https://jagyeman.dev/blog Articles on software engineering, AI/ML, system design, and building production systems. en-us Sun, 15 Feb 2026 17:26:12 GMT https://jagyeman.dev/blog/aws-architecture-patterns https://jagyeman.dev/blog/aws-architecture-patterns Wed, 18 Feb 2026 00:00:00 GMT Practical AWS architecture patterns for real-world applications — from simple deployments to event-driven architectures. Lambda, ECS, SQS, DynamoDB, and the trade-offs nobody tells you about. AWS Architecture Backend DevOps https://jagyeman.dev/blog/react-patterns-for-production https://jagyeman.dev/blog/react-patterns-for-production Mon, 16 Feb 2026 00:00:00 GMT Battle-tested React patterns for building maintainable applications — compound components, custom hooks, render optimization, and state management strategies that survive real-world complexity. React TypeScript Frontend Architecture https://jagyeman.dev/blog/the-rise-of-ai-agents https://jagyeman.dev/blog/the-rise-of-ai-agents Sat, 14 Feb 2026 00:00:00 GMT A deep dive into AI agent architectures — from simple ReAct loops to multi-agent orchestration. Practical patterns for building agents that reason, use tools, and solve real problems. AI Agents LLMs Python https://jagyeman.dev/blog/ai-assisted-development-guide https://jagyeman.dev/blog/ai-assisted-development-guide Thu, 12 Feb 2026 00:00:00 GMT Beyond autocomplete — a honest look at how AI tools fit into a real development workflow. When to lean on them, when to think for yourself, and the prompting patterns that actually work. AI Developer Tools Productivity Software Engineering https://jagyeman.dev/blog/building-scalable-apis-with-django https://jagyeman.dev/blog/building-scalable-apis-with-django Tue, 10 Feb 2026 00:00:00 GMT A practical guide to designing and building production-ready REST APIs with Django REST Framework, covering serializers, viewsets, authentication, and performance optimization. Django Python REST API Backend https://jagyeman.dev/blog/building-rag-applications https://jagyeman.dev/blog/building-rag-applications Sun, 08 Feb 2026 00:00:00 GMT A practical guide to building Retrieval-Augmented Generation systems that actually work. Covers embedding strategies, chunking, vector databases, re-ranking, and the pitfalls that tutorials skip. AI RAG LLMs Python Vector Databases https://jagyeman.dev/blog/fine-tuning-llms-practical-guide https://jagyeman.dev/blog/fine-tuning-llms-practical-guide Thu, 05 Feb 2026 00:00:00 GMT A practical guide to fine-tuning large language models. When fine-tuning beats prompting, how to prepare datasets, LoRA vs full fine-tuning, and evaluation strategies that prevent shipping a worse model. AI LLMs Machine Learning Python https://jagyeman.dev/blog/clean-code-principles https://jagyeman.dev/blog/clean-code-principles Fri, 30 Jan 2026 00:00:00 GMT Not another 'use meaningful variable names' article. These are the clean code principles that actually prevent production incidents, reduce PR review time, and make codebases a joy to work in. Software Engineering Clean Code Best Practices https://jagyeman.dev/blog/from-monolith-to-microservices https://jagyeman.dev/blog/from-monolith-to-microservices Sun, 25 Jan 2026 00:00:00 GMT Real-world lessons from migrating a Django monolith to a microservices architecture using Docker, Kubernetes, and event-driven communication. Microservices Docker Kubernetes Architecture https://jagyeman.dev/blog/system-design-for-developers https://jagyeman.dev/blog/system-design-for-developers Thu, 22 Jan 2026 00:00:00 GMT The system design concepts that matter most in real-world engineering — load balancing, caching, database scaling, message queues, and how to think about trade-offs. No whiteboard interview fluff. System Design Backend Architecture DevOps https://jagyeman.dev/blog/typescript-patterns-you-should-know https://jagyeman.dev/blog/typescript-patterns-you-should-know Sun, 18 Jan 2026 00:00:00 GMT Advanced TypeScript patterns for real-world applications — discriminated unions, branded types, type-safe event systems, and builder patterns that catch bugs at compile time instead of production. TypeScript Frontend Software Engineering React https://jagyeman.dev/blog/deploying-ml-models-production https://jagyeman.dev/blog/deploying-ml-models-production Thu, 15 Jan 2026 00:00:00 GMT The gap between a Jupyter notebook and a production ML system is massive. Covering model serving, monitoring, feature stores, A/B testing, and the operational patterns that keep ML systems reliable. Machine Learning MLOps Python DevOps https://jagyeman.dev/blog/future-of-fullstack-ai https://jagyeman.dev/blog/future-of-fullstack-ai Sat, 10 Jan 2026 00:00:00 GMT How AI is reshaping what it means to be a full-stack developer. The skills that are becoming more valuable, the ones becoming commoditized, and how to position yourself for the next decade. AI Software Engineering Career Full Stack https://jagyeman.dev/blog/cicd-pipelines-that-work https://jagyeman.dev/blog/cicd-pipelines-that-work Mon, 05 Jan 2026 00:00:00 GMT How to build CI/CD pipelines that are fast, reliable, and don't make your team dread merging code. Covering GitHub Actions, testing strategies, deployment patterns, and the common mistakes that slow teams down. DevOps CI/CD GitHub Actions Software Engineering