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Welcome to AngenAI AngenAI revolutionizes software development by automating up to 80% of your coding process. This powerful AI assistant integrates seamlessly with your existing codebase, respects your company’s standards, and enables your team to focus on creativity and problem-solving rather than repetitive coding tasks. Whether you’re building a new feature, implementing a complex algorithm, or creating a UI component, AngenAI helps you complete these tasks faster and with greater consistency. Available for both Mac and Windows platforms, as well as through a web interface, AngenAI transforms software development into a more efficient, factory-like process. Getting Started with AngenAI Setting Up Your Account Getting started with AngenAI is quick and straightforward: Create an account: Visit the signup page from the AngenAI app or website Enter your email address and create a strong password Alternatively, click “Continue with Google” to use your Google account If you already have an account, click “Log in” to access your existing profile Installation and First Launch AngenAI is available for multiple platforms to suit your development environment: Download the right version: Visit angen.ai and click “Download” Choose your platform (macOS or Windows) Run the installer and follow the guided setup process Launch AngenAI after installation completes The web version is also available for teams who prefer browser-based access. Initial Configuration When you first launch AngenAI, you’ll be guided through a setup wizard: Create your organization: This is the top-level entity that will contain all your projects and team members Set up your first project: Create a project to organize your work Connect your code repository: Link to your local code repository to help AngenAI understand your codebase Complete the setup: Follow the step indicators to finish the initial configuration After completing the initial setup wizard, you’ll be taken directly to the work item editor where you can start creating your first AI-assisted task. Solving Your First Task with AI Creating a Work Item Work items are the heart of AngenAI — they represent tasks that you want the AI to help you complete: Navigate to the Work Items section from the main sidebar Click the + button or “Create New Item” button You’ll be presented with a task description field where you can explain what you need Creating a work item is like briefing a junior developer about a task, but with AngenAI, the implementation happens in minutes rather than hours or days. Writing Effective Task Descriptions Write task descriptions as you would for human colleagues – clear, concise, and focused on what needs to be accomplished: Be specific about requirements: “Create a login form that validates email format and requires passwords with at least 8 characters” clearly communicates expectations Describe the desired outcome: Focus on what the solution should accomplish rather than implementation details Provide relevant business context: Explain why the task is needed and how it fits into the larger system Use natural language: No need for special formatting or technical jargon beyond what you’d use with colleagues Remember that technical frameworks, coding patterns, and architectural approaches are better defined through the Knowledge Base and Personalities, then selected in the Context panel. The task description should focus on communicating what needs to be built, not necessarily how to build it. Understanding the Context Panel The Context panel is your control center for guiding the AI: Use it to select which source files AngenAI should consider when generating code Include key files that demonstrate your coding patterns and architecture The panel shows your project’s folder structure, allowing you to check files that should influence the AI’s solution The Context panel helps you control which source files and knowledge AI is accessing to produce solutions for you. Reviewing and Applying AI Solutions After submitting your task, AngenAI will generate a solution based on your description and selected context: Review the proposed solution in the code display area Read the AI’s explanations about its approach Use the History panel to compare different solutions if you’ve made multiple attempts If satisfied, apply the changes to your codebase; if not, refine your task description or adjust the context Remember that you can iteratively improve the solution by providing feedback and additional information to the AI. Improving AI Performance Building Your Knowledge Base The Knowledge Base is where you store documentation and guidelines that help AngenAI understand your standards and requirements: Navigate to the Knowledge Base section from the sidebar Click Create New Item to add new documentation Add your company’s coding standards, architecture guidelines, or project-specific requirements Organize knowledge by organization or project to keep it relevant A well-maintained Knowledge Base helps AngenAI produce code that feels like it was written by a member of your team who understands your standards. Include information about: Coding conventions (naming, formatting, patterns) Architectural guidelines and best practices Tech stack documentation and usage examples Common solutions to recurring problems Customizing AI Personalities Personalities allow you to influence how AI generates solutions across various domains: Go to the Personalities section in the sidebar Browse existing personalities or create a new one based on your preferences Select a personality that matches your needs or project requirements Apply personalities to specific tasks to get solutions that match your desired approach Think of personalities as configuring the AI’s style and approach. Depending on the personality type, they can determine aspects like: Code formatting and architecture preferences Product management and requirement approaches Documentation and communication styles Problem-solving methodologies and solution patterns Architectural decision-making frameworks Personalities can be tailored for different roles in the development process, from technical implementation to project management and architectural design. Optimizing Context Selection Context selection is crucial for getting the most relevant code from AngenAI: Include architectural files that define your project’s structure Add similar components or implementations that you want the new code to match Limit context to relevant files – too much irrelevant context can confuse the AI Include interface definitions and models that the new code will interact with Good context selection helps AngenAI understand your project’s architecture and

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Welcome to AngenAI AngenAI revolutionizes software development by automating up to 80% of your coding process. This powerful AI assistant integrates seamlessly with your existing codebase, respects your company’s standards, and enables your team to focus on creativity and problem-solving rather than repetitive coding tasks. Whether you’re building a new feature, implementing a complex algorithm, or creating a UI component, AngenAI helps you complete these tasks faster and with greater consistency. Available for both Mac and Windows platforms, as well as through a web interface, AngenAI transforms software development into a more efficient, factory-like process. Getting Started with AngenAI Setting Up Your Account Getting started with AngenAI is quick and straightforward: Create an account: Visit the signup page from the AngenAI app or website Enter your email address and create a strong password Alternatively, click “Continue with Google” to use your Google account If you already have an account, click “Log in” to access your existing profile Installation and First Launch AngenAI is available for multiple platforms to suit your development environment: Download the right version: Visit angen.ai and click “Download” Choose your platform (macOS or Windows) Run the installer and follow the guided setup process Launch AngenAI after installation completes The web version is also available for teams who prefer browser-based access. Initial Configuration When you first launch AngenAI, you’ll be guided through a setup wizard: Create your organization: This is the top-level entity that will contain all your projects and team members Set up your first project: Create a project to organize your work Connect your code repository: Link to your local code repository to help AngenAI understand your codebase Complete the setup: Follow the step indicators to finish the initial configuration After completing the initial setup wizard, you’ll be taken directly to the work item editor where you can start creating your first AI-assisted task. Solving Your First Task with AI Creating a Work Item Work items are the heart of AngenAI — they represent tasks that you want the AI to help you complete: Navigate to the Work Items section from the main sidebar Click the + button or “Create New Item” button You’ll be presented with a task description field where you can explain what you need Creating a work item is like briefing a junior developer about a task, but with AngenAI, the implementation happens in minutes rather than hours or days. Writing Effective Task Descriptions Write task descriptions as you would for human colleagues – clear, concise, and focused on what needs to be accomplished: Be specific about requirements: “Create a login form that validates email format and requires passwords with at least 8 characters” clearly communicates expectations Describe the desired outcome: Focus on what the solution should accomplish rather than implementation details Provide relevant business context: Explain why the task is needed and how it fits into the larger system Use natural language: No need for special formatting or technical jargon beyond what you’d use with colleagues Remember that technical frameworks, coding patterns, and architectural approaches are better defined through the Knowledge Base and Personalities, then selected in the Context panel. The task description should focus on communicating what needs to be built, not necessarily how to build it. Understanding the Context Panel The Context panel is your control center for guiding the AI: Use it to select which source files AngenAI should consider when generating code Include key files that demonstrate your coding patterns and architecture The panel shows your project’s folder structure, allowing you to check files that should influence the AI’s solution The Context panel helps you control which source files and knowledge AI is accessing to produce solutions for you. Reviewing and Applying AI Solutions After submitting your task, AngenAI will generate a solution based on your description and selected context: Review the proposed solution in the code display area Read the AI’s explanations about its approach Use the History panel to compare different solutions if you’ve made multiple attempts If satisfied, apply the changes to your codebase; if not, refine your task description or adjust the context Remember that you can iteratively improve the solution by providing feedback and additional information to the AI. Improving AI Performance Building Your Knowledge Base The Knowledge Base is where you store documentation and guidelines that help AngenAI understand your standards and requirements: Navigate to the Knowledge Base section from the sidebar Click Create New Item to add new documentation Add your company’s coding standards, architecture guidelines, or project-specific requirements Organize knowledge by organization or project to keep it relevant A well-maintained Knowledge Base helps AngenAI produce code that feels like it was written by a member of your team who understands your standards. Include information about: Coding conventions (naming, formatting, patterns) Architectural guidelines and best practices Tech stack documentation and usage examples Common solutions to recurring problems Customizing AI Personalities Personalities allow you to influence how AI generates solutions across various domains: Go to the Personalities section in the sidebar Browse existing personalities or create a new one based on your preferences Select a personality that matches your needs or project requirements Apply personalities to specific tasks to get solutions that match your desired approach Think of personalities as configuring the AI’s style and approach. Depending on the personality type, they can determine aspects like: Code formatting and architecture preferences Product management and requirement approaches Documentation and communication styles Problem-solving methodologies and solution patterns Architectural decision-making frameworks Personalities can be tailored for different roles in the development process, from technical implementation to project management and architectural design. Optimizing Context Selection Context selection is crucial for getting the most relevant code from AngenAI: Include architectural files that define your project’s structure Add similar components or implementations that you want the new code to match Limit context to relevant files – too much irrelevant context can confuse the AI Include interface definitions and models that the new code will interact with Good context selection helps AngenAI understand your project’s architecture and

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Welcome to AngenAI AngenAI revolutionizes software development by automating up to 80% of your coding process. This powerful AI assistant integrates seamlessly with your existing codebase, respects your company’s standards, and enables your team to focus on creativity and problem-solving rather than repetitive coding tasks. Whether you’re building a new feature, implementing a complex algorithm, or creating a UI component, AngenAI helps you complete these tasks faster and with greater consistency. Available for both Mac and Windows platforms, as well as through a web interface, AngenAI transforms software development into a more efficient, factory-like process. Getting Started with AngenAI Setting Up Your Account Getting started with AngenAI is quick and straightforward: Installation and First Launch AngenAI is available for multiple platforms to suit your development environment: The web version is also available for teams who prefer browser-based access. Initial Configuration When you first launch AngenAI, you’ll be guided through a setup wizard: After completing the initial setup wizard, you’ll be taken directly to the work item editor where you can start creating your first AI-assisted task. Solving Your First Task with AI Creating a Work Item Work items are the heart of AngenAI — they represent tasks that you want the AI to help you complete: Creating a work item is like briefing a junior developer about a task, but with AngenAI, the implementation happens in minutes rather than hours or days. Writing Effective Task Descriptions Write task descriptions as you would for human colleagues – clear, concise, and focused on what needs to be accomplished: Remember that technical frameworks, coding patterns, and architectural approaches are better defined through the Knowledge Base and Personalities, then selected in the Context panel. The task description should focus on communicating what needs to be built, not necessarily how to build it. Understanding the Context Panel The Context panel is your control center for guiding the AI: The Context panel helps you control which source files and knowledge AI is accessing to produce solutions for you. Reviewing and Applying AI Solutions After submitting your task, AngenAI will generate a solution based on your description and selected context: Remember that you can iteratively improve the solution by providing feedback and additional information to the AI. Improving AI Performance Building Your Knowledge Base The Knowledge Base is where you store documentation and guidelines that help AngenAI understand your standards and requirements: A well-maintained Knowledge Base helps AngenAI produce code that feels like it was written by a member of your team who understands your standards. Include information about: Customizing AI Personalities Personalities allow you to influence how AI generates solutions across various domains: Think of personalities as configuring the AI’s style and approach. Depending on the personality type, they can determine aspects like: Personalities can be tailored for different roles in the development process, from technical implementation to project management and architectural design. Optimizing Context Selection Context selection is crucial for getting the most relevant code from AngenAI: Good context selection helps AngenAI understand your project’s architecture and patterns, leading to code that integrates seamlessly with your existing codebase. Managing Projects and Organizations Creating and Structuring Projects Projects in AngenAI help you organize your work and connect to different repositories: Projects can be customized for different purposes: Setting Up Organizations Organizations are the top-level structure in AngenAI that contain all your projects and team members: Organizations help ensure consistency across multiple projects and facilitate team collaboration. Team Collaboration AngenAI is designed for seamless team collaboration: Effective team use of AngenAI leads to more consistent codebases and significant productivity gains across your organization. Conclusion AngenAI transforms software development from a manual process into a more automated, factory-like workflow. By leveraging AI to handle repetitive coding tasks, your team can focus on solving complex problems, designing better architectures, and delivering value faster. Start with simple tasks to get familiar with the platform, then gradually increase complexity as you build your knowledge base and optimize your context selection approach. Remember that the quality of AI-generated code improves with better inputs from you – clear task descriptions, relevant context, and well-defined standards. For additional support, visit angen.ai or contact our support team at support@angen.ai.

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AngenAI User Guide: Automate Your Software Development

Table of Contents Welcome to AngenAI AngenAI revolutionizes software development by automating up to 80% of your coding process. This powerful AI assistant integrates seamlessly with your existing codebase, respects your company’s standards, and enables your team to focus on creativity and problem-solving rather than repetitive coding tasks. Whether you’re building a new feature, implementing a complex algorithm, or creating a UI component, AngenAI helps you complete these tasks faster and with greater consistency. Available for both Mac and Windows platforms, as well as through a web interface, AngenAI transforms software development into a more efficient, factory-like process. Getting Started with AngenAI Getting started with AngenAI is straightforward: When you first launch AngenAI, you’ll go through an onboarding wizard that helps you: After completing the wizard, you’ll be taken directly to the Work Item Workbench, where you can start working on your first task. Solving Your First Task with the Work Item Workbench The Work Item Workbench is the core interface where you interact with AngenAI. It consists of several key sections: Central Area At the center of the screen, you can write and edit your task description. Here you can also select which LLM you’ll be using (Claude or OpenAI) and choose a personality for the task. Context Panel (Left Side) This panel allows you to define the context for your task by selecting: History Panel (Right Side) The history panel shows previous iterations of your task, allowing you to revert to earlier stages if needed. Creating and Processing a Task The workflow for using AngenAI is simple: 1.  Write your task description in the central area, describing what you need as you would to a colleague 2. Click the arrow button to submit your task and start the generation process 3. Review the generated solution: 4. Apply or refine the solution: Using the History Panel The History panel is valuable when you go through multiple iterations: Improving AI Performance with Knowledge Base and Personalities To enhance the quality of code generation, AngenAI provides two powerful customization features: Knowledge Base The Knowledge Base is where you store relevant information for reference during code generation: Adding comprehensive documentation to your Knowledge Base ensures that generated code adheres to your established practices and standards. Personalities Personalities in AngenAI allow you to tune how AI agents approach different types of tasks: Personalities aren’t limited to code generation. You can use them to: By combining a well-maintained Knowledge Base with appropriate Personalities, you can significantly improve the relevance and quality of AI-generated solutions across the entire software development lifecycle. Managing Projects and Organizations Projects Configuration Projects in AngenAI help you organize your work with specific settings: Create a new project by providing: The source folder path is crucial as it defines where AngenAI will look for your existing files when you select context in the Work Item Workbench. Organizations Management Organizations are the top-level structure in AngenAI: 1. You can create one or more organizations 2. Through Organization Management, you can control access to your organization by: 3. In Settings, you can view any invitations you’ve received to join other organizations   Navigation and Quick Access AngenAI provides several navigation options for efficient workflow: 1. Switch between organizations and projects using the dropdown menu in the top-left corner 2. Access your account options including sign out from the icon in the top bar 3. Use the plus button in the top bar for quick creation of new work items without navigating to the Work Items section first Conclusion AngenAI transforms software development by automating repetitive coding tasks while maintaining your standards and coding practices. By effectively using the Work Item Workbench, Knowledge Base, and Personalities, you can significantly increase your development speed and maintain consistency across your projects. The platform is designed to be intuitive, following a natural workflow from task description to code generation and refinement. As you use AngenAI more, you’ll discover how it can be integrated into your development process to maximize efficiency and creativity.

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The Quiet Revolution: How AI is Redefining Software Development

The Quiet Revolution: How AI is Redefining Software Development Table of Contents Throughout history, progress has often been met with resistance. From the Luddites destroying mechanical looms to modern taxi drivers protesting ride-sharing apps, innovation disrupts established norms. Today, we’re witnessing a similar transformation in software development—a field that, ironically, has been instrumental in disrupting countless other industries while remaining somewhat resistant to its own evolution. Beyond the Art of Coding For decades, we’ve elevated programming to something akin to artistry. We’ve written books about clean code, debated the aesthetics of different languages, and developed cultural identities around our technology stacks. But we’ve lost sight of a fundamental truth: code itself is not the end goal.   Code is simply a means to an end—a necessary bridge between human intent and computer execution. It exists because we haven’t yet developed hardware that can directly manifest our intentions. The value isn’t in the code itself but in what it enables. The Industrial Revolution of Software When I began my career, I worked on a project where one of the founders built a framework that automatically generated 80-90% of our backend code. This early experience showed me that software could be generated rather than painstakingly handcrafted. Since then, I’ve continually sought tools that minimize manual coding—Rapid Application Development frameworks, code generators, and now AI assistants.   This progression follows a natural evolutionary path similar to other industries:   Handcrafting (assembly language) Standardized components (high-level languages) Assembly lines (frameworks and libraries) Automation (AI-assisted development)   Each stage has met resistance from those who mastered the previous paradigm, but each has ultimately prevailed because it delivers more value more efficiently. Engineering vs. Programming The emergence of AI in software development isn’t eliminating the need for human involvement—it’s elevating it. As routine coding tasks become automated, developers are freed to focus on higher-level engineering challenges.   There’s a meaningful distinction between programming and engineering:   Programming is implementing a solution when the path is clear Engineering is determining what to build when the problem is understood but the solution isn’t obvious   AI tools excel at the former but struggle with the latter. They can generate code based on patterns they’ve observed, but they can’t yet make the creative leaps required to solve novel problems or understand the nuanced business context that shapes technical decisions. The Sustainable Balance Early resistance to AI code generation often focuses on quality concerns: “It doesn’t write code exactly as I would.” But this misses the point entirely. The goal isn’t to replicate human coding patterns—it’s to deliver functional software that meets business needs.   Unlike RAD frameworks that often boxed developers into rigid patterns, AI assistants offer unprecedented flexibility. They can adapt to new requirements and generate custom solutions within minutes rather than days. This combination of adaptability and speed enables a more iterative, experimental approach to software development. The Future of Development As AI capabilities continue to advance, the role of software professionals will evolve toward:   Problem definition and requirements clarification Architecture and system design Validation and quality assurance Business domain expertise Ethical oversight and decision-making   The most successful teams will be those that embrace AI as a collaborator rather than viewing it as a threat. They’ll develop new workflows that leverage both human creativity and machine efficiency, creating a symbiotic relationship that delivers better software faster than either could alone. Embracing the Inevitable There’s a clear parallel between hand-assembled luxury cars and manually written code. While craftsmanship has its place, the market increasingly favors efficiency and accessibility. Just as few would pay a premium for a hand-assembled car that performs identically to its mass-produced counterpart, businesses won’t continue paying for manually written code when AI-generated alternatives deliver equivalent functionality at a fraction of the cost.   This is simply practical evolution—and an opportunity. By embracing AI assistance, we can focus on the truly meaningful aspects of software development: solving complex problems, creating intuitive user experiences, and delivering business value.   The industrial revolution in software development is already underway. The question isn’t whether AI will transform our field, but how quickly we’ll adapt to the new landscape it creates.   Those who cling to the romantic notion of coding as an art form may soon find themselves in the position of artisanal craftsmen—respected for their skill but increasingly detached from the mainstream. Those who embrace the change will help shape a new era where software development becomes more accessible, efficient, and focused on outcomes rather than implementation details.   The future belongs to the engineers, not the programmers.

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AngenAI: Revolutionizing Software Development Through AI Automation

AngenAI: Revolutionizing Software Development Through AI Automation Table of Contents In today’s rapidly evolving tech landscape, the process of software development remains surprisingly manual. While technology has automated countless industries, the creation of software itself has largely resisted industrialization—until now. We’re excited to announce the launch of AngenAI, a revolutionary tool designed to transform how software is developed by leveraging the power of artificial intelligence. Automating the Software Development Process AngenAI is available as a desktop application, web interface, and as server-side agents that enable developers to generate complete solutions based on task descriptions, existing source files, or even create projects from scratch. Available for both Mac and Windows platforms, with server-side automation capabilities, AngenAI aims to automate the most tedious aspects of coding, allowing developers to focus on architecture, features, and delivering value rather than repetitive implementation tasks.   “We do the most technically advanced things in the most outdated way. The process of creating software has always been very manual. Now we’re trying to automate it.”   The truth is, our software production is like a factory lane with different workplaces—but the problem is that many steps in this factory lane are still done by hand, like in medieval ages. Sometimes our creativity is limited simply by how fast we can type! With AngenAI, we’re introducing AI machines that help people be more creative while handling common tasks automatically. How AngenAI Works The workflow in AngenAI centers around “work items”—tasks that are implemented with AI assistance. The system processes your requirements and generates code that respects your existing codebase and standards.   Here’s what makes AngenAI special:   Contextual Understanding   The tool analyzes selected files from your project, ensuring that generated code integrates seamlessly with your existing codebase. This context-aware approach means you’re not getting generic solutions that need extensive modification—you’re getting tailored code that fits your specific environment.   Organizational Structure   AngenAI organizes work by projects and organizations, allowing teams to configure code generation according to their specific standards. This structure is particularly valuable for corporate environments where consistency across projects is essential.   Knowledge Management   The platform includes a knowledge base where you can store guidelines, tech stack documentation, and other project-specific information. This ensures that generated code always adheres to your established practices.   Personalities   AngenAI introduces the concept of “personalities” that influence how code is generated. These configurable settings allow you to specify formatting preferences, coding standards, and other stylistic elements that make the generated code feel like it was written by a member of your team.   Version Control   The tool maintains a history of all generations and modifications, allowing you to track changes, revert to previous versions, or edit messages and regenerate code if needed. This provides a safety net as you collaborate with the AI to refine solutions. Real-World Applications In a demonstration, AngenAI was used to create a chatbot for the Swedish police that could consult on labor-related court decisions. The entire solution, including document uploading, chat functionality, and vector database integration, was developed in approximately two hours.   Another example showcased the implementation of a logging system for backend communications, completed in just two steps, demonstrating the tool’s versatility for both frontend and backend development tasks.   The results are truly fantastic. Our AI coding machine alone can produce about 80% of the code needed for a user story implementation. This transforms software development into a fast and effortless process. Future Directions AngenAI represents just the beginning of a broader vision to automate the entire software development lifecycle. Future plans include:   Project Planning: Enhancing task definition and requirements gathering through AI assistance Unattended Server-Side Operation: Allowing the system to listen for JIRA updates, check out projects, generate solutions, and create pull requests automatically Testing and Deployment: Extending automation to quality assurance and production deployment   Imagine this: in a single day, we can take requirements from a client, transform them into tasks, then have AI pick up those tasks along with our knowledge base and coding standards to transform them into code. We demonstrate the solution, get feedback, make changes to the tasks, and regenerate the code. This entire iteration can happen within one day! There’s no need to spend countless hours fine-tuning every requirement—we can create, show, adjust, and show again. Getting Started AngenAI is currently available for free as we onboard early adopters. The team is actively seeking feedback to refine the tool and add new features based on real-world usage.   Whether you’re struggling with UI development, need to quickly prototype a solution, or want to boost your productivity across the board, AngenAI offers a new approach to software development that could save countless hours of manual coding. Join us in bringing software development into the age of industrialization, where AI and human creativity combine to produce better software, faster. About the Team AngenAI is being developed by a dedicated team committed to revolutionizing software development processes. The team welcomes collaboration from interested developers who want to contribute to this transformative project.   Just as AI-generated music can produce tracks so good people Shazam them (yet we still need live bands for that special creative spark and atmosphere), our goal with AngenAI is to blend together the best things that humans and AI can do for software development. We’re not replacing developers—we’re supercharging them.   Ready to experience the future of software development? Connect with us to join our early access program and see how we can accelerate your software development.

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