codex feedback:

1. Task 3b added - audio_duration_sec fallback guard ensures real-time factor calculation has data even when transcriber returns None/zero
2. Task 6 fixed - Removed duplicate summarization_cached emission; metric now only emits in _get_or_create_summary() to avoid double-counting
3. Task 9b added - Truth table validation tests verify all delivery outcome scenarios

Progress update: 4 of 13 tasks complete. The GPU transcriber observability is now fully implemented with:

• audio_duration_sec field threaded through the pipeline
• Fallback guard for None/zero values
• Dual-write for backward compatibility

Service Boundary Metrics: In this codebase, metrics are emitted at service boundaries where work is completed. The deliver_one method is the natural place for email metrics because it’s where the email send operation happens. This follows the pattern where each service emits metrics about its own operations, making it easy to track which component is responsible for what.

Aggregate vs. Per-Item Metrics: The CPU processor already emits cpu_processor_completed with basic stats. Adding summaries_generated, cache_hits, emails_sent, and emails_failed enables quick job-level health checks without querying individual email_sent/email_failed events. This dual-write pattern (aggregate + per-item) is common in observability - aggregates for dashboards, per-item for debugging.

Truth Table Tests: These tests validate the metric combinations for each delivery outcome. They’re documentation-as-tests - ensuring the design doc’s truth table is accurately implemented. This pattern is valuable for complex state machines where different outcomes produce different metric combinations.

Return Type Change Cascades: When changing a function’s return type (from str | None to SummaryTextResult), you need to update not just the callers but also any mocks in tests. This is why such changes are often bundled with test updates in the same commit.