<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Nought Digital — AI Engineering Insights</title><description>Latest insights on AI engineering, automation, and production-grade AI systems. Learn from our experience building AI solutions that actually work.</description><link>https://nought.digital/</link><item><title>Building Production-Ready AI Agents</title><link>https://nought.digital/insights/building-production-ready-ai-agents/</link><guid isPermaLink="true">https://nought.digital/insights/building-production-ready-ai-agents/</guid><description>Essential patterns for deploying AI agents that actually work in production environments.</description><pubDate>Wed, 15 Oct 2025 00:00:00 GMT</pubDate><category>AI Agents</category><category>Production</category><category>Engineering</category><category>Best Practices</category><author>Jake Henshall</author></item><item><title>RAG vs Fine-tuning: When to Use What</title><link>https://nought.digital/insights/rag-vs-fine-tuning-when-to-use-what/</link><guid isPermaLink="true">https://nought.digital/insights/rag-vs-fine-tuning-when-to-use-what/</guid><description>A practical guide to choosing between retrieval-augmented generation and model fine-tuning.</description><pubDate>Fri, 10 Oct 2025 00:00:00 GMT</pubDate><category>RAG</category><category>Fine-tuning</category><category>Strategy</category><category>AI Architecture</category><author>Jake Henshall</author></item><item><title>How We Reduced Support Tickets by 41%</title><link>https://nought.digital/insights/how-we-reduced-support-tickets-by-41-percent/</link><guid isPermaLink="true">https://nought.digital/insights/how-we-reduced-support-tickets-by-41-percent/</guid><description>Behind the scenes of building a fintech support copilot that actually delivers results.</description><pubDate>Sun, 05 Oct 2025 00:00:00 GMT</pubDate><category>Support</category><category>Case Study</category><category>ROI</category><category>Customer Success</category><author>Jake Henshall</author></item><item><title>Prompt Engineering Best Practices</title><link>https://nought.digital/insights/prompt-engineering-best-practices/</link><guid isPermaLink="true">https://nought.digital/insights/prompt-engineering-best-practices/</guid><description>How to write prompts that actually work in production environments.</description><pubDate>Wed, 01 Oct 2025 00:00:00 GMT</pubDate><category>Prompt Engineering</category><category>Best Practices</category><category>AI Development</category><author>Jake Henshall</author></item><item><title>AI Cost Optimisation Strategies</title><link>https://nought.digital/insights/ai-cost-optimisation-strategies/</link><guid isPermaLink="true">https://nought.digital/insights/ai-cost-optimisation-strategies/</guid><description>How to build AI applications that deliver value without breaking the budget.</description><pubDate>Sun, 28 Sep 2025 00:00:00 GMT</pubDate><category>Cost Optimisation</category><category>Budget</category><category>AI Economics</category><author>Jake Henshall</author></item><item><title>Rapid AI Prototyping with LangChain, Supabase, and FastAPI</title><link>https://nought.digital/insights/rapid-ai-prototyping-langchain-supabase-fastapi/</link><guid isPermaLink="true">https://nought.digital/insights/rapid-ai-prototyping-langchain-supabase-fastapi/</guid><description>How we go from idea to working AI prototype in days, not weeks — using LangChain, Supabase, and FastAPI to turn experiments into production-grade systems.</description><pubDate>Mon, 27 Oct 2025 00:00:00 GMT</pubDate><category>LangChain</category><category>FastAPI</category><category>Supabase</category><category>Prototyping</category><category>AI Engineering</category><author>Jake Henshall</author></item><item><title>Understanding and Deploying Production AI Systems</title><link>https://nought.digital/insights/understanding-and-deploying-production-ai-systems/</link><guid isPermaLink="true">https://nought.digital/insights/understanding-and-deploying-production-ai-systems/</guid><description>As the world of artificial intelligence continues to evolve, deploying AI systems in production environments has become a critical skill for engineers...</description><pubDate>Thu, 04 Dec 2025 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>Model Evaluation Frameworks</title><link>https://nought.digital/insights/model-evaluation-frameworks/</link><guid isPermaLink="true">https://nought.digital/insights/model-evaluation-frameworks/</guid><description>In the ever-evolving world of artificial intelligence, selecting the right model evaluation framework is crucial for achieving optimal performance. Mo...</description><pubDate>Fri, 05 Dec 2025 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>Production Debugging Techniques</title><link>https://nought.digital/insights/production-debugging-techniques/</link><guid isPermaLink="true">https://nought.digital/insights/production-debugging-techniques/</guid><description>In the fast-paced world of AI engineering and production systems, efficient debugging techniques are crucial for maintaining robust and reliable appli...</description><pubDate>Sat, 06 Dec 2025 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>Vector Database Selection Guide</title><link>https://nought.digital/insights/vector-database-selection-guide/</link><guid isPermaLink="true">https://nought.digital/insights/vector-database-selection-guide/</guid><description>Choosing the right vector database is crucial for AI-driven applications as we move towards 2025/2026. With advancements in AI technologies, the abili...</description><pubDate>Sun, 07 Dec 2025 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>Context Window Management</title><link>https://nought.digital/insights/context-window-management/</link><guid isPermaLink="true">https://nought.digital/insights/context-window-management/</guid><description>In the realm of artificial intelligence, managing the context window is pivotal for the success of AI agents. Understanding how to efficiently handle...</description><pubDate>Mon, 08 Dec 2025 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>Streaming Responses Optimisation</title><link>https://nought.digital/insights/streaming-responses-optimisation/</link><guid isPermaLink="true">https://nought.digital/insights/streaming-responses-optimisation/</guid><description>In the rapidly evolving landscape of AI engineering, optimising streaming responses is becoming crucial. With real-time data processing and delivery a...</description><pubDate>Tue, 09 Dec 2025 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>Error Recovery Patterns</title><link>https://nought.digital/insights/error-recovery-patterns/</link><guid isPermaLink="true">https://nought.digital/insights/error-recovery-patterns/</guid><description>In an era dominated by intelligent systems, ensuring robustness in AI applications is critical. Error recovery patterns provide a structured approach...</description><pubDate>Wed, 10 Dec 2025 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>Cost-effective Model Selection</title><link>https://nought.digital/insights/cost-effective-model-selection/</link><guid isPermaLink="true">https://nought.digital/insights/cost-effective-model-selection/</guid><description>Selecting the right AI model is a critical step in developing intelligent systems, but it often presents a significant cost challenge. With the rapid...</description><pubDate>Thu, 11 Dec 2025 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>Advanced AI Engineering Patterns</title><link>https://nought.digital/insights/advanced-ai-engineering-patterns/</link><guid isPermaLink="true">https://nought.digital/insights/advanced-ai-engineering-patterns/</guid><description>As artificial intelligence continues to transform industries, adopting advanced AI engineering patterns becomes crucial for developing robust, scalabl...</description><pubDate>Mon, 05 Jan 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>Enterprise AI Engineering Patterns</title><link>https://nought.digital/insights/enterprise-ai-engineering-patterns/</link><guid isPermaLink="true">https://nought.digital/insights/enterprise-ai-engineering-patterns/</guid><description>Enterprise AI engineering is transforming industries by enhancing operational efficiency and driving innovation. Yet, implementing AI solutions at sca...</description><pubDate>Tue, 06 Jan 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>Practical AI Engineering Patterns</title><link>https://nought.digital/insights/practical-ai-engineering-patterns/</link><guid isPermaLink="true">https://nought.digital/insights/practical-ai-engineering-patterns/</guid><description>AI engineering patterns are pivotal to building robust, scalable AI systems. As the demand for intelligent solutions grows, understanding and implemen...</description><pubDate>Wed, 07 Jan 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>Advanced AI System Patterns</title><link>https://nought.digital/insights/advanced-ai-system-patterns/</link><guid isPermaLink="true">https://nought.digital/insights/advanced-ai-system-patterns/</guid><description>In the rapidly evolving landscape of artificial intelligence, understanding advanced AI system patterns is crucial for developing robust, scalable, an...</description><pubDate>Thu, 08 Jan 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Best Practices</title><link>https://nought.digital/insights/ai-engineering-best-practices/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-best-practices/</guid><description>In the rapidly evolving world of artificial intelligence, engineering teams are constantly challenged to keep pace with the latest advancements. Under...</description><pubDate>Fri, 09 Jan 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Design Patterns</title><link>https://nought.digital/insights/ai-engineering-design-patterns/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-design-patterns/</guid><description>In the ever-evolving landscape of artificial intelligence, AI engineering design patterns have emerged as essential tools for developers designing rob...</description><pubDate>Sat, 10 Jan 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>Claude Code Workflows That Scale</title><link>https://nought.digital/insights/claude-code-workflows-that-scale/</link><guid isPermaLink="true">https://nought.digital/insights/claude-code-workflows-that-scale/</guid><description>A practical workflow for using Claude in real engineering teams, from task shaping to safe rollout.</description><pubDate>Tue, 20 Jan 2026 00:00:00 GMT</pubDate><category>Claude</category><category>AI Coding</category><category>Workflows</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Coding Tools Landscape 2026</title><link>https://nought.digital/insights/ai-coding-tools-landscape-2026/</link><guid isPermaLink="true">https://nought.digital/insights/ai-coding-tools-landscape-2026/</guid><description>How to evaluate AI coding tools by reliability, cost, governance, and developer experience.</description><pubDate>Thu, 22 Jan 2026 00:00:00 GMT</pubDate><category>AI Coding Tools</category><category>Engineering Strategy</category><category>Developer Experience</category><author>Jake Henshall</author></item><item><title>AI Coding Jobs and Skills in 2026</title><link>https://nought.digital/insights/ai-coding-jobs-and-skills-in-2026/</link><guid isPermaLink="true">https://nought.digital/insights/ai-coding-jobs-and-skills-in-2026/</guid><description>What companies now expect from AI-assisted engineers, and how teams can hire for production impact.</description><pubDate>Sat, 24 Jan 2026 00:00:00 GMT</pubDate><category>AI Jobs</category><category>Hiring</category><category>Software Engineering</category><category>AI Skills</category><author>Jake Henshall</author></item><item><title>Hybrid Human-AI Code Review Patterns</title><link>https://nought.digital/insights/hybrid-human-ai-code-review-patterns/</link><guid isPermaLink="true">https://nought.digital/insights/hybrid-human-ai-code-review-patterns/</guid><description>A review model that uses AI for speed and humans for judgment, security, and architectural quality.</description><pubDate>Mon, 26 Jan 2026 00:00:00 GMT</pubDate><category>Code Review</category><category>AI Coding</category><category>Quality</category><category>Security</category><author>Jake Henshall</author></item><item><title>Prompt Versioning for Engineering Teams</title><link>https://nought.digital/insights/prompt-versioning-for-engineering-teams/</link><guid isPermaLink="true">https://nought.digital/insights/prompt-versioning-for-engineering-teams/</guid><description>Treat prompts as production artefacts with versioning, tests, rollback, and ownership.</description><pubDate>Wed, 28 Jan 2026 00:00:00 GMT</pubDate><category>Prompt Engineering</category><category>Versioning</category><category>MLOps</category><category>AI Systems</category><author>Jake Henshall</author></item><item><title>Observability for AI Coding Agents</title><link>https://nought.digital/insights/observability-for-ai-coding-agents/</link><guid isPermaLink="true">https://nought.digital/insights/observability-for-ai-coding-agents/</guid><description>The telemetry stack you need to debug agent behaviour, tool calls, and regression risks in production.</description><pubDate>Fri, 30 Jan 2026 00:00:00 GMT</pubDate><category>Observability</category><category>AI Agents</category><category>Debugging</category><category>Production</category><author>Jake Henshall</author></item><item><title>Testing Strategies for AI-Generated Code</title><link>https://nought.digital/insights/testing-strategies-for-ai-generated-code/</link><guid isPermaLink="true">https://nought.digital/insights/testing-strategies-for-ai-generated-code/</guid><description>A layered testing approach that keeps AI-generated code fast to ship and safe to run.</description><pubDate>Mon, 02 Feb 2026 00:00:00 GMT</pubDate><category>Testing</category><category>AI Coding</category><category>Quality Engineering</category><category>CI/CD</category><author>Jake Henshall</author></item><item><title>Cost Controls for Multi-Model AI Products</title><link>https://nought.digital/insights/cost-controls-for-multi-model-ai-products/</link><guid isPermaLink="true">https://nought.digital/insights/cost-controls-for-multi-model-ai-products/</guid><description>Simple controls for model routing, token budgets, and caching that protect margin as usage scales.</description><pubDate>Thu, 05 Feb 2026 00:00:00 GMT</pubDate><category>AI Cost</category><category>Model Routing</category><category>FinOps</category><category>Product Engineering</category><author>Jake Henshall</author></item><item><title>Secure Tool Use for AI Agents</title><link>https://nought.digital/insights/secure-tool-use-for-ai-agents/</link><guid isPermaLink="true">https://nought.digital/insights/secure-tool-use-for-ai-agents/</guid><description>How to lock down tool execution paths so AI agents remain useful without introducing avoidable risk.</description><pubDate>Sun, 08 Feb 2026 00:00:00 GMT</pubDate><category>AI Security</category><category>AI Agents</category><category>Tooling</category><category>Risk Management</category><author>Jake Henshall</author></item><item><title>Shipping Claude and OpenAI Together</title><link>https://nought.digital/insights/shipping-claude-and-openai-together/</link><guid isPermaLink="true">https://nought.digital/insights/shipping-claude-and-openai-together/</guid><description>A practical multi-provider architecture for quality fallback, cost control, and vendor resilience.</description><pubDate>Wed, 11 Feb 2026 00:00:00 GMT</pubDate><category>Claude</category><category>OpenAI</category><category>Multi-model</category><category>Architecture</category><author>Jake Henshall</author></item><item><title>From Prototype to Production AI Coding Assistant</title><link>https://nought.digital/insights/from-prototype-to-production-ai-coding-assistant/</link><guid isPermaLink="true">https://nought.digital/insights/from-prototype-to-production-ai-coding-assistant/</guid><description>What changes between demo and production when building an internal AI coding assistant.</description><pubDate>Sat, 14 Feb 2026 00:00:00 GMT</pubDate><category>AI Assistant</category><category>Production</category><category>Engineering</category><category>Delivery</category><author>Jake Henshall</author></item><item><title>AI DevTool Stack for Small Teams</title><link>https://nought.digital/insights/ai-devtool-stack-for-small-teams/</link><guid isPermaLink="true">https://nought.digital/insights/ai-devtool-stack-for-small-teams/</guid><description>A lean, high-impact AI development stack for small teams shipping fast without losing quality.</description><pubDate>Tue, 17 Feb 2026 00:00:00 GMT</pubDate><category>AI Tools</category><category>Small Teams</category><category>Developer Productivity</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>Modern AI Engineering Patterns</title><link>https://nought.digital/insights/modern-ai-engineering-patterns/</link><guid isPermaLink="true">https://nought.digital/insights/modern-ai-engineering-patterns/</guid><description>In the rapidly evolving field of artificial intelligence, modern AI engineering patterns have emerged as pivotal components for developing robust, sca...</description><pubDate>Tue, 24 Feb 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>Production AI Engineering Patterns</title><link>https://nought.digital/insights/production-ai-engineering-patterns/</link><guid isPermaLink="true">https://nought.digital/insights/production-ai-engineering-patterns/</guid><description>In the rapidly evolving world of artificial intelligence, implementing effective production AI engineering patterns is crucial for transforming theore...</description><pubDate>Wed, 25 Feb 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>Scalable AI Engineering Patterns</title><link>https://nought.digital/insights/scalable-ai-engineering-patterns/</link><guid isPermaLink="true">https://nought.digital/insights/scalable-ai-engineering-patterns/</guid><description>Scalable AI engineering patterns are crucial in 2025/2026, as organisations strive to integrate intelligent systems that can grow and adapt with evolv...</description><pubDate>Thu, 26 Feb 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Patterns 0483</title><link>https://nought.digital/insights/ai-engineering-patterns-0483/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-patterns-0483/</guid><description>In the rapidly evolving field of AI, engineering patterns are crucial for developing scalable and maintainable systems. Pattern 0483, a lesser-known b...</description><pubDate>Fri, 27 Feb 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Patterns 3736</title><link>https://nought.digital/insights/ai-engineering-patterns-3736/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-patterns-3736/</guid><description>Artificial intelligence (AI) engineering is rapidly evolving, and understanding AI engineering patterns is crucial for developing robust, scalable, an...</description><pubDate>Sat, 28 Feb 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Patterns 3639</title><link>https://nought.digital/insights/ai-engineering-patterns-3639/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-patterns-3639/</guid><description>AI engineering patterns are crucial for developing robust, scalable, and efficient AI systems. By leveraging design patterns, engineers can streamline...</description><pubDate>Sun, 01 Mar 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Patterns 7753</title><link>https://nought.digital/insights/ai-engineering-patterns-7753/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-patterns-7753/</guid><description>In the rapidly evolving landscape of artificial intelligence, AI engineering patterns have emerged as indispensable tools for developers aiming to bui...</description><pubDate>Mon, 02 Mar 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Patterns 6588</title><link>https://nought.digital/insights/ai-engineering-patterns-6588/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-patterns-6588/</guid><description>In the rapidly evolving landscape of artificial intelligence, understanding and implementing effective engineering patterns is crucial for building ro...</description><pubDate>Tue, 03 Mar 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Patterns 6465</title><link>https://nought.digital/insights/ai-engineering-patterns-6465/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-patterns-6465/</guid><description>AI engineering patterns are the blueprint for creating robust, scalable AI systems. In 2025/2026, they remain crucial for AI development, offering sol...</description><pubDate>Wed, 04 Mar 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Patterns 2262</title><link>https://nought.digital/insights/ai-engineering-patterns-2262/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-patterns-2262/</guid><description>In the ever-evolving world of artificial intelligence, engineering patterns have become the backbone of creating robust, scalable AI solutions. AI eng...</description><pubDate>Thu, 05 Mar 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Patterns 5577</title><link>https://nought.digital/insights/ai-engineering-patterns-5577/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-patterns-5577/</guid><description>AI engineering patterns are a cornerstone in modern software development, guiding engineers towards building robust, scalable, and efficient AI system...</description><pubDate>Fri, 06 Mar 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Patterns 1514</title><link>https://nought.digital/insights/ai-engineering-patterns-1514/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-patterns-1514/</guid><description>AI engineering patterns are essential for developing robust, scalable, and efficient AI systems. In this post, we explore the most pertinent AI engine...</description><pubDate>Sat, 07 Mar 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Patterns 3824</title><link>https://nought.digital/insights/ai-engineering-patterns-3824/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-patterns-3824/</guid><description>In the rapidly evolving landscape of AI, understanding and implementing effective engineering patterns is crucial. AI Engineering Patterns 3824 provid...</description><pubDate>Sat, 18 Apr 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Patterns 4644</title><link>https://nought.digital/insights/ai-engineering-patterns-4644/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-patterns-4644/</guid><description>In the rapidly evolving field of AI engineering, understanding effective patterns is crucial for building robust systems. As we look towards 2025, AI...</description><pubDate>Sun, 19 Apr 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Patterns 8512</title><link>https://nought.digital/insights/ai-engineering-patterns-8512/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-patterns-8512/</guid><description>AI engineering patterns are the backbone of designing scalable, efficient, and maintainable AI systems. In this guide, we&apos;ll explore AI Engineering Pa...</description><pubDate>Mon, 20 Apr 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Patterns 0196</title><link>https://nought.digital/insights/ai-engineering-patterns-0196/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-patterns-0196/</guid><description>AI engineering patterns serve as vital blueprints for developing robust, scalable, and efficient AI systems. Amongst these, Pattern 0196 stands out fo...</description><pubDate>Tue, 21 Apr 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Patterns 5627</title><link>https://nought.digital/insights/ai-engineering-patterns-5627/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-patterns-5627/</guid><description>In the fast-evolving world of artificial intelligence, AI engineering patterns are pivotal for developing robust, scalable, and efficient systems. As...</description><pubDate>Wed, 22 Apr 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Patterns 0675</title><link>https://nought.digital/insights/ai-engineering-patterns-0675/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-patterns-0675/</guid><description>The realm of AI engineering is continuously evolving, and with it, the methodologies and patterns that define successful implementations. AI Engineeri...</description><pubDate>Thu, 23 Apr 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Patterns 5761</title><link>https://nought.digital/insights/ai-engineering-patterns-5761/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-patterns-5761/</guid><description>AI engineering is continuously evolving, and in 2025/2026, understanding AI engineering patterns like 5761 is essential for creating robust, scalable...</description><pubDate>Fri, 24 Apr 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item><item><title>AI Engineering Patterns 0296</title><link>https://nought.digital/insights/ai-engineering-patterns-0296/</link><guid isPermaLink="true">https://nought.digital/insights/ai-engineering-patterns-0296/</guid><description>Artificial Intelligence (AI) is transforming industries across the globe, and understanding AI engineering patterns is crucial for effective implement...</description><pubDate>Sat, 25 Apr 2026 00:00:00 GMT</pubDate><category>AI</category><category>Engineering</category><author>Jake Henshall</author></item></channel></rss>