Factory AI - The Complete Guide to Agent-Native Software Development

Japanese Edition
https://daisuke.masuda.tokyo/article-2025-11-03-0139

This 19-slide presentation explores Factory AI, an agent-native software development platform featuring four specialized Droids (Code, Reliability, Knowledge, and Tutorial) that integrate seamlessly into existing workflows. It examines core technologies including planning and task decomposition, HyperCode understanding, and ByteRank search optimization, distinguishing Factory AI from simple LLM wrappers. The presentation covers basic use cases (automated testing, code review, incident response) and advanced applications (multi-repo transformations, compliance gates, DroidShield security). Practical engineer tips address task granularity, context enrichment, CLI/CI integration, and model strategy. A three-way comparison with Devin AI and GitHub Copilot Workspace helps teams make informed decisions. The Clari case study demonstrates 40% development speed improvement, 60% review time reduction, and 70% technical debt resolution. The presentation concludes with enterprise-grade security (SOC 2 Type II, GDPR, HIPAA), a four-step implementation roadmap, and comprehensive support services.

Transcript

1. Factory AI The Complete Guide to Agent-Native Software Development Next-Generation Development Experience Powered by AI Agents November 2, 2025
2. WHAT IS FACTORY AI A Platform Where AI Agents Support the Entire Development Lifecycle Factory AI is an Agent-Native software development platform that integrates AI agents throughout the entire development lifecycle. Unlike traditional coding assistants, it features specialized AI agents called "Droids" that autonomously handle tasks from coding to testing and documentation. Multi-Interface Support Seamlessly integrate with familiar tools like Terminal, IDE, Slack, and GitHub without changing your existing workflow. Non-Invasive Workflow Continue using your preferred development environment. Factory AI adapts to your workflow, not the other way around. Enterprise-Grade Security SOC 2 Type II certified with comprehensive compliance support for GDPR, CCPA, and HIPAA regulations. No Vendor Lock-in Bring Your Own Key (BYOK) support allows you to use your preferred LLM providers and maintain full control.
3. FOUR SPECIALIZED DROIDS Specialized AI Agents Factory AI features four specialized AI agents called "Droids," each designed to excel in specific development tasks. These Droids collaborate to provide comprehensive support throughout the development lifecycle. Code Droid: Code Generation Expert Specializes in generating high-quality code. Understands project context, coding standards, and architectural patterns to produce production-ready code that seamlessly integrates with existing codebases. Key Capabilities Context-aware code generation Multi-language support (Python, JavaScript, Java, Go, etc.) Adherence to project coding standards Automatic refactoring and optimization Integration with existing architecture Reliability Droid: Quality Assurance Expert Focuses on testing and quality assurance. Automatically generates comprehensive test suites, identifies edge cases, and ensures code reliability through systematic testing strategies. Key Capabilities Automated unit test generation Integration and E2E test creation Edge case identification Test coverage analysis and improvement Regression test maintenance
4. FOUR SPECIALIZED DROIDS - PART 2 Specialized AI Agents (Continued) The remaining two Droids focus on knowledge management and developer education, ensuring that both code and understanding are maintained at the highest level throughout the project lifecycle. Knowledge Droid: Documentation Expert Specializes in creating and maintaining comprehensive documentation. Automatically generates API documentation, README files, and architectural decision records (ADRs) that stay synchronized with code changes. Key Capabilities Automated API documentation generation README and setup guide creation Architecture decision record (ADR) management Code comment generation and maintenance Documentation synchronization with code Tutorial Droid: Learning Support Expert Dedicated to developer education and onboarding. Creates interactive tutorials, explains complex code patterns, and helps new team members quickly understand project architecture and conventions. Key Capabilities Interactive tutorial generation Code explanation and walkthroughs Onboarding guide creation Best practice recommendations Context-aware learning paths These four Droids work in harmony, each contributing their specialized expertise to create a comprehensive AI-powered development environment that enhances productivity while maintaining code quality and knowledge continuity.
5. C OR E T E C H NOLOG Y Four Core Technologies Powering the Droids System Droids are not mere LLM wrappers. They are sophisticated agent systems that integrate advanced technologies from robotics and cognitive science, enabling autonomous and intelligent task execution. Planning / Task Decomposition Droids autonomously break down complex tasks into manageable subtasks. Using hierarchical planning algorithms, they create execution plans that optimize for efficiency and reliability. Hierarchical task decomposition Dependency analysis and sequencing Dynamic replanning based on execution results Tool Integration and Environment Connection Seamless integration with development tools and environments. Droids can execute commands, access APIs, and interact with version control systems, CI/CD pipelines, and issue trackers. Multi-tool orchestration (Git, Docker, npm, etc.) API integration and authentication Environment state management HyperCode: Code Understanding Advanced code comprehension system that builds semantic representations of codebases. HyperCode enables Droids to understand not just syntax, but the intent and architecture behind the code. Abstract syntax tree (AST) analysis Cross-file dependency mapping Semantic code search and navigation ByteRank: Search Optimization Intelligent search and ranking system that helps Droids quickly locate relevant code, documentation, and context. ByteRank uses machine learning to prioritize the most relevant information. Semantic similarity search Context-aware ranking algorithms Incremental index updates
6. B AS IC U S E C AS E S Four Basic Use Cases to Get Started Factory AI can be immediately applied to common development tasks. These four use cases demonstrate how Droids can enhance your daily workflow and improve code quality. Automated Unit Test Generation Reliability Droid analyzes your code and automatically generates comprehensive unit tests with high coverage. It identifies edge cases and creates test scenarios that you might have missed. Automatic test case generation Edge case identification Mock and fixture creation Coverage gap analysis Automated Code Review Code Droid reviews pull requests and provides detailed feedback on code quality, potential bugs, and adherence to coding standards. It suggests improvements and identifies security vulnerabilities. Code quality assessment Bug detection and prevention Security vulnerability scanning Best practice recommendations Incident Response When production issues occur, Droids quickly analyze logs, identify root causes, and suggest fixes. They can even create hotfix PRs automatically, reducing mean time to resolution (MTTR). Log analysis and correlation Root cause identification Automated hotfix generation Post-mortem documentation Documentation Generation Knowledge Droid automatically generates and maintains API documentation, README files, and code comments. Documentation stays synchronized with code changes, eliminating documentation drift. API documentation generation README and setup guides Inline code comments Architecture decision records (ADRs)
7. ADVANC E D U S E C AS E S - PAR T 1 Advanced Use Cases to Accelerate Development Beyond basic tasks, Factory AI excels at complex, time-consuming projects that require deep codebase understanding and systematic execution. These advanced use cases demonstrate the platform's power in handling enterprise-scale challenges. Legacy Code Migration Migrate legacy codebases to modern frameworks and languages. Droids analyze dependencies, refactor code patterns, and ensure functional equivalence through comprehensive testing. Framework migration (e.g., AngularJS to React) Language migration (e.g., Python 2 to 3) Dependency modernization Automated regression testing Internal Tool Development Rapidly build internal tools and automation scripts. Droids understand your infrastructure and can create custom tools that integrate seamlessly with existing systems. CLI tool development Automation script generation Dashboard and monitoring tools Integration with internal APIs Data Science Workflow Automation Automate data processing pipelines and model training workflows. Droids can write data transformation code, create visualizations, and set up MLOps infrastructure. Data pipeline development Feature engineering automation Model training scripts Visualization and reporting Design-to-Code Conversion Convert design mockups and wireframes into production-ready code. Droids analyze design files and generate responsive, accessible UI components that match your design system. Figma/Sketch to code conversion Responsive layout implementation Design system adherence Accessibility compliance
8. ADVANC E D U S E C AS E S - PAR T 2 Advanced Features for Enterprise Operations Factory AI provides advanced features essential for large-scale organizational operations. From managing multiple repositories to ensuring security and compliance, and optimizing system-wide performance, it addresses the challenges of enterprise development. Multi-Repository Batch Changes Automate changes across multiple repositories for API updates or dependency upgrades. Handles everything from identifying impact scope to verifying consistency and testing, preventing propagation errors. Essential for maintaining consistency in microservices architectures. Compliance / Quality Gates Automate static analysis for security and compliance violations with DroidShield. Integrate into CI/CD pipelines for early detection and automated fix suggestions for code that doesn't meet quality standards. Supports SOC 2, GDPR, CCPA, HIPAA, and other regulatory requirements. Performance Optimization Automate everything from system-wide profiling to identifying optimization targets, creating PRs with optimized code, and verifying improvement effects. Suggests data structure efficiency improvements and algorithm enhancements to improve system scalability. DroidShield: Guardian of Security and Compliance DroidShield is Factory AI's protective feature that ensures security and compliance. Through static analysis, it automatically verifies that code meets organizational security policies and compliance requirements. Detailed features and integration points are introduced in the next slide.
9. DROIDSHIELD Automated Security and Compliance Verification System DroidShield is Factory AI's protective feature that ensures security and compliance. Through static analysis, it automatically verifies that code meets organizational security policies and compliance requirements. Key Features Static Code Analysis Analyzes code structure and patterns to identify potential security risks. Detects standard vulnerability patterns such as OWASP Top 10. Vulnerability Scanning Cross-references with known vulnerability databases (CVE, NVD) to detect vulnerabilities in dependencies. Automatically suggests fix patches. License Violation Detection Verifies open-source license compatibility and identifies dependencies that violate organizational license policies. Sensitive Information Leak Prevention Scans for sensitive information such as API keys, passwords, and tokens in code. Issues warnings before commits. Integration Points CI/CD Pipeline Integrates into build processes and functions as quality gates. Blocks deployment of code that doesn't meet standards. Pull Requests Automatically runs scans when PRs are created and notifies reviewers of results. Automatically comments with fix suggestions. Pre-commit Hooks Runs scans before commits in developers' local environments for early issue detection. Provides immediate feedback. Scheduled Scans Periodically scans existing codebases to detect newly discovered vulnerabilities. Generates weekly or monthly reports. Implementation Impact DroidShield implementation has reduced security incident rates by an average of 60% and shortened compliance audit preparation time by 75%. Development teams can continuously deliver secure code without security expert intervention. Supports major regulatory requirements including SOC 2, GDPR, CCPA, and HIPAA, achieving enterprise-grade security.
10. E NG INE E R T IP S - PAR T 1 Best Practices for Effective Utilization To maximize Factory AI's effectiveness, follow these best practices. These tips are based on real-world experiences from engineering teams who have successfully adopted AI agents. Clear Task Definition Define tasks with specific acceptance criteria (AC) and scope. The more precise the task definition, the better the AI agent's output quality. Include expected behavior, edge cases, and constraints. Provide Context Share relevant documentation, architecture diagrams, and coding standards with Droids. Rich context enables better decision-making and code that aligns with project conventions. Gradual Adoption Start with low-risk tasks like test generation and documentation. As confidence builds, progressively delegate more complex tasks. This approach minimizes risk and builds team trust. Thorough Review Always review AI-generated code before merging. Use Factory's native diff viewer and approval workflows. AI augments developers, it doesn't replace human judgment and oversight. Feedback Loop Provide feedback on Droid outputs to improve future results. Factory AI learns from interactions and adapts to your team's preferences and patterns over time. AI Adoption Maturity Curve Organizations typically progress through four stages when adopting AI agents: 1. Experimentation Individual developers try AI tools for simple tasks. Limited organizational impact. 2. Team Adoption Teams establish workflows and best practices. Measurable productivity gains emerge. 3. Standardization Organization-wide standards and governance. AI agents integrated into CI/CD pipelines. 4. Optimization Continuous improvement based on metrics. AI agents handle complex, multi-step workflows autonomously. Most successful organizations reach Stage 3 within 6 months and Stage 4 within 12 months of adoption.
11. E NG INE E R T IP S - PAR T 2 Practical Tips for Maximum Impact Additional best practices to maximize Factory AI's effectiveness. Implementing these tips will enhance productivity and quality across your entire development team. droid CLI + CI Integration Execute the same Droid workflows in both local development and CI/CD environments for consistent results and highly reproducible automation processes. Debugging becomes easier as local execution results match CI/CD outcomes. Guardrail Configuration Whitelist modifiable file ranges and permitted commands to reduce unexpected changes and execution risks while ensuring security. Restrict access to critical files and system commands for safe operations. Effective Review Operations Establish Factory's native diff viewer and approval flows as mandatory processes, ensuring human verification and approval of all AI-generated changes. Maintain appropriate governance without blindly trusting AI output. Task Granularity Optimization Break down tasks into smaller units with clear acceptance criteria (AC) to improve AI agent success rates. More limited scope leads to better context understanding and implementation quality. Focus each task on a single feature. Rich Context Provisioning Share README, architecture documents, architecture decision records (ADRs), and related tickets with Droids to deepen background understanding and facilitate appropriate decision-making. Richer context generates more suitable implementations. Model Strategy Optimization Select optimal LLM models based on task types and develop model operation strategies that balance inference costs and diversity. Use high- performance models for complex tasks and lightweight models for simple tasks. Continuous Evaluation Framework Build internal SWE-bench-style benchmarks (similar to Crucible) to continuously measure and track Droid performance and improvements. Quantitative evaluation visualizes AI agent effectiveness and enables continuous improvement. These tips are derived from insights gained from advanced companies that have adopted Factory AI. We recommend customizing them to your organization's situation and implementing them gradually.
12. AI DEVELOPMENT TOOLS Understanding Strengths and Choosing Based on Use Cases The AI development tools market features three major players: Factory AI, Devin AI, and GitHub Copilot Workspace. Each has a distinct philosophy and approach, making them suitable for different use cases. 3 Major Players Each has unique strengths and competes in the enterprise market. Key selection criteria include compatibility with existing workflows, customizability, and enterprise features. Category Factory AI Devin AI Copilot Workspace Developer Factory (Sequoia-backed) Cognition Labs GitHub (Microsoft) Core Concept Multi-interface Droids Fully autonomous AI engineer Agent-based dev environment Key Strength Flexibility without workflow changes Parallel large-scale refactoring Complete GitHub integration Pricing BYOK free, Pro $20/mo, Max $200/mo Core $20~, Team $500/mo Included in Copilot subscription Environments IDE/CLI/Slack/Web/PM Dedicated IDE, Slack/Linear/Jira Web, GitHub Mobile Customizability High (Custom Droids, Slash Commands) High (Fine-tuning support) Medium (Brainstorm/Plan/Repair agents) Enterprise SSO, audit logs, on-premises Custom Devin, security features Org policy integration Customers Clari, Podium, EY Nubank, Goldman Sachs General GitHub users Factory AI: Maintain existing tools, flexible multi-interface usage Devin AI: Large-scale technical debt resolution, iterative refactoring Copilot Workspace: GitHub-centric development, mobile support (Preview ended)
13. ADVANCED AI TECHNOLOGY Advanced Autonomy Powered by Cutting-Edge Agent Technology Factory AI is a platform that integrates the latest AI technologies including long-term reasoning, infinite context engine, and multi-model support. It achieved 19.27% on SWE-bench Full and 31.67% on Lite, and ranked #1 on TerminalBench, demonstrating technical superiority. Infinite Context Engine Understands codebases with millions of lines of code across files, accurately grasping hidden dependencies and impact scope. Multi-Model Sampling Leverages multiple state-of-the-art LLMs to generate multiple solutions from various models. Selects the optimal solution after validation through testing. Agent Scaffolding Decomposes complex tasks into appropriate subtasks and executes them in parallel. Integrates results to generate consistent deliverables. Continuous Learning Learns coding styles and architectural patterns through project usage, continuously improving output quality. Industry-Leading Benchmark Performance Achieved 19.27% on SWE-bench Full and 31.67% on Lite (pass@1). Demonstrates high performance even on complex tasks and recorded #1 ranking on TerminalBench.
14. CASE STUDY: CLARI 40% Development Speed Improvement Achieved Clari, a revenue operations platform, adopted Factory AI to accelerate development and improve code quality. The results exceeded expectations, with significant improvements across multiple metrics. 40% Development Speed Improvement By automating test generation, code reviews, and documentation, Clari's engineering team achieved a 40% increase in development velocity. Time previously spent on routine tasks is now redirected to feature development and innovation.
15. C AS E S T U DY: C LAR I - C ONT INU E D Multifaceted Impact from Implementation Beyond development speed improvements, Factory AI delivered significant benefits across multiple dimensions of software development operations. 60% Review Time Reduction Automated code reviews and test generation significantly reduced the burden on senior engineers. Code Droid identifies potential issues and suggests improvements before human review, allowing reviewers to focus on architectural decisions and business logic. Average PR review time decreased from 4 hours to 1.6 hours. 70% Technical Debt Resolution Factory AI systematically addressed accumulated technical debt. Automated refactoring, test coverage improvements, and documentation updates transformed legacy code into maintainable, modern implementations. Resolved 200+ long-standing technical debt items in 6 months. 50% Onboarding Time Reduction Tutorial Droid and Knowledge Droid accelerated new engineer onboarding. Interactive tutorials, comprehensive documentation, and code explanations enabled new team members to become productive faster. Time to first meaningful contribution reduced from 4 weeks to 2 weeks. "Factory AI transformed how we work. We're shipping features faster, with higher quality, and our engineers are happier because they spend less time on tedious tasks." - VP of Engineering, Clari
16. S E C U R IT Y & C OM P LIANC E Enterprise-Grade Security and Compliance Factory AI is built with enterprise security and compliance as core priorities. SOC 2 Type II certified with comprehensive support for major regulatory requirements. Data Protection Encryption End-to-end encryption for data in transit (TLS 1.3) and at rest (AES-256). All code and sensitive information is encrypted throughout the entire lifecycle. Data Residency Choose data storage locations to comply with regional regulations. Supports US, EU, and Asia- Pacific regions. BYOK Support Bring Your Own Key (BYOK) allows you to use your preferred LLM providers while maintaining full control over API keys and data. Compliance Support SOC 2 Type II Certified for security, availability, processing integrity, confidentiality, and privacy. Annual audits ensure continuous compliance. GDPR & CCPA Full compliance with data privacy regulations. Supports data subject access requests (DSAR) and right to deletion. HIPAA Ready Supports HIPAA compliance requirements for healthcare organizations. Business Associate Agreements (BAA) available. Enterprise Features SSO & SAML Single Sign-On (SSO) integration with major identity providers (Okta, Azure AD, Google Workspace). SAML 2.0 support. Audit Logs Comprehensive audit logging of all user actions, API calls, and system events. Exportable for security analysis and compliance reporting. On-Premises Self-hosted deployment option for organizations with strict data sovereignty requirements. Full feature parity with cloud version.
17. IMPLEMENTATION & SUPPORT Four Steps to Smooth Implementation Factory AI provides a structured implementation process to ensure successful adoption. Our customer success team guides you through each step, from initial evaluation to organization-wide deployment. 01 Evaluation and Trial Start with a free trial or BYOK plan. Explore features with a small team and identify high-impact use cases for your organization. No commitment required during this phase. Duration: 1-2 weeks 02 Pilot Deployment Deploy to a single team or project. Establish workflows, measure impact, and gather feedback. Refine configurations based on real-world usage patterns. Duration: 2-4 weeks 03 Gradual Rollout Expand to additional teams based on pilot learnings. Customize Droids and workflows for different use cases. Train champions within each team to drive adoption. Duration: 1-3 months 04 Optimization and Expansion Optimize based on usage data and feedback. Integrate with CI/CD pipelines and expand to organization-wide deployment. Continuously measure ROI and refine strategies. Duration: Ongoing
18. IMPLEMENTATION & SUPPORT - CONTINUED Comprehensive Support System Factory AI provides comprehensive support to ensure your success at every stage of the implementation journey. Support Services Dedicated Customer Success Manager: Assigned to Enterprise customers for personalized guidance and strategic planning Technical Onboarding: Hands-on training sessions and workshops tailored to your team's needs and use cases 24/7 Support: Available for Enterprise customers with SLA guarantees and priority response times Community & Documentation: Extensive documentation, video tutorials, and active community forum for peer support Regular Check-ins: Quarterly business reviews to optimize usage, measure ROI, and identify new opportunities Implementation Timeline Average time to full organizational deployment: 3-6 months ROI typically achieved within the first quarter of deployment, with continued improvements as adoption matures.
19. CONCLUSION Toward the Future of Agent-Native Development Factory AI represents a paradigm shift in software development. By integrating AI agents throughout the development lifecycle, it delivers transformative benefits across speed, quality, and developer experience. Revolutionary Development Speed 40% faster development velocity through automation of routine tasks. Engineers focus on innovation and problem-solving rather than repetitive work. Quality Improvement Automated testing, code reviews, and security scanning ensure consistently high code quality. Technical debt is systematically addressed and prevented. Engineer Happiness Engineers spend less time on tedious tasks and more time on creative, fulfilling work. Improved work-life balance and job satisfaction. Next Steps 1. Start Free Trial: Explore Factory AI with your team at no cost 2. Identify Use Cases: Find high-impact opportunities in your workflow 3. Run Pilot: Deploy to a single team and measure results 4. Scale Up: Expand to organization-wide deployment Ready to Transform Your Development? Visit factory.ai to get started Join leading companies like Clari, Podium, and EY in embracing Agent-Native development