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.
by HDDH
Genspark, Claude Code, ChatGPT, Gemini, Antigravity, and other generative AI and agentic AI tools — put to the test by a software engineer with 20 years of experience. From pricing, comparisons, and how-to guides to real failures and hands-on examples in AI development.
Code generation and code execution are different things. This article clarifies the distinction and explains how to use Genspark's sandbox environments.
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.
AI has limits developers often ignore. This article examines 7 overlooked weaknesses in AI judgment based on real Genspark development experience.
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 is evolving fast in 2025. This article covers key trends — multimodal AI, agents, and context management — from a Genspark perspective.
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Building with Genspark teaches hard lessons. This article shares 10 real lessons from failure: why to save often, migrate chats, and never trust AI blindly.
Struggling to choose between Genspark and Claude? Discover their strengths in coding, real-time research, and logic to optimize your development workflow.
AI development has 7 clear stages that many beginners skip. This article provides a practical step-by-step overview from concept to production operation.
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.
A well-maintained quick reference speeds up development. This article covers optimal structure and update timing for Genspark quick references.