- Updated markdown rendering logic to use more concise methods for obtaining vector lengths.
- Changed review status display to use the correct flag from settings.
- Cleaned up sidebar rendering code for better formatting and readability.
- Enhanced status bar rendering with improved string formatting and consistent style application.
- Refined workflow panel rendering, ensuring consistent style usage and improved readability.
- Added architecture overview and detailed documentation for backend, data, dependencies, and frontend structures.
Ditemukan reviewer whole-branch final: looks_log_shaped murni berbasis
konten (>=3 baris berpola error/warn/fail), jadi hasil grep/search yang
match ke kode error-handling ikut lolos ambang itu -- padahal
squash_log punya cap keras 20 error + 10 warning tanpa budget byte,
diam-diam membuang match yang sah di luar cap itu. Sekarang hanya tool
bash (penghasil log sungguhan) yang boleh lewat squash_log; tool lain
yang kebetulan konten-nya mirip log jatuh ke squash_generic yang lebih
longgar (head/tail + budget byte). Tambah test regresi yang membedakan
kedua jalur lewat retensi baris terakhir.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Perbaikan gaya murni (format! di-append ke String -> write!, syntax
perbandingan yang lebih jelas, backtick di doc comment) tanpa
mengubah perilaku -- semua test tetap hijau.
Off by default, diaktifkan lewat settings.json (belum ada UI toggle —
sama seperti review_enabled/session_archive_enabled/lsp_auto_provision
yang juga cuma bisa diedit manual hari ini). Saat aktif, system prompt
diberi instruksi menulis ringkas, dengan pengecualian eksplisit untuk
konfirmasi operasi destruktif dan peringatan keamanan yang tetap harus
detail penuh.
Salinan yang dikirim ke UI (TurnEvent::ToolResult) tetap utuh; hanya
salinan yang masuk riwayat percakapan (dikirim ke LLM) yang dikompres,
supaya user tetap melihat output tool apa adanya.
Masih menyebut shortsend padahal modul itu sudah dihapus dan diganti
context::dedup/context::shaping di commit sebelumnya.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Loop auto-compaction sekarang selalu menjalankan dedup tiap iterasi
lalu shaping lewat context::, menggantikan shortsend:: yang dihapus.
Action::Compact tadinya berjalan sinkron dan selalu client: None,
sehingga hasil compact manual tidak pernah diringkas LLM (beda dengan
compaction otomatis di tengah turn). Sekarang /compact jalan di
thread background seperti spawn_turn, sehingga bisa memanggil LLM
untuk meringkas riwayat yang dibuang — perilaku manual dan otomatis
jadi setara.
Ekstrak resolve_llm_client_config() dari spawn_turn supaya logika
resolusi api_key/model/base_url tidak dua kali.
Perilaku should_shape/shape_messages tidak berubah, hanya sumber
penghitungan token yang sekarang lewat context::tokens (tiktoken-rs)
menggantikan heuristik char/3 bawaannya sendiri.
Kompresi per-jenis-konten (JSON: pertahankan struktur & value pendek/
entropi tinggi, buang value panjang bertele-tele; log: simpan baris
error/warning berskor tertinggi + konteks sekitarnya; generic: potong
importance-ranked) untuk hasil tool di atas 1.5KB. Tool read dikecualikan
total karena isinya harus tetap byte-exact untuk edit selanjutnya.
Panggilan tool read-only (read, grep, glob, dst) dengan argumen persis
sama menyisakan satu salinan penuh saja di context; entri lama diganti
placeholder tapi tool-call-nya sendiri tetap terlihat di riwayat. Tool
bersifat mutasi (write/edit/bash/dll) tidak pernah disentuh.
Jadikan tool_scope::READ_TOOLS pub supaya jadi satu-satunya sumber
klasifikasi read-only, dipakai ulang bukan didaftar dua kali.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Satukan tiga salinan logika resolusi context_window (Action::Compact,
spawn_turn, status bar) yang sempat melenceng satu sama lain.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Ganti tiga heuristik char-count (/3 di shortsend, /4 di loop turn, /4
di status bar) yang saling tidak konsisten dengan satu BPE tokenizer
nyata. tiktoken-rs membundel vocab lewat include_str! saat build, jadi
tidak ada akses jaringan saat runtime.
Fixture pendek sebelumnya (~8 token nyata per pesan lewat tiktoken)
tidak pernah melebihi target 700 token, jadi shape_messages tidak
pernah men-drop satu pesan pun -- satu test gagal, satu test lain
lulus secara vakum. Pakai fixture lebih panjang (~49 token/pesan)
yang diverifikasi melebihi target dengan nyaman.
- Added functionality to generate lessons based on code reviews, including prompts and instructions for the reviewer.
- Updated the `.gitignore` to exclude lesson documentation files.
- Removed the `/lesson` command from the help menu and command parsing.
- Enhanced the status bar to display a message when a lesson is being generated.
- Introduced a new `lesson_running` state to track lesson generation progress.
- Updated various components to handle the new lesson generation workflow, including subagent events and token usage tracking.
Overlay Todo dan Usage sebelumnya tidak punya trigger sama sekali di
jalur interaksi normal (cuma bisa lewat restore snapshot sesi) --
sekarang mengikuti pola /workflow yang sudah ada.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
unnested_or_patterns, collapsible_if, items_after_statements, dan
case_sensitive_file_extension_comparisons di auto.rs, engine.rs, dan
actions/mod.rs.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Pesan sistem bertanda [Hive-Mind Consensus] hanya di-push ke variabel lokal
run_agent_turn dan diarsipkan ke SQLite, tidak pernah masuk ke
rt.messages lewat TurnEvent — sehingga hive_mind_already_ran selalu
memindai daftar pesan yang kosong dan gerbang "converge sekali per sesi"
tidak pernah aktif. Tambahkan SessionRuntime.hive_mind_converged yang
diset dari event TurnEvent::SystemNote { kind: "hive_mind_converged" }
setelah konvergensi selesai, disalurkan lewat TurnCtx, dan dijadikan
sinyal utama di run_agent_turn (pemindaian pesan lama tetap sebagai
fallback defensif).
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
- Introduced a new hive-mind architecture that allows the Core Intelligence to issue directives to anonymous processing nodes.
- Each node executes its directive and merges output into a collective state, visible to all nodes in real-time.
- Added support for dynamic cognitive cycles, enabling flexible task management.
- Implemented documentation generation for hive-mind runs, ensuring a durable record of decisions and actions.
- Refactored existing company pipeline tools to align with the new hive-mind structure, replacing division-specific prompts with a more generalized approach.
- Updated workflow rendering to accommodate hive-mind nodes and their system-assigned designations.
- Enhanced error handling and validation for cognitive cycle plans.
- Updated README.md to reflect the addition of 3 new built-in tools, bringing the total to 37.
- Revised architecture documentation to indicate the increase in tool count.
- Enhanced backend documentation with updated line counts for various modules.
- Modified data documentation to change edit log format from JSON to JSONL.
- Updated dependencies documentation to reflect version upgrades for several crates.
- Improved prompts for auto-reviewer, division implementer, planner, tester, and quality reviewer to enforce stricter coding standards regarding linter bypasses.
- Refactored code in various modules to improve clarity and performance, including updates to error handling and tool execution logic.
- Added comprehensive tests for IPC frame serialization and deserialization.
- Updated `crossterm` from version 0.28 to 0.29.
- Upgraded `reqwest` from version 0.12 to 0.13 and added "form" feature.
- Bumped `serde_yaml_ng` from version 0.9 to 0.10.
- Increased `dirs` version from 5 to 6.
- Updated `rusqlite` from version 0.32 to 0.40.
- Upgraded `infer` from version 0.16 to 0.19.
- Bumped `sha2` from version 0.10 to 0.11.
- Updated `rmcp` from version 1.8 to 2.2.
- Refactored SHA256 hash encoding in `rewind.rs`, `mod.rs`, and `rest.rs` to use `hex::encode` instead of formatting with `{:x}` for better clarity and consistency.
- Introduced prompts for various subagent roles: architecture reviewer, code quality reviewer, documentation maintainer, implementation team, testing team, and security reviewer.
- Implemented the auto-subagent orchestration in `auto.rs` to manage inline and background reviews.
- Created a division structure in `division.rs` to define roles and responsibilities for each subagent.
- Developed a company workflow orchestrator in `company.rs` to run the complete division pipeline, consolidating findings and generating executive summaries.
- Added logic to determine whether to run a full or quick pipeline based on request complexity.
asepharyana