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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
fleet 1 Workspace version compliance checking
release 2 Pre-release validation, version file checking
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

v2.25.0 -- Engage Driver Intelligence + Pipeline Reliability

  • Pre-dispatch AC check: skip tasks whose work was already completed in prior sprints
  • Driver self-commit detection: recognize when drivers commit their own work
  • Engage-mode enforcement bypass: headless drivers no longer blocked by interactive hooks
  • bpsai-pair preflight: run tests with CI-matching env before pushing
  • CI triggers on dev only (no more duplicate runs on main+dev)
  • Sweep full-file parsing fix: reads complete files from git refs instead of diff fragments

v2.24.0 -- Sweep: Diff-Aware Dead Code Cleanup

  • bpsai-pair sweep: find dead imports, orphaned tests, stale helpers after code changes
  • Diff-aware reverse impact analysis with provider auto-detection (Python AST + generic regex)
  • --fix auto-removes high-confidence dead imports
  • --deep requests full dependency graph analysis from Amunet via A2A
  • Post-engage hook: cleanup opportunities in PR body (advisory)
  • Review posting fix: large review bodies piped via stdin
  • Engage lifecycle hooks pass --allow-dirty for reliable automated sprints
  • Full CI test suite green (13,253+ tests) with license bypass for CI

v2.23.2 -- Hotfix: Engage Lifecycle + CI Test Suite

  • Engage lifecycle hooks pass --allow-dirty (dirty-tree guard no longer blocks automated task completion)
  • Full CI test suite green: 13,253 tests passing on every push
  • BPSAI_UNLOCK_ALL_FEATURES env var for CI testing without a license
  • NO_COLOR in CI prevents Rich ANSI codes from breaking assertions

v2.23.1 -- Hotfix: Engage Commit Verification + Upgrade Commit

  • Fixed false positive engage_commit_empty on every task when repo had a stale CLI version
  • Auto-upgrade now commits config artifacts to git (clean tree after upgrade)
  • upgrade --commit flag for explicit commit after manual upgrade
  • fleet check --upgrade --commit triggers project upgrade + commit per repo

v2.23.0 -- Engage Reliability + Hook Intelligence + Resume

  • engage --resume: skip completed tasks on retry, no more re-running entire sprints
  • Security agent fail-closed for ALL exceptions (not just OSError). Diff piped via temp file.
  • Hook failure propagation: tasks no longer silently succeed when hooks fail
  • On-disk dependency verification prevents stale in-memory state
  • Human-gated tasks: requires: human in backlog frontmatter pauses engage
  • --create-branch / --branch flags for branch lifecycle management
  • Pre-engage containment audit warns about protected path conflicts
  • TaskCompleted verifies meaningful output (empty commits flagged)
  • StopFailure blocks next task and surfaces reason
  • SubagentStop + TeammateIdle push status to A2A channels
  • Pre-task budget heuristic warns before session limits hit
  • Review skills use context: fork for agent isolation
  • Forgiving backlog parser (em dash, double hyphen, single hyphen)
  • UTF-8 encoding on all engage subprocess calls (Windows cp1252 fix)
  • Full test suite CI on every push to dev/main
  • 13,275+ tests passing

v2.22.1 -- Hotfix: License Activation Auth

  • Machine activation, deactivation, and listing now send the required X-License-Key auth header

v2.22.0 -- Mythology Agent Identity + Vaivora Review Agent

  • All agents use mythology names as identifiers: Nayru (reviewer), Laverna (security auditor), Bellona (pre-execution gatekeeper), Vaivora (cross-module review), Divona (QC)
  • Vaivora wired as third review agent for large diffs (>500 lines or >10 files)
  • Review pipeline refactored: engage, branch, and PR review use shared dispatch with mythology display names
  • REVIEW intent type: "review these PRs" routes to the review skill instead of generic reasoning
  • Laverna upgraded to Opus model for complete security findings
  • Engage auto-created PRs now target dev branch when dev exists
  • 12,844+ tests passing

v2.21.5 -- Branch Enforcement + Intent Merge Strategy

  • Branch enforcement: source code on main/dev is blocked, docs/state allowed through
  • Intent-driven merge strategy: squash vs merge based on work intent and branch pattern
  • PR labels (merge:squash, merge:merge) carry strategy to merge time
  • Auto-upgrade stages .paircoder/ files to prevent dirty tree in engage
  • Stale containment stash cleanup in engage pre-flight
  • 12,500+ tests passing

v2.21.4 -- Review Command + Targeted Tests + Engage Fixes

  • bpsai-pair review pr/branch/task: Python-enforced review dispatch with agent scaling
  • Intent sub-classification routes review requests to the right variant
  • Engage tasks run targeted tests (seconds) instead of full suite (minutes)
  • Engage executor no longer crashes on lifecycle hook failures
  • Engage commits exclude .paircoder/ bookkeeping files (no more merge conflicts)
  • Agent mythology display names in review dispatch and output
  • Error-as-approval bug fixed: failed reviews no longer pass as approvals
  • 12,500+ tests passing

v2.21.3 -- Release Hardening + Engage Review Loop

  • Version downgrade protection: CLI no longer overwrites config with older versions
  • bpsai-pair release validate-versions: pre-tag gate with --fix auto-repair
  • bpsai-pair fleet check: workspace version compliance with --upgrade and --json
  • Per-task review loop in autonomous sprints with automatic correction
  • Pre-PR security gate blocks pull requests with critical findings
  • Agent upgrade preserves custom fields (memory, maxTurns, display names)
  • support open shows actual error details instead of generic messages
  • 12,500+ tests passing

v2.21.1 -- Remote Session Enforcement

  • SessionStart hook auto-installs PairCoder in remote sessions
  • API error surfacing across all license, support, and subscription commands

v2.21.0 -- Enforcement + Observability

  • Intent recognition and approval gate for autonomous dispatch
  • Operational signals: uncommitted code, abandoned sessions, gate blocks
  • Protected branch guard: engage refuses to run on main/dev

v2.20.0 -- Engage Pipeline

  • bpsai-pair engage runs full sprints autonomously (branch, tasks, PR, review)
  • /make-it-so command: intent to shipped PR in one command
  • bpsai-pair doctor with 9 health checks and --fix auto-repair

Documentation

Requirements

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

Support

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