Writing Code with Github Copilot and ChatGPT Together — III

· Source: berk-orbay - Medium · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering, Emerging Technologies & Innovation · Depth: Intermediate, quick

Summary

The article, "Writing Code with Github Copilot and ChatGPT Together — III," discusses the significant advancements in AI model performance over the past two years, particularly in code generation. It highlights the emergence of "agents" within tools like Github Copilot, capable of creating entire codebases autonomously. The author posits that AI can impeccably handle regular and straightforward coding tasks, such as upserting to Postgres, generating charts, or fetching data from REST APIs, citing an example where AI created a fully functional frontend product without manual coding. However, for niche or ambiguous tasks, AI requires more human intervention and regular checks. The piece also addresses security concerns, noting that existing QA and security solutions for human-generated code apply to AI-generated code, with specialized agentic AI models available for vulnerability detection and fixing.

Key takeaway

For engineering leaders evaluating AI code generation tools, recognize that current AI agents function as highly capable senior developers for well-defined, data-rich tasks. You should integrate these tools for automating boilerplate, routine integrations, and scaffolding, expecting significant cost reductions. However, for novel algorithms or highly specialized domain logic, plan for substantial human oversight and validation, as AI's effectiveness diminishes where training data is sparse or problems are ambiguous.

Key insights

AI code agents excel at routine tasks but require human oversight for novel or complex problems.

Principles

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, Software Engineer, AI Engineer, AI Product Manager

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Editorial summary, takeaway, and curation by AIssential. Original article published by berk-orbay - Medium.