- README.md: Add hybrid search and robot mode to feature list. Update
quick start to use new noun-first CLI syntax (lore issues, lore mrs,
lore search). Add embedding configuration section. Update command
examples throughout.
- AGENTS.md: Update robot mode examples to new CLI syntax. Add search,
sync, stats, and generate-docs commands to the robot mode reference.
Update flag conventions (-n for limit, -s for state, -J for JSON).
- docs/prd/checkpoint-3.md: Major expansion with gated milestone
structure (Gate A: lexical, Gate B: hybrid, Gate C: sync). Add
prerequisite rename note, code sample conventions, chunking strategy
details, and sqlite-vec rowid encoding scheme. Clarify that Gate A
requires only SQLite + FTS5 with no sqlite-vec dependency.
- docs/phase-a-spec.md: New detailed specification for Gate A (lexical
search MVP) covering document schema, FTS5 configuration, dirty
queue mechanics, CLI interface, and acceptance criteria.
- docs/api-efficiency-findings.md: Analysis of GitLab API pagination
behavior and efficiency observations from production sync runs.
Documents the missing x-next-page header issue and heuristic fix.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Updates project documentation to reflect the complete CP2 feature set
with merge request ingestion and robot mode capabilities.
README.md:
- Add MR-related CLI examples (gi list mrs, gi show mr, gi ingest)
- Document robot mode (--robot flag, GI_ROBOT env, auto-detect)
- Update feature list with MR support and DiffNote positions
- Add configuration section with all config file options
- Expand CLI reference with new commands and flags
AGENTS.md:
- Add MR ingestion patterns for AI agent consumption
- Document robot mode JSON schemas for parsing
- Include error handling patterns with exit codes
- Add discussion/note querying examples for code review context
Cargo.toml:
- Bump version to 0.2.0 reflecting major feature addition
The documentation emphasizes the robot mode design which enables
AI agents like Claude Code to reliably parse gi output for automated
GitLab workflow integration.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Set up the GitLab Inbox (gi) CLI tool as a Rust 2024 edition project.
Dependencies organized by purpose:
- Database: rusqlite (bundled SQLite), sqlite-vec for vector search
- Serialization: serde/serde_json for GitLab API responses
- CLI: clap for argument parsing, dialoguer for interactive prompts,
comfy-table for formatted output, indicatif for progress bars
- HTTP: reqwest with tokio async runtime for GitLab API calls
- Async: async-stream and futures for paginated API iteration
- Utilities: thiserror for error types, chrono for timestamps,
flate2 for payload compression, sha2 for content hashing
- Logging: tracing with env-filter for structured debug output
Release profile optimized for small binary size (LTO, strip symbols).
Project structure follows standard Rust conventions with src/lib.rs
exposing modules and src/main.rs as CLI entry point.
Added .gitignore for Rust/Cargo artifacts and local database files.
Added AGENTS.md with TDD workflow guidance and beads issue tracking
integration instructions for AI-assisted development.
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>