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AI-augmented pair programming framework with 200+ CLI commands for planning, orchestration, Trello/GitHub integration, and autonomous workflows

Project description

bpsai-pair

AI-augmented pair programming framework with 200+ CLI commands

PyPI version Python 3.10+ License

Overview

bpsai-pair (PairCoder) is a comprehensive AI pair programming framework that provides structured workflows, enforcement gates, and integrations to ensure AI agents follow proper development practices.

  • Planning & Task Management — Sprint planning, task lifecycle, Trello sync, and budget tracking
  • Skill-Based Workflows — 9 built-in skills for TDD, code review, releases, architecture, and more
  • Integration Hub — Trello, GitHub, MCP servers, and Toggl time tracking
  • Architecture Enforcement — File size limits, function boundaries, import caps, and auto-split suggestions
  • Telemetry & Feedback — Session telemetry, self-calibrating estimation, anomaly detection
  • Workspace Orchestration — Multi-project workspaces, cross-repo contract detection, impact analysis
  • Intelligence Pipeline — Usage snapshots, value extraction scoring, tamper detection
  • Interactive Setup Wizard — Web-based project configuration with AI-guided setup
  • Licensing & Security — Tiered feature gating, secret scanning, containment mode
  • Quality Control — Browser-based QC with spec format, execution runtime, and gate enforcement
  • Containment Mode — Tiered file access control via PreToolUse hooks
  • Autonomous Sprint Executionbpsai-pair engage runs full sprints: branch, tasks, PR, review, observations
  • Machine Interface--json envelope on all commands for programmatic consumption
  • Health Checkbpsai-pair doctor validates setup with 9 checks and auto-repair
  • Slash Commands/make-it-so (intent to PR), /draft-backlog (engage-compatible backlogs)

Installation

# Core installation
pip install bpsai-pair

# With integrations
pip install bpsai-pair[trello]      # Trello board sync
pip install bpsai-pair[github]      # GitHub PR management
pip install bpsai-pair[mcp]         # MCP server support
pip install bpsai-pair[all]         # All extras

Quick Start

# Initialize a new project
bpsai-pair init

# Or use the interactive wizard
bpsai-pair wizard

# Check project status
bpsai-pair status

# Create a sprint plan
bpsai-pair plan new my-feature --type feature

# Start a task (with Trello sync)
bpsai-pair ttask start TRELLO-123

# Run architecture checks
bpsai-pair arch check

# Pack context for AI assistants
bpsai-pair pack

Key Command Groups

Group Commands Description
plan 8 Sprint planning, task creation, Trello sync
task 12 Task lifecycle, status updates, archival
trello / ttask 27 Trello board management, card workflows
github 8 PR creation, merge, auto-archive
skill 8 Workflow skills, export to Cursor/Windsurf
license 10 License management, feature gating
telemetry 3 Session telemetry, privacy config, export
feedback 4 Calibration, accuracy, task-type estimates
workspace 5 Multi-project orchestration, impact analysis
arch 2 Architecture enforcement, split suggestions
budget 3 Token budget tracking, task cost estimates
security 4 Secret scanning, containment mode
qc 6 Quality check specs, execution, reporting
query 3 Cross-agent state and telemetry queries
engage 1 Autonomous sprint execution from backlog
containment 2 File access enforcement and status

License Tiers

Feature Solo Pro Enterprise
Planning & tasks Y Y Y
Skills & enforcement Y Y Y
Setup wizard Y Y Y
Telemetry & feedback Y Y Y
Trello integration Y Y
GitHub integration Y Y
MCP servers Y Y
Token budget & cost tracking Y Y
Workspace orchestration Y Y
Remote access & SSO Y

Check your license: bpsai-pair license status

What's New in v2.17.0

SQLite Telemetry (Sprint 40):

  • SQLite-backed telemetry stores replace flat-file storage with indexed databases
  • JSONL-to-SQLite migration engine for legacy data
  • Containment enforcement gate — PreToolUse hook for file access control
  • Query skills framework — five A2A skills for cross-agent queries
  • Signal emission from session hooks for downstream monitoring

Quality Control Framework (Sprint 41):

  • QC spec format with element discovery, fill rules, and validation
  • QC CLI commands: bpsai-pair qc list|validate|report|init
  • QC agent and /run-qc slash command
  • Cross-repo workspace task state queries
  • Subagent context injection

QC Runtime & Monitoring (Sprint 42):

  • End-to-end QC execution runtime with result persistence
  • A2A query skills adapter and CNS monitoring signals
  • QC telemetry trends in SQLite
  • StopFailure hook for abnormal termination capture

Documentation

Requirements

  • Python 3.10 or higher
  • Git (for project management features)

Support

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