Jack Carl Stanley

Jack's own software and AI work

Jack doesn't just lead development teams, he is a working software developer and architect, with 3 million lines of code personally written with AI-assisted development last year alone.

• ArchitectureSoftware architecture and system designDesigns complete systems and custom business software — data models, APIs, integrations, security and cloud deployment — using object-oriented design, design patterns and microservices.
• Front end & UXWeb front ends and UI/UX designFront ends in HTML, CSS, Bootstrap, JavaScript and TypeScript with React, Angular and Vue, designed through wireframes, prototypes and usability testing.
• Full stackFull-stack application developmentComplete applications from database to interface: C# and .NET, Java and Spring, Python and Django, Node.js, on SQL Server, MySQL and MongoDB.
• Mobile & gamesMobile apps and game developmentNative iOS apps in Swift and Objective-C, Android apps in Java, and games in Unity (C#) and Unreal Engine (C++).
• SecurityCyber security, hardware and networksSecure software end to end: OWASP risks such as SQL injection and XSS, encryption, authentication, Linux, networks, firewalls, VPNs, ethical hacking and threat intelligence.
• DevOpsAgile delivery and DevOpsRunning projects with Agile, Scrum and DevOps, using Git and GitHub, Visual Studio, Azure DevOps CI/CD pipelines, Docker and Azure cloud hosting.
• Data scienceData science and machine learningStatistics, data analysis and visualization in Python and R, and machine learning — neural networks, deep learning, natural-language processing, computer vision — with TensorFlow and PyTorch.
• AI agentsCustom AI agents and integrationsAgents, chatbots and assistants on OpenAI and Azure OpenAI models, grounded in an organization's own data through retrieval, and built into existing software.
• AI developmentAI-assisted development and automationDirecting AI coding tools with an architect's review and automated tests, and turning repetitive, rule-driven business work into automated workflows with human checkpoints.
• AI adoptionAI training and adoptionTeaching teams to use ChatGPT and other generative AI tools at work: effective prompting, realistic limits and responsible adoption.