Exploring the intersection of AI-augmented development, production-grade engineering, and building systems that matter. Thoughts on architecture, workflow optimization, and lessons learned from shipping 15+ production systems.
Deep dives into engineering practices, AI workflows, and real-world solutions
Remember when SQL injection was the boogeyman of web security? Meet its charismatic younger sibling: prompt injection. Learn how attackers manipulate AI systems, real-world examples like the Bing Chat hijacking, and practical defense strategies for building secure AI applications.
A detailed walkthrough of my approach to integrating large language models into the development lifecycle—from requirements gathering through deployment. Learn where AI accelerated my work without compromising quality, and where it fell short. Honest analysis of both wins and limitations.
Most developers think of AI as autocomplete, but there's so much more. Explore higher-value applications like architecture planning, test case generation, documentation, and debugging. Includes specific prompting strategies that have worked in production.
A technical deep dive into architectural decisions made under time pressure. Using Ereuna or Project Andrew as a case study, explore the trade-offs between ideal solutions and pragmatic ones, and which corners are safe to cut versus which require full rigor.
Breaking down real implementations where multiple AI agents work together to solve problems a single model can't handle. Exploring 4 core patterns: Sequential Pipelines, Parallel Specialists, Debate & Consensus, and Hierarchical Delegation. Including orchestration, context management, error recovery, and cost optimization strategies.