Category: Software Development - Page 4

Security Risks in LLM Agents: Injection, Escalation, and Isolation

LLM agents can act autonomously, making them powerful but vulnerable to prompt injection, privilege escalation, and isolation failures. Learn how these attacks work and how to protect your systems before it's too late.

Constrained Decoding for LLMs: How JSON, Regex, and Schema Control Improve Output Reliability

Learn how constrained decoding ensures LLMs generate valid JSON, regex, and schema-compliant outputs-without manual fixes. See when it helps, when it hurts, and how to use it right.

RAG Failure Modes: Diagnosing Retrieval Gaps That Mislead Large Language Models

RAG systems often appear to work but quietly fail due to retrieval gaps that mislead large language models. Learn the 10 hidden failure modes-from embedding drift to citation hallucination-and how to detect them before they cause real damage.

Clean Architecture in Vibe-Coded Projects: How to Keep Frameworks at the Edges

Clean Architecture keeps business logic separate from frameworks like React or Prisma. In vibe-coded projects, AI tools often mix them-leading to unmaintainable code. Learn how to enforce boundaries early and avoid framework lock-in.

Productivity Uplift with Vibe Coding: What 74% of Developers Report

74% of developers report productivity gains with vibe coding, but real-world results vary wildly. Learn how AI coding tools actually impact speed, quality, and skill growth-and who benefits most.

Code Ownership Models for Vibe-Coded Repos: Avoiding Orphaned Modules

Vibe coding with AI tools like GitHub Copilot is speeding up development-but leaving behind orphaned modules no one understands or owns. Learn the three proven ownership models that prevent production disasters and how to enforce them today.

Threat Modeling for Vibe-Coded Applications: A Practical Workshop Guide

Vibe coding speeds up development but introduces serious security risks. This guide shows how to run a lightweight threat modeling workshop to catch AI-generated flaws before they reach production.

Interoperability Patterns to Abstract Large Language Model Providers

Learn how to abstract large language model providers using proven interoperability patterns like LiteLLM and LangChain to avoid vendor lock-in, reduce costs, and maintain reliability across model changes.

Onboarding Developers to Vibe-Coded Codebases: Playbooks and Tours

Onboarding developers to vibe-coded codebases requires more than documentation-it needs guided tours and living playbooks that capture unwritten patterns. Learn how to turn cultural code habits into maintainable systems.

Measuring Success in Vibe Coding: Quality, Speed, and Business Impact

Learn how to measure success in vibe coding through real outcomes-not story points or bug counts. Discover how quality, speed, and business impact define high-performing teams.

Tool Use with Large Language Models: Function Calling and External APIs Explained

Function calling lets large language models interact with real tools and APIs to access live data, reducing hallucinations and improving accuracy. Learn how it works, how major models compare, and how to build it safely.

Vertical Slices in Vibe Coding: How to Ship End-to-End Features Without Overengineering

Vertical slices in vibe coding let you ship full-stack features faster by focusing on one small, end-to-end feature at a time. Learn how to use AI tools like Cursor.sh and Wasp to build, test, and deploy features without overengineering.

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