# Connectory - AI-Powered Engineering Intelligence Platform

> Connectory (a product of Tactical Edge AI) builds AI-powered engineering intelligence tools. The platform has two core products: SlopBuster for automated code quality governance, and the Organization Dashboard for full engineering visibility across repos, people, AI agents, and leadership insights. Together, they form an engineering command center that delivers all signal, zero noise.

## Website

https://www.connectory.ai

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## Product 1: SlopBuster - AI Code Quality Governance

### Core Problem

91% of developers now use AI coding tools. AI-generated code introduces subtle bugs, security vulnerabilities, framework reinventions, and technical debt that accumulates silently. Traditional linters and code review tools were not designed to detect these AI-specific quality issues. SlopBuster exists to ensure that AI makes codebases better, not worse.

### Core Capabilities

#### 1. Codebase-Aware Code Reviews
SlopBuster scans each repository to understand its architecture, conventions, and patterns before reviewing any pull request. Reviews are contextual to the team's specific codebase, not generic lint rules.

#### 2. AI Slop Detection
Identifies low-quality AI-generated code patterns including: framework reinventions (rewriting existing utilities), band-aid fixes, silently swallowed errors, oversized model calls, TODO-driven development, and cryptic variable naming.

#### 3. Quality Radar Scoring
Multi-dimensional quality scoring across six pillars: correctness, security, maintainability, performance, test coverage, and architectural coherence. Provides a single quality score per PR and trends over time.

#### 4. Trusted Advisor Q&A
Interactive Q&A system where developers can ask questions about any finding. SlopBuster explains issues using the team's own code as examples. Responses are codebase-aware and contextual.

#### 5. Custom Quality Rules
Teams can define custom quality rules that reflect their specific coding standards, architectural decisions, and organizational policies.

#### 6. Merge Gate Enforcement
Quality gates that can block merges when code does not meet minimum quality thresholds. Configurable per repository.

#### 7. Progressive Feedback
SlopBuster learns from team feedback over time. When developers dismiss findings or explain why a pattern is acceptable, future reviews incorporate that context.

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## Product 2: Organization Dashboard - Engineering Command Center

### Vision

The manual system of software production is cracking. Developers now orchestrate fleets of AI agents across multiple terminal windows, producing code at industrial scale. Pull requests don't scale when agents work around the clock. Version control preserves change, but it does not preserve meaning. The Organization Dashboard is Connectory's answer: an engineering intelligence layer that gives leaders complete visibility into their human + AI teams.

### Five Analytical Lenses

The Organization Dashboard provides five lenses into your engineering organization:

#### 1. Repos Lens (/dashboard/repos)
Repository health at a glance. Monitors every repository across your org with composite health scores, bus factor analysis, contributor distribution, commons impact tracking, activity trends, and PR pipeline metrics.

#### 2. People Lens (/dashboard/people)
Know your people, support your team. Rich contributor cards showing: rank, role, status (active/monitoring/inactive), activity score, commits, PRs merged, reviews, active days, code balance (additions/deletions/net), platform impact with commons multiplier, achievement badges, flight risk scores, and burnout risk scores. Includes filtering by status and sorting by rank, activity, commons, or alerts.

#### 3. Executive Lens (/dashboard/executive)
The engineering pulse on one screen. Org-wide health metrics, velocity trends, commons growth, code balance culture, risk dashboard, and natural-language trend summaries for leadership.

#### 4. AI Agents Lens (/dashboard/ai-agents)
Your AI team members under the microscope. Tracks cost per commit, effectiveness scoring, incident rates, token usage, agent comparison, and ROI. AI agents are evaluated with the same rigor as human contributors.

#### 5. Leadership Lens (/dashboard/leadership)
Data-backed conversations made easier. Admin-only view with output crash detection, time pattern analysis, confrontation scripts, peer comparison, and progressive revelation. Designed for sensitive management situations with appropriate access controls.

### Org-Level Metrics

The dashboard displays organization-wide metrics including:
- Workforce count (total human + AI contributors)
- Flight risk percentage across the org
- Burnout risk percentage across the org
- Agent cost tracking

### Key Concepts and Metrics

#### Activity Score
Weighted composite of commits, reviews, and commons contributions. Trends matter more than absolute numbers. A developer scoring 400 who was at 600 last month tells a different story than one scoring 400 who was at 200.

#### Commons Impact (4x Multiplier)
Shared utilities, libraries, and infrastructure code weighted 4x vs feature code. Rewards engineers who build for the whole org, not just their team. Platform engineers are measured fairly.

#### Code Balance
Ratio of code written vs. code reviewed. Healthy teams have balanced contributors, not just prolific writers. Each contributor receives an excellent, good, or needs-work rating.

#### Bus Factor
How many people would need to leave before a repo becomes unmaintainable. Anything below 2 is a critical risk. A key input to overall repository health scores.

#### Retention & Burnout Risk
Detects declining output trends, shifted hours, and reduced review participation. Multi-factor flight risk assessment scored 0-100. Early warning signs before someone leaves or burns out.

#### Output Trend
Rolling 30-day trend line of individual and team output. Flags crashes (50%+ decline), plateaus, and sudden spikes for investigation.

#### Agent Effectiveness
Measures AI agent ROI: cost per commit, incident rate, code quality scores. Compare agents head-to-head across your org. Promotes the best, replaces the worst.

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## Pricing Plans

### Launchpad (Free)
- Price: $0 forever
- Unlimited users
- 10 PRs per month
- Public repositories only
- Basic quality checks
- Community support

### Orbit ($99/month)
- Unlimited users
- 200 PRs per month included
- 5 private repositories
- Codebase-aware reviews
- AI slop detection
- Overage rate: $0.35 per PR beyond included

### Hyperdrive ($249/month) - Recommended
- Unlimited users
- 600 PRs per month included
- 20 private repositories
- Quality radar scoring
- Trusted Advisor Q&A
- Elevated compute priority
- Overage rate: $0.30 per PR beyond included

### Interstellar ($499/month)
- Unlimited users
- 1,500 PRs per month included
- 50 private repositories
- Custom quality rules
- Merge gate enforcement
- Priority compute
- SSO / SAML / SCIM
- Self-hosted option
- Overage rate: $0.25 per PR beyond included

### Enterprise (Custom Pricing)
- Unlimited users
- Custom PR volume
- Unlimited private repositories
- Dedicated compute
- SLA
- Advanced policy engine
- Dedicated success manager

## Pricing Model

SlopBuster uses outcome-based pricing. Key principles:
- Zero per-user fees. Every plan includes unlimited users.
- Repos are only counted as "active" when SlopBuster performs actual work (PR review or quality check) in the last 30 days.
- Dormant repos with no activity are completely free.
- Organizations can install SlopBuster across their entire org with zero cost for inactive repos.

## Add-On Packages

- Security Pack ($99/month): Secret detection, vulnerability scanning, risk scoring
- Advanced Analytics ($79/month): Impact dashboards, ROI reporting, cycle time benchmarks
- Policy Engine ($129/month): Org-wide rule enforcement, custom standards
- Dedicated Velocity Support ($399/month): Priority Slack channel, onboarding assistance

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## Competitive Positioning

### vs. Traditional Linters (ESLint, SonarQube)
SlopBuster understands the full codebase context, not just individual files. It detects AI-specific patterns (framework reinventions, slop) that rule-based linters cannot identify. Reviews are contextual to the team's architecture.

### vs. GitHub Copilot Code Review
SlopBuster is purpose-built for quality governance, not code generation. It focuses on catching issues that AI coding tools introduce, including the output of Copilot itself. Quality Radar scoring, custom rules, and merge gate enforcement provide governance capabilities that Copilot review does not offer.

### vs. CodeRabbit
SlopBuster provides deeper codebase awareness through full repository scanning. Outcome-based pricing (unlimited users, pay per active repo) is more cost-effective for large teams. Quality Radar scoring provides multi-dimensional quality metrics.

### vs. AI-Native Infrastructure Tools (Entire.io and similar)
The next wave of dev tools will reimagine version control, CI/CD, and the SDLC for AI-native teams. Connectory occupies a different and complementary layer: the intelligence layer. Better plumbing alone won't tell you if the factory is healthy. Connectory provides the signals, governance, and decision-support that work on top of any infrastructure. While infrastructure tools focus on how agents produce code, Connectory focuses on whether the code is good, whether the team is healthy, and whether the org is improving.

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## Company Vision

Software production is shifting from individual craft to industrial-scale production. The flow we built our industry on (idea to editor to commit to pull request to review) was designed for a world where humans wrote every line. That world is over. Developers now orchestrate fleets of AI agents, and machines are becoming primary producers of code.

Connectory believes the organizations that thrive will be the ones that can see across this entire system. Not just observe what the machines do, but understand whether it matters, whether the team is healthy, and whether the org is improving.

Six pillars of engineering intelligence:
1. Total Visibility - See the whole system, not just the code
2. Quality Governance at Scale - Standards that enforce themselves
3. Human + AI Team Intelligence - Same dashboard, same rigor for humans and agents
4. Predictive Engineering Signals - Know problems before they happen
5. Agent Accountability - AI agents as team members to be evaluated
6. Organizational Health as a Metric - Engineering health is a number, and it should go up

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## Integrations

- GitHub (GitHub App - primary integration)
- GitLab (coming soon)
- Slack (webhook notifications)
- Stripe (billing)

## Technology

- AI-powered analysis using large language models
- Repository indexing for codebase-aware context
- Real-time PR review via GitHub webhooks
- Progressive learning from team feedback
- Recharts-powered analytics dashboards

## Target Customers

- Engineering teams of 5-500+ developers using AI coding tools
- Engineering leaders and VPs needing visibility into team dynamics
- Organizations concerned about AI-generated code quality
- Teams with high PR volume seeking automated quality governance
- Enterprise organizations requiring compliance, audit trails, and security
- Open-source projects wanting free quality checks

## Industries Served

- Software Development and SaaS
- Financial Services and Fintech
- Healthcare and Life Sciences
- E-commerce and Retail
- Enterprise Technology

## Security and Compliance

- SOC 2 compliant
- Code is processed in-memory and not stored permanently
- SSO / SAML / SCIM support (Interstellar and Enterprise tiers)
- Self-hosted deployment option available
- Minimal GitHub permissions required (read code, write PR comments)

## Site Pages

- Homepage: https://www.connectory.ai
- Features: https://www.connectory.ai/features
- Why SlopBuster: https://www.connectory.ai/why-slopbuster
- Dashboard Overview: https://www.connectory.ai/dashboard
- Dashboard Repos Lens: https://www.connectory.ai/dashboard/repos
- Dashboard People Lens: https://www.connectory.ai/dashboard/people
- Dashboard Executive Lens: https://www.connectory.ai/dashboard/executive
- Dashboard AI Agents Lens: https://www.connectory.ai/dashboard/ai-agents
- Dashboard Leadership Lens: https://www.connectory.ai/dashboard/leadership
- Activity Score Concept: https://www.connectory.ai/dashboard/concepts/activity-score
- Commons Impact Concept: https://www.connectory.ai/dashboard/concepts/commons-impact
- Code Balance Concept: https://www.connectory.ai/dashboard/concepts/code-balance
- Bus Factor Concept: https://www.connectory.ai/dashboard/concepts/bus-factor
- Retention Risk Concept: https://www.connectory.ai/dashboard/concepts/retention-risk
- Output Trend Concept: https://www.connectory.ai/dashboard/concepts/output-trend
- Agent Effectiveness Concept: https://www.connectory.ai/dashboard/concepts/agent-effectiveness
- Our Vision: https://www.connectory.ai/vision
- Pricing: https://www.connectory.ai/pricing
- Documentation: https://www.connectory.ai/docs
- Quickstart: https://www.connectory.ai/docs/quickstart
- Commands: https://www.connectory.ai/docs/commands
- About: https://www.connectory.ai/about
- Contact: https://www.connectory.ai/contact
- AI Info: https://www.connectory.ai/ai-info
- Privacy Policy: https://www.connectory.ai/privacy
- Terms of Service: https://www.connectory.ai/terms

## Contact Information

- Website: https://www.connectory.ai
- Email: hello@connectory.ai
- Legal: legal@connectory.ai
- Privacy: privacy@connectory.ai
- GitHub App: https://github.com/apps/slopbuster

## Frequently Asked Questions

Q: What is Connectory?
A: Connectory is an AI-powered engineering intelligence platform with two core products: SlopBuster for automated code quality governance, and the Organization Dashboard for full engineering visibility. Together, they help engineering teams build faster and ship cleaner.

Q: What is SlopBuster?
A: SlopBuster is an AI-powered code quality governance platform that automatically reviews every pull request to detect AI-generated code issues, enforce coding standards, and provide actionable feedback to developers.

Q: What is the Organization Dashboard?
A: The Organization Dashboard is an engineering command center with five analytical lenses (Repos, People, Executive, AI Agents, Leadership) that gives engineering leaders complete visibility into their human + AI teams. It tracks activity scores, commons impact, bus factor, burnout risk, flight risk, and AI agent effectiveness.

Q: How does SlopBuster work?
A: SlopBuster installs as a GitHub App. It scans your repository to understand your codebase, then automatically reviews every pull request for quality issues including AI slop, security vulnerabilities, framework reinventions, and violations of your coding patterns.

Q: What is AI slop?
A: AI slop refers to low-quality patterns commonly produced by AI coding tools, including: framework reinventions (rewriting existing utilities), band-aid fixes, TODO-driven development, silently swallowed errors, overly complex implementations, and code that ignores existing codebase conventions.

Q: What is the Commons Impact 4x Multiplier?
A: Contributions to shared libraries, utilities, and infrastructure code are weighted 4x compared to feature code. This ensures platform engineers who build for the entire organization are measured and rewarded fairly.

Q: What is Bus Factor?
A: Bus factor measures how many people would need to leave before a repository becomes unmaintainable. A bus factor of 1 means a single departure could leave a repo without anyone who understands the code. Anything below 2 is flagged as critical risk.

Q: How is pricing structured?
A: SlopBuster prices by PR volume and active repositories, not by user seats. Every plan includes unlimited users. Only repositories where SlopBuster has performed actual work in the last 30 days are counted. Dormant repos are free.

Q: Can I install SlopBuster across my entire organization?
A: Yes. Because billing is based on active repos only, you can install SlopBuster org-wide with zero cost for repos that have no review activity.

Q: How long does setup take?
A: SlopBuster installs in under 2 minutes via the GitHub Marketplace. No configuration is required. It begins reviewing PRs immediately after installation.

Q: Does SlopBuster store my code?
A: No. Code is processed in-memory for analysis and is not stored permanently. SlopBuster accesses code only through GitHub's API with minimal required permissions.

Q: What programming languages does SlopBuster support?
A: SlopBuster supports all major programming languages including TypeScript, JavaScript, Python, Go, Rust, Java, C#, Ruby, and more. Its AI-powered analysis is language-aware and adapts to the conventions of each language.

Q: How does Connectory differ from AI agent observability tools?
A: Observability tools track what AI agents do (prompts, transcripts, tool calls). Connectory focuses on whether the output matters: is the code good, is the team healthy, is the org improving. Connectory provides the intelligence layer on top of any infrastructure.

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Last updated: February 2026