Bodhiorchard

The Bodhiorchard Methodology

An AI-native way to build software. From conversation to production — every phase powered by intelligent agents working alongside humans.

Clone, configure, and bring the stack up locally.

See it

The Living Tree, the BUD board where features move through their lifecycle, and the Feature registry of what shipped.

The gamification layer

The Skill Agent rebuilds developer profiles nightly. Skills compound, badges unlock, and the leaderboard reflects what people shipped — not how many tickets they touched.

The Flow
Chat Intake
Incoming requests analyzed, deduplicated, and prioritized automatically
Chat Intake
Triage Agent
BUD Generation
BUD Agent
Design
Design Agent
Tech Architecture
Tech Planner
Development
AI + Human
Test Generation
Test Agent
Testing
QA + Test Agent
UAT & Deploy
Status Agent
Feature
BUD → Feature
Learning & Skills
Learning + Skill
External Bug
Reopens Feature
Triage Agent
Chat / Slack Event
Interviews users, checks capacity, finds duplicates, estimates complexity, suggests priority.
Intake interview
Duplicate detection
Priority scoring
Complexity estimation
Our Manifesto
AI-generated first drafts over blank-page paralysis
Cycle time predictions over story points & planning poker
Continuous learning over post-mortems after the damage
Human decisions over human busywork
Living knowledge over stale Confluence pages
BUD as single source of truth over scattered tickets & docs
Skills that grow with the team over static role assignments
Auto-healing quality loops over manual bug triage
Meet the Agents

Twelve specialized agents orchestrate every phase — triggered automatically, connected to each other.

Triage Agent
Chat / Slack Event

Interviews users, checks capacity, finds duplicates, estimates complexity, suggests priority.

Intake interview
Duplicate detection
Priority scoring
Complexity estimation
BUD Agent,Skill Agent
BUD Agent
PM Trigger

Codebase-aware spec generation with enterprise rules, prior art, and competitor analysis.

Codebase context
Enterprise rules
Competitor analysis
Tech spec + tests
Triage Agent,Learning Agent
Design Agent
BUD Approved

Generates visual HTML wireframes using your project's extracted design system.

HTML wireframes
Design system aware
UX considerations
Accessibility
BUD Agent,Tech Plan Agent
Tech Plan Agent
BUD Approved

Generates detailed technical implementation plans with file-level TODOs from approved BUDs.

Architecture analysis
File-level TODOs
Dependency mapping
API contracts
BUD Agent,Design Agent
Status Agent
GitHub Webhook

Detects PR merges, infers status from branches, moves BUD folders, notifies stakeholders.

PR merge detection
Branch status inference
Folder management
Notifications
Learning Agent,Bug Linker Agent
Standup Agent
Daily Cron 08:30

Aggregates git/PR/bug/chat activity into daily summaries with risk flag detection.

Activity aggregation
Risk flags
Lagging BUD alerts
Scope tracking
Status Agent,Bug Linker Agent
Test Plan Agent
Dev Complete

Auto-generates test automation and manual test cases from BUD acceptance criteria and code.

Playwright e2e
Unit/integration tests
Manual UAT cases
Security tests
BUD Agent,Bug Linker Agent
Bug Linker Agent
New Bug Filed

Links bugs to BUDs via vector search, monitors thresholds, triggers reassignment.

Bug-BUD linking
Threshold monitor
Auto-reassign trigger
Classification
Reassignment Agent,Status Agent
Reassignment Agent
Bug Linker Trigger

Reassigns devs to bug review, rotates QA to next BUD, rebalances workloads.

Dev reassignment
QA rotation
Team notification
Workload balance
Bug Linker Agent,Skill Agent
Learning Agent
BUD Deployed

Cycle time analysis, estimate vs actual comparison, pattern matching, retrospective generation.

Cycle time analysis
Estimate accuracy
Pattern matching
Retrospectives
Skill Agent,BUD Agent,Triage Agent
Smart Assignment Agent
Phase Gate Approved

Assigns the best-fit developer based on skill scores, capacity, and module expertise.

Skill matching
Capacity balancing
Module expertise
Workload optimization
Skill Agent,Tech Plan Agent
Skill Agent
Daily Cron 02:00

Rebuilds skill profiles from git/BUD/bug history, scores 0–1.0, detects bus factor risks.

Profile rebuilds
Skill scores
Bus factor alerts
Recommendations
Triage Agent,Learning Agent,Reassignment Agent
AI Handles
Intake analysis & duplicate detection
BUD drafting with codebase context
Design scope & tech plan generation
Test case generation (automation + manual)
Bug-to-BUD linking & threshold monitoring
Status tracking & stakeholder updates
Pattern recognition & retrospectives
Skill profiling & assignment recommendations
Knowledge sync (code → docs → vector DB)
AI-PERT estimation with Monte Carlo confidence intervals
Smart developer assignment based on skills & capacity
Humans Handle
Review and advance decisions at every phase
Code review & architecture choices
Visual design in preferred tools
Business trade-offs & prioritization
Quality validation & UAT sign-off
Reassignment review & override
Knowledge curation & enterprise rules
AI-PERT + Monte Carlo Estimation
Story pointsPlanning poker — replaced by probabilistic, per-phase delivery predictions that improve automatically.

AI generates optimistic, likely, and pessimistic estimates (PERT) for each phase. 10,000 Monte Carlo simulations produce P50/P70/P85 confidence dates. Developer skill profiles, backlog depth, and workload are factored in.

Example Prediction
Feature: Notification Redesign (Complexity: 3/5)
Developer: Alice (backend: 0.92, frontend: 0.35)
Go-live: 70% by Apr 25 | 85% by May 2
PERT Analysis
10K Simulations
Skill-Aware
BUD (Business Understanding Document)

Every feature lives in one BUD — a Business Understanding Document holding the spec, tech spec, test plan, acceptance criteria, and full history. Replaces scattered Jira tickets, Google Docs, and Notion pages.

bud
design
tech_arch
development
testing
uat
prod
closed
Contains spec, tech spec, test plan, acceptance criteria, and metadata
Any stage can return to BUD (e.g., post-deployment bugs)
Bug classification on reopen: "missed feature" vs "development bug"
Full history tracked: stage transitions, assignees, reopens, bugs
Vector-indexed for semantic search by all agents
Smart Quality Loops

Auto-healing bug management that prevents quality debt from accumulating.

Bug Threshold
complexity × multiplier — configurable per org. When exceeded, auto-reassignment triggers.
Auto-Reassignment
Original dev moves to bug review, QA moves to next waiting BUD.
Feature Reopening
External bugs reopen the Feature and restart the flow from triage.
Auto-Classification
Each bug classified as "missed feature" vs "development bug" — drives different fix paths.
Knowledge Capture
Every bug fix adds to the knowledge base — prevents the same bug class from recurring.
Backlog Intelligence

Smart backlog management driven by data, not gut feelings.

Capacity-Aware Triage
Triage Agent deprioritizes or defers items based on real-time team capacity.
Dynamic Reassignment
Reassignment Agent shuffles work based on shifting business demand.
Customer Priority Scoring
ARR + severity + tier drives backlog ordering automatically.
Best-Fit Developer
Skill Agent recommends the best-fit developer for each backlog item.
Real-Time Utilization
Per-developer capacity tracking ensures balanced workloads.
Knowledge That Grows

A 4-layer knowledge architecture that replaces stale wikis with living, auto-synced knowledge.

1
Git Repos
Source code + per-repo CLAUDE.md (syncs every 15 min)
2
Agent Skills
Org standards, design guidelines, API patterns (syncs on change)
3
Central DB
BUDs, enterprise rules, architecture decisions (real-time)
4
Vector Search
Semantic search across everything (auto-indexed)
Why This Beats Confluence
Auto-synced from source — not manually maintained
Semantically searchable — not keyword search
Always current — daily staleness detection
Integrated into agent prompts — agents always have latest context
Dev Skill Maintenance

The Skill Agent rebuilds developer profiles daily — no manual updates, no stale resumes.

Daily Profile Rebuilds
Analyzes git history, BUDassignments, and bug fixes to build skill scores (0–1.0) per module.
Bus Factor Alerts
Detects modules touched by only one person — flags knowledge concentration risk.
Assignment Recommendations
Recommends developers for new BUDs based on expertise match + available capacity.
Evolving Skills
Skills grow automatically as developers contribute — no manual profile updates needed.
Bodhiorchard vs Agile
PhaseAgile / ScrumBodhiorchard
IntakeTicket in Jira, manual triage, sprint planningChat message → Triage Agent analyzes, finds duplicates, estimates capacity
EstimationStory points, planning poker, team debateAI-PERT + Monte Carlo simulation — per-phase dates with P50/P70/P85 confidence, factoring developer skill profiles, backlog depth, and workload
SpecificationPM writes BUD manually, reviews in meetingsBUD Agent drafts spec with codebase context, enterprise rules, prior art
DesignDesigner creates in Figma, hands off specsAI generates wireframes; Designer reviews, edits, and advances to Tech Architecture
Tech ArchArchitect writes design doc, reviews in meetingsAI generates tech plan; Tech Lead reviews; Smart Assignment Agent suggests developer
DevelopmentDev picks up ticket, starts from scratchBest-fit dev assigned by AI, implements from tech plan, human reviews code
TestingQA writes test cases manually, runs regressionAuto-generated test plan (unit, integration, e2e, perf, security, UAT)
QA & UATQA writes test cases, manual handoffQA approves/refines automation plan, executes manual tests, signs off for UAT
DeploymentRelease train, manual status updatesStatus Agent auto-detects PR merges, BUD becomes Feature on deploy
Bug MgmtManual triage, reassign in standupExternal bugs reopen Features, auto-classify and restart flow from triage
KnowledgeConfluence pages go stale, tribal knowledgeLearning Agent captures patterns, knowledge auto-syncs from code
SkillsManager intuition, annual reviewsSkill Agent rebuilds daily from git/BUD/bug history, recommends assignments
RetrospectiveBiweekly meeting, action items forgottenLearning Agent auto-generates retrospective on every deployment
Why "Bodhiorchard"?

"The purpose of technology is not to keep humans chained to screens, but to set them free."

Bodhi (Sanskrit: "awakening, enlightenment") is the state of understanding that the Buddha attained under the Bodhi tree. Orchard is a cultivated grove — trees tended with intention so they can bear fruit.

The software industry has a paradox: we build tools to make life better, but the process of building them consumes our lives. Developers work late nights. PMs spend weekends writing specs. Teams sit through hours of ceremonies — standups, sprint planning, retrospectives, estimation poker — rituals that were meant to help but became the work itself.

Bodhiorchard exists because AI should give humans their time back. Not to write more code. Not to ship faster. But to reclaim the hours lost to busywork — so a developer can leave at 5pm and take their kid to the park. So a PM can spend their morning thinking deeply about what users need instead of copy-pasting tickets. So a team lead can mentor junior engineers instead of chasing status updates across five tools.

The living tree dashboard isn't just a visualization — it's the philosophy made visible. Your organization is an orchard. Each repository is a tree. Each feature is a branch. The AI agents are the orchardists: they water, they prune, they tend the soil. They do the repetitive labor so the trees can grow naturally and bear fruit, and the humans who planted them can step back, breathe, and enjoy the harvest they've built.

The Bodhi tree is where awakening happened — not through more effort, but through stillness and clarity. Bodhiorchard is an invitation to build software the same way: let the machines handle the noise, so humans can focus on what actually matters. Build well. Then go outside.