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Developer struggles with AI in CI/CD, citing cost and security flaws

By PulseAugur Editorial · [1 sources] ·

A developer shared their experience integrating AI into their CI/CD pipeline for the SkillSpector project, encountering significant challenges. The primary issues were the AI's slow performance, leading to high costs on GitHub, and its lack of sophistication in detecting prompt injection attacks. The developer also noted that SkillSpector's extensive vulnerability pattern list might not catch custom, obfuscated scripts, and suggested improvements like verified AI accounts and unlisting unused skills to maintain ecosystem integrity. AI

IMPACT Highlights practical difficulties and security concerns in applying AI to software development workflows.

RANK_REASON Developer's personal account of using AI in a CI/CD pipeline, detailing challenges and suggestions.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Developer struggles with AI in CI/CD, citing cost and security flaws

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Developer's personal account of using AI in a CI/CD pipeline, detailing challenges and suggestions.
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product, safety
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97 days old
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COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Today I started using AI in my CI CD for SkillSpector https:// github.com/nvidia/skillspector This hasn't been easy. https:// github.com/nvidia/skillspector 1.

    Today I started using AI in my CI CD for SkillSpector https:// github.com/nvidia/skillspector This hasn't been easy. https:// github.com/nvidia/skillspector 1. it's too slow. GitHub bills by the minute 2. it's obscure. How would an LLM know that it's being deceived (prompt inject…

    LINKS github.com/…/skillspector github.com/…/main.py

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