Implementing the Eric George method: v2.19 development report
V2.19 improves the blog system significantly. This article reports on the development process, measured results, and what the Eric-George Method achieved.
📁 Categories: Development Techniques
Gemini QA framework built with Genspark - AI quality assurance
Manual QA is slow. This article covers the Gemini QA Framework built with Genspark — an automated quality assurance system for AI development.
Genspark and Gemini API selection - practical AI development environment
When should you use Genspark vs the Gemini API directly? This article compares both tools and shares practical selection criteria for AI development.
Code generation vs code execution in Genspark: understanding the difference
Code generation and code execution are different things. This article clarifies the distinction and explains how to use Genspark's sandbox environments.
The need for AI quality assurance - why AI needs AI to check it
AI cannot reliably check its own output. This article explains why external QA is essential and how to implement AI-powered quality assurance for Genspark projects.
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.
Applying the V-Model to Genspark AI development - Eric George's method 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.