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.
Quick reference structure for Genspark: triple your dev efficiency
A well-maintained quick reference speeds up development. This article covers optimal structure and update timing for Genspark quick references.
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.
Genspark froze for 30 seconds due to forgotten timeout handling
Forgotten timeout handling can freeze your app for 30 seconds. This article covers why AI misses it and how to add proper timeout logic to Genspark-generated code.
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.
Don't lose data in AI development: a 5-minute backup strategy
Losing data mid-AI development is devastating. This article covers the top 3 risks and simple backup strategies to prevent data loss.
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.
I lost 4 hours of work in Genspark: a recovery manual for developers
A context reset wiped 4 hours of work. This article documents the incident, what was lost, and a recovery manual to prevent it from happening to you.
Cursor Bugbot and AI debugging: what developers need to know in 2025
Cursor Bugbot automates AI debugging in your IDE. This article covers its features, integration with Genspark, and 2025 trends in AI-assisted debugging.
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.