Category: Software Development
Pilot-to-Production: Hardening Vibe-Coded Apps for Real Users
Turn fast vibe-coded prototypes into reliable production apps. Learn key hardening steps for security, performance, and observability to avoid common pitfalls.
Teaching with Vibe Coding: Learning Architecture by Inspecting AI Code
Discover how vibe coding transforms CS education by teaching architecture through AI code inspection. Learn why reviewing AI-generated code beats traditional syntax drills.
Service Boundaries in Vibe Coding: Stopping AI Prompts from Creating Tight Coupling
Stop AI prompts from creating tight coupling. Learn how to enforce service boundaries in vibe coding using modular monoliths, ADRs, and strict rules.
Prompting LLMs for Code: Proven Patterns for Unit Tests and Refactors
Stop guessing with AI code generation. Learn proven prompting patterns like Context & Instruction and Recipe to boost unit test pass rates and streamline refactoring.
LLM Observability: Mastering Token Metrics, Queues, and Tail Latency
Stop trusting averages. Learn why token metrics, queue depths, and tail latency are the only reliable ways to monitor LLM inference performance in production.
Multimodal Vibe Coding: Turning Visual Mockups into Working Code
Discover how multimodal vibe coding turns visual mockups into working code using AI. Learn about tools like GitHub Copilot Vision, real-world performance data, and when to use this trend for prototyping versus production.
How to Review AI-Generated Code Without Reading Every Line
Stop wasting hours reading every line of AI code. Learn to review by auditing decisions, focusing on risks, and demanding test evidence.
Style Guides for Prompts: Achieving Consistent Code Across Sessions
Learn how to create prompt style guides to ensure AI-generated code remains consistent across sessions. Discover best practices for naming, formatting, and tooling integration.
Code Generation with Large Language Models: Capabilities, Risks, and Security in 2026
Explore how Large Language Models transform code generation in 2026. Learn about top models like GPT-5.2 and Gemini 3, their capabilities, and critical security risks.
Vibe Coding for Full-Stack Apps: What to Expect from AI Implementations
Discover how vibe coding transforms full-stack development. Learn workflows, tool comparisons, and realistic expectations for AI-assisted coding in 2026.
Code Ownership Models for Vibe-Coded Repos: Stop Orphaned Modules
Stop letting AI-generated code become technical debt. Learn practical ownership models to prevent orphaned modules in vibe-coded repositories.
Architectural Standards for Vibe-Coded Systems: Reference Implementations
Learn how to apply architectural standards to vibe-coded systems. Discover reference implementations, constitutional frameworks, and governance strategies to reduce technical debt and improve AI-generated code quality.
