Is Genspark weak at frontend? 3 Next.js challenges and their solutions
Genspark struggles with modern frontend frameworks. This article covers 3 real challenges faced in Next.js development and the practical solutions that worked.
How I built a 3-month SNS app in 1 week using Genspark: full dev record
One developer built a full SNS app in a single week using Genspark. This article documents the complete development record — from specs to deployment — and the key lessons learned.
Genspark keeps forgetting instructions: how repetition prevents mistakes
Genspark forgets instructions mid-session. This article explains the repetition technique — having AI confirm instructions — and why it dramatically reduces development mistakes.
Genspark bugs? The 7 developer nightmares and how to work around them
Genspark is powerful but buggy. This article covers the 7 most painful developer experiences and the practical workarounds that keep projects moving.
Genspark: problems while using it – my 7 issues and how I solved them
Genspark has known quirks that trip up developers. This article covers 7 real issues — from getting stuck in loops to repeated mistakes — and practical workarounds.
Stop repeating yourself to Genspark: QA v3.0's history accumulation strategy
Genspark forgets repeated instructions. This article covers the QA v3.0 history accumulation strategy that eliminates the need to repeat yourself and maintains quality across sessions.
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.
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.