Sebelumnya SemanticSearch/ListSymbols/RebuildIndex menahan SYMBOL_INDEX
Mutex selama full `rebuild` (walk seluruh workspace, bisa detikan) +
selama search. Di main loop yang menjalankan read-only tools paralel,
semantic_search/list_symbols lain jadi BLOCK selama rebuild.
Refactor:
- Global berubah Mutex<Option<SymbolIndex>> -> OnceLock<Mutex<HashMap<
workspace, SymbolIndex>>> — index per-workspace, jadi pencarian workspace B
tidak mungkin bocor simbol stale dari A (workspace-awareness kini struktural,
bukan hanya via needs_rebuild).
- ensure_symbol_index(workspace, force): rebuild dijalankan DI LUAR lock
(mutex hanya dicek/insert/lookup singkat), lalu hasilnya di-swap-in di bawah
short lock. Search/list/rebuild-report tak lagi memblock thread lain selama
walk I/O. Per-workspace key menghilangkan race lintas-workspace dari skema
swap tunggal.
- Test +1 (test_ensure_symbol_index_per_workspace_isolation): verifikasi dua
workspace punya index independen, rebuild A tidak menimpa B.
Verifikasi: check/clippy -D warnings/fmt clean; test infra 64 (0 gagal).
SymbolIndex global sudah melacak workspace_path tapi SemanticSearch dan
ListSymbols Cuma rebuild saat index kosong (is_empty). Akibat: setelah
mengindeks workspace A, mencari di workspace B diam-diam mengembalikan
simbol STALE dari A — menyesatkan coding agent (referensikan simbol yang
tidak ada di repo aktif).
Fix:
- Tambah SymbolIndex::needs_rebuild(workspace) — true bila index kosong
ATAU workspace diminta beda dari yang ter-cache.
- Pakai di 2 call site (SemanticSearch::run, ListSymbols::run) menggantikan
is_empty(), jadi pindah workspace otomatis trigger rebuild.
- test: +1 (test_needs_rebuild_workspace_aware — verifikasi flip workspace
memicu rebuild bolak-balik A -> B -> A).
Catatan (bukan bug, dilaporkan): mutex SYMBOL_INDEX masih dipegang selama
full rebuild di run() — bottleneck saat semantic_search dipanggil paralel;
perbaikan butuh restrukturisasi double-checked rebuild, tak diubah di sini.
Verifikasi: check/clippy -D warnings/fmt clean; test infra 63 (0 gagal).
Hasil audit round 4 (workflow/hive_mind + memory + semantic_search).
- fix(memory): recall.search selama ini TIDAK pernah dipakai — tool
mengiklankan keyword search di skema tapi run() cuma list semua nama.
Kini search benar-benar memfilter (cocok di name/description/content,
case-insensitive), + output 'No memories match' bila kosong.
- fix(memory): ToolCtxBuilder tidak punya setter memory_dir dan tak ada
call-site yang mengisinya — remember/recall/forget memakai PathBuf kosong
dan menulis memory ke CWD (bukan lokasi persisten). Tambah setter
memory_dir + worktrees_dir, dan helper resolve_memory_dir() yang fallback
ke Store::new().memory_dir bila ctx.memory_dir kosong; dipakai di ketiga
tool memory.
- refactor(workflow): hapus LlmClient dummy di WorkflowRun (dibuat dengan
API key kosong + model default + base_url default lalu tak pernah dipakai
— execute_workflow menerimanya sebagai _llm_client). Kini execute_workflow
tak ambil parameter tak terpakai; LLM asli tetap lewat execute_primitive
yang resolve kredensial dengan benar.
- test: +2 (recall search memfilter; resolve_memory_dir fallback/eksplisit).
Catatan audit yang dilaporkan (belum difix): synth_consensus hanya
menggabungkan output (label Consensus menyesatkan, bukan sintesis LLM), dan
semantic_search memegang Mutex index global saat full rebuild (bottleneck
saat paralel) + index tidak workspace-aware.
PENTING (infra): disk root 100% saat kerja. Saya bebaskan ~4.6G dari /tmp +
cache aman (sekai*, verify-z, bun/npm cache). target/debug di repo = 38G —
rampah, perlu cargo clean + rebuild (jangan dibiarkan).
Sebelumnya loop utama mengeksekusi semua tool call satu-per-satu
(sequential for loop). Seperti Claude Code, tool read-only yang
independen dalam satu pesan assistant (read/grep/glob/semantic_search
dsb.) kini dijalankan konkuren dengan bounded parallelism (max 8),
mengurangi latensi per turn secara signifikan untuk beban coding.
- feat(registry): tool_is_parallel_safe() — whitelist tool read-only
yang aman dijalankan paralel; tool mutating/shell tetap sequential
- feat(executor): is_parallel_safe() delegasi ke registry; ToolExecutor
trait Default=false (konservatif)
- fix(application): execute_tool_calls_in_parallel() — join_all +
semaphore bounded 8, hasil dikumpulkan dalam URUTAN panggilan asli
(kontrak OpenAI/Anthropic tool-result ordering)
- loop utama: batch paralel hanya jika SEMUA tool parallel-safe; jika
ada satu tool mutating, jatuh balik ke jalur sequential aman
- test: +2 registry test, +2 application test (konkurensi & urutan,
fallback batch mutating)
Ganti explore phase MANDATORY (3 subagent tiap turn, boros) dengan
tool explore_codebase yang DIPUTUSKAN agent sendiri (lazy, token-aware):
- hapus ExploreService trait + with_explore + Phase 0 dari turn loop
- ExploreServiceImpl kini jadi tool 'explore_codebase' (1 context-scout
subagent, read-only, cap output 4k chars)
- system prompt: instruksi TOKEN BUDGET (jawab langsung utk query simple,
panggil explore_codebase sekali utk task kompleks)
Loop utama kini adaptif & self-healing:
- max_tokens adaptif (800/1600/4096 by request length) — bukan selalu 4096
- temperature 0.2 saat tool-calling, 0.7 utk final answer
- ErrorTracker: deteksi tool error berulang → inject recovery note,
stop setelah 8 error total (bukan 50 iterasi sia-sia)
- auto-compact history > 60k chars sebelum LLM call
- tool output di-truncate ke 12k chars sebelum masuk konteks
Tambah 8 unit test (truncation, adaptive tokens, error tracker).
- Use type alias ExtDispatch for the HashMap type (fixes type_complexity)
- Use .insert() instead of HashMap::from([...]) to avoid fn ptr trivial casts
- Remove all as fn(...) casts to avoid clippy::trivial_casts
Fix 18 clippy errors across 7 files:
- lib.rs: change doc comment to regular comment (empty line after doc)
- arch_audit.rs: replace format!() with string literal, use is_none_or
- code_quality.rs: collapsible if, map_or → is_none_or
- commit.rs: collapsible match guard
- explore.rs: needless_range_loop → iterator enumerate
- skills.rs: map_or(false,...) → is_some_and
- semantic_search.rs: map_or → is_none_or, sort_by → sort_by_key,
remove explicit type to avoid type_complexity
CI was failing with 'error: could not compile zesdex-infrastructure
due to 18 previous errors' at clippy step.
- Added `ExploreService` trait and `ExploreServiceImpl` struct to handle the exploration of codebase context before agent turns.
- Implemented three parallel subagents: Code Structure, Symbol Index, and Semantic Context, each with specific directives.
- Integrated the explore phase into the agent turn process, ensuring that each turn starts with a consolidated context message.
- Enhanced `spawn_agent_turn` function to include explore service wiring and context preparation.
- Implemented a code quality scanner that checks for common clean-code violations in Rust source files, including missing documentation, usage of `.unwrap()` in production code, and commented-out code.
- Introduced a commit message validator that follows the Conventional Commits specification, ensuring proper formatting and providing suggestions for invalid messages.
- Created a unified BestPracticeEngine to encapsulate the functionalities of skills, architecture audits, code quality checks, and commit message validation.
- Added tests for both the code quality scanner and commit message validator to ensure reliability and correctness.
- Created solid.md to document the SOLID principles for clean code practices.
- Created tdd.md to outline Test Driven Development principles and practices.
- Added kana-rust-backend-best-practice.md as a reference guide for building a Rust backend using Axum and SeaORM.
- Established push-flow-convention.md to enforce pre-commit and pre-push hooks with versioning rules.
- Introduced AGENTS.md to provide guidance on best practices and available commands for Kilo.
- Configured kilo.json to include new skills and agents for enhanced functionality.
- Added lefthook.yml for managing git hooks to ensure code quality and adherence to conventions.
- Add AppStateRest as the central state struct for managing TUI state.
- Implement InputState for handling user input, autocomplete, and history.
- Create MiscState to manage overlays, notifications, and editor state.
- Introduce ScrollState for viewport scrolling functionality.
- Develop TranscriptCache for efficient message rendering in the chat pane.
- Implement SimpleAgent and SimpleWorkflowEngine for agent lifecycle management.
- Add helper functions for managing effort levels and token counting.
- Organize state-related modules for better maintainability and clarity.
- Moved `AccessTier` and `SubagentEvent` enums to `zesdex_domain::subagent`.
- Consolidated workflow-related types into `zesdex_domain::workflow`.
- Updated references across the codebase to use the new domain models.
- Refactored tool execution logic to utilize a new `ToolExecutor` trait.
- Enhanced `AgentTurnService` to handle tool calls and events more effectively.
- Adjusted API handlers and state management to align with new domain structure.
- Implemented a new tool for semantic code search that indexes Rust code symbols (functions, structs, enums, traits, modules) and allows searching by name, concept, or meaning.
- Introduced a symbol index structure with methods for rebuilding the index and searching symbols.
- Added regex patterns for extracting various code symbols from Rust source files.
- Implemented scoring logic for search results based on exact matches, prefix matches, and context relevance.
- Created a web search tool that interacts with a SearXNG instance to fetch documentation and API information based on user queries.
- Added a diff preview overlay for rendering git diff output with color-coded additions and deletions in a TUI interface.
feat(shell): enhance output capturing by using threads for stdout and stderr
feat(tui): update usage widget to display token counts and provider/model information
refactor(tui): simplify status bar rendering by removing unnecessary token calculations
- Added tracing instrumentation and improved logging messages in the Pong, Todofinish, and Todowrite tools for better debugging and monitoring.
- Enhanced documentation comments for clarity on tool functionalities and workflows.
- Implemented tracing in WorkflowRun, NoteFinding, ReadFindings, and HiveMind tools to track execution phases and findings.
- Updated TUI overlays (e.g., Bash, Clear Confirm, Editor, Effort Level, Help, Key Input, Learning, Loading, MCP, Model Selector, Plan, Quit Confirm, Rewind, Settings, Todo, Usage) with debug logging to capture rendering details.
- Improved the status bar and workflow panel rendering with additional debug information.
- Added tracing to various utility functions to facilitate better performance monitoring and error tracking.
feat(bootstrap): create temporary settings and config files to prevent data loss
refactor(edit_log): switch from Vec to VecDeque for efficient memory management
fix(gateway): ensure store directories are created before starting the API server
refactor(bgbash): implement a global singleton for BashControl
feat(auth): enhance session authentication middleware to use SessionRepository
fix(edit_log_repo): update to use VecDeque for in-memory edit log storage
fix(memory_repo): add newline escaping for frontmatter fields
fix(session_lock_repo): improve error handling for lock file operations
fix(bash_tools): prevent path traversal in job_id argument
refactor(delete): enforce empty directory deletion in file system tools
fix(edit): optimize string replacement to only replace the first occurrence
fix(git_cred): improve credential management with piped input to git commands
feat(git_operator): add safety filter to block destructive git operations
fix(shell): register background jobs in Bash control
feat(spawn): add access tier specification for pipeline stages
refactor(hive_mind): run directives concurrently for improved performance
fix(auth): update refresh token verification in the refresh handler
fix(chat): optimize LLM client usage based on model matching
fix(conversations): enhance message deletion to target specific indices
feat(api): add JWT authentication middleware for all API routes
fix(state): implement refresh token verification in JwtTokenService
fix(daemon): improve usage tracking with saturating addition
fix(tui): handle compacted messages in the TUI state management
feat(tui): implement status bar with connection and turn state indicators
feat(tui): create workflow panel for agent status and progress visualization
feat(web): introduce web frontend interface with static file serving
feat(ws): add WebSocket interface for real-time communication and session management
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