7 Overlooked Limits of AI Judgment in Development: An Independent Analysis
AI has limits developers often ignore. This article examines 7 overlooked weaknesses in AI judgment based on real Genspark development experience.
📁 Categories: Development Techniques
Applying the V-Model to Genspark AI Development - Eric George's Method's Debut
The V-Model brings structure to AI development. This article introduces how to apply V-Model principles to Genspark projects with the Eric-George Method.
AI Development Trends in 2025: A Genspark Perspective on the Future of Development
AI development is evolving fast in 2025. This article covers key trends — multimodal AI, agents, and context management — from a Genspark perspective.
Overview of AI Development: A 7-Step Guide from Planning to Operation
AI development has 7 clear stages that many beginners skip. This article provides a practical step-by-step overview from concept to production operation.
I Lost 3 Days of Code: Why Git Management Matters in Genspark Dev
Three days of code disappeared due to poor Git habits. This article documents the incident and a Git workflow to prevent code loss in Genspark projects.
Code Refactoring with Genspark: Practical Techniques for Legacy Code
Legacy code gets messy fast. This article covers step-by-step refactoring strategies using Genspark, from analysis through testing to incremental improvement.
Error Handling for Genspark Code: Patterns That Prevent Production Disasters
Insufficient error handling causes production failures. This article covers practical patterns for adding robust error handling to Genspark-generated code.
Stop Genspark Bugs with UML: How to Verify Code Consistency
UML diagrams catch bugs before code review. This article shows how to use Genspark for UML verification and consistency checking against specifications.
Genspark REST API Design: From OpenAPI Spec to Implementation
Poorly designed APIs cause long-term maintenance pain. This article shows how to use Genspark to generate OpenAPI specs and clean REST implementations.
Essential Knowledge to Prevent Failure in AI Coding: There Is No Perfect Code
AI writes code fast but not always correctly. This article covers essential knowledge for avoiding failure when using Genspark for code generation.
Genspark for Database Design: From Normalization to Query Optimization
Database errors are costly. This article shows how to use Genspark for normalization, schema generation, and query optimization in real projects.
N+1 Problem: Common Bugs Introduced by Genspark and a Complete Solution
The N+1 query problem silently kills app performance. This article explains what it is, why Genspark generates it, and three prompt techniques to prevent it.