) * feat(bench): add benchmark infrastructure and optimization targets Add comprehensive benchmarks across the critical path (slug search cache, fuzzy matching, slug generation, filename parsing, NDEF parsing, config, mappings, advargs). Add Taskfile tasks for bench workflow (bench, bench-db, bench-baseline, bench-compare). Add optimization target documentation and background agent prompts for security review, dependency audit, and optimization scanning. Add AGENTS.md sections for benchmarks and background agent mode. * feat(bench): add pipeline, title resolution, and scan-to-launch benchmarks - Batch inserter benchmarks (insert, flush cost, commit cost) with real SQLite - Slug search cache build from real DB (10k, 50k titles) - Title resolution benchmarks (cache hit, exact match, fuzzy fallback) - Scan-to-launch pipeline benchmarks (exact match, direct path, with mapping) - Shared BuildBenchFilenames helper in pkg/testing/fixtures - Refactor NewInMemoryMediaDB to accept testing.TB for benchmark use - Remove stale fuzz commands for deleted zapscript/parser package - Fix bench tasks: add -run='^$', filter baseline output for benchstat * feat(bench): add MiSTer ARM benchmark infrastructure and baselines Add cross-compile + SSH pipeline for running benchmarks on real MiSTer hardware (Cortex-A9). Reduce benchmark sizes to fit MiSTer's 492MB RAM. Suppress zerolog output during benchmarks to prevent output corruption. Generate x86 and MiSTer baseline files. * fix(bench): fix broken memory and FlushScanStateMaps benchmarks Add Size() method to SlugSearchCache for deterministic memory measurement — replaces broken HeapAlloc delta that reported ~0 MB. Add runtime.KeepAlive to FlushScanStateMaps benchmark to prevent compiler dead-code elimination (was 78x too fast on x86). Update optimization targets with MiSTer multiplier bands, resolution cache optimization opportunity, and revised targets based on production measurements. Regenerate both baselines. * docs(prompts): add agent optimization prompts with experiment loop workflow Rewrite optimization-scan.md from generic 20-line prompt to full autoresearch-style experiment loop with keep/discard logic, MiSTer prediction via multiplier bands, and scope constraints. Add 4 target-specific prompts with exact file/function references, benchmark commands, x86 CI thresholds, and algorithmic ideas: - optimize-slug-search.md (#1: Search() linear scan, target 2.9ms x86) - optimize-fuzzy-matching.md (#2: worst-case full scan, target 2.9ms x86) - optimize-indexing.md (#3: pipeline 32s/10k, target 21s/10k on MiSTer) - optimize-memory.md (#4: 101MB RSS investigation, target 50MB)

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Probe device can cause a hang in GUI #2

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