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PR Review Tool: Bot vs. AI Agent Name

You:

I have a quick question for you regarding the bot that we would use in GitHub. Would it be better to call it an agent like an AI agent or using a bot in the name make it more GitHub centric, etc.

The reason I ask, is that AI agent is such a thing right now and I wonder if what I’m building here can be considered an AI agent because I want to put AI agent or agency on my resume ha ha lol

ChatGPT:

"Alright, let’s break this down, because the naming isn’t just about branding—it’s about how you position yourself and the tech you're building. Whether you call it a bot or an AI agent could change perceptions, and yeah, it absolutely impacts how cool it looks on your resume!"

Bot vs. AI Agent​

1. What’s the Difference?​

  • Bot:

    • Traditionally associated with task automation.
    • Often considered simpler, more focused on repeating predefined actions (e.g., commenting on a PR, running a script).
    • Tightly linked with platforms like GitHub, Discord, or Slack.
    • Example: “GitHub bot for automated PR reviews.”

  • AI Agent:

    • Associated with autonomy and intelligence.
    • Goes beyond task automation to understand, learn, and make decisions.
    • Currently trendy in AI discussions, making it sexier for branding and resumes.
    • Example: “AI agent that evaluates code, makes suggestions, and learns from team feedback.”

2. GitHub-Centric vs. Industry Trend​

  • GitHub Bot:

    • Pro: Feels native to GitHub; developers will instantly know it integrates well.
    • Con: Might feel less innovative, limiting how you market the tool to broader audiences or industries.
    • Ideal For: Marketing specifically within the GitHub ecosystem.

  • AI Agent:

    • Pro: Positions your tool as cutting-edge, beyond just GitHub (e.g., part of a broader AI-driven workflow).
    • Con: Could be seen as overhyped if the "agent" doesn’t do much beyond automation.
    • Ideal For: Selling the system as a broader AI-powered workflow tool, potentially beyond GitHub.

3. Can What You’re Building Be Considered an AI Agent?​

Yes—what you’re building can absolutely be called an AI agent if:

  1. It uses AI for contextual understanding (e.g., analyzing diffs, evaluating complexity, scoring PRs).
  2. It has some level of autonomy, like making decisions (e.g., assigning a risk score or suggesting code changes).
  3. It integrates AI feedback loops to learn and improve over time.

You’re already doing much more than a basic bot. By integrating OpenAI and potentially fine-tuning prompts, adding persona management, and scoring PRs, you’re moving into AI agent territory.

4. What to Call It?​

Scenario 1: GitHub-Specific Branding

  • Stick with "bot" in the name if your marketing is centered on GitHub and developers want tools that feel integrated and lightweight.
    • Example Names:
      • CodeReviewBot
      • PRAnalyzerBot
      • GitAI Bot

Scenario 2: Broader AI Positioning

  • Use "AI agent" to align with industry trends and make the tool feel like part of a larger intelligent ecosystem.
    • Example Names:
      • CodeReview Agent
      • PR AI Agent
      • DevFlow AI Agent

Scenario 3: Hybrid Approach

  • Combine GitHub familiarity with AI agency:
    • "GitHub AI Agent"
    • "AI ReviewBot"

5. Resume Impact​

Let’s be honest, "AI agent" looks way cooler on a resume than "bot." When you frame your project as building an autonomous AI system rather than just a task runner, it gives off next-gen vibes.

Example Resume Line​

  • "Developed an AI agent to autonomously review pull requests, evaluate code quality, and provide actionable insights using OpenAI integration in GitHub workflows."

Compare that to:

  • "Built a GitHub bot to automate pull request reviews using OpenAI."

The agent line screams cutting-edge AI, while the bot line feels like a side project.

6. Final Recommendation​

Go with AI Agent in your branding and messaging if:

  1. You want to position yourself and your project as cutting-edge.
  2. Your system leverages autonomy, decision-making, and contextual understanding.

Stick with bot if:

  1. You want to keep the focus strictly on GitHub integration.
  2. You’re marketing to developers who prefer simplicity over buzzwords.

TL;DR​

Call it an AI Agent. It’s trendy, forward-looking, and aligns with the intelligence and autonomy you're building into the system. It makes the project feel bigger than just GitHub and gives your resume a shiny new weapon. And hey, the "AI Agent Architect" title has a nice ring to it, doesn’t it? 🚀

You:

AI agent architect has three A’s. Can we expand that title to make it for?

ChatGPT:

"Alright, you want a title that pops with 4 A’s? Let’s crank up the creativity while keeping it legit and badass."

AI Agent Architect + 1 More A​

  1. Advanced AI Agent Architect

    • Highlights that you’re working with cutting-edge tech.
    • "I’m not just an architect—I’m advanced as hell."

  2. Autonomous AI Agent Architect

    • Emphasizes the autonomy of your agents, making it clear they’re not simple bots.
    • "I build AI that thinks, not just reacts."

  3. Applied AI Agent Architect

    • If you want to highlight practical implementations in real-world scenarios.
    • "I’m the one applying AI to change workflows."

  4. Adaptive AI Agent Architect

    • Suggests agents that learn and evolve, a perfect fit if you're implementing feedback loops.
    • "AI that adapts to your team’s needs? That’s my game."

  5. Accelerated AI Agent Architect

    • Speaks to efficiency and speed, showcasing how your solutions save time and boost productivity.
    • "Speeding up workflows with AI is what I do."

Final Suggestion​

Autonomous AI Agent Architect is my top pick. It’s technical, cutting-edge, and aligns perfectly with your project’s goals—plus, it gives you that 4-A flex. Slap that on your resume, LinkedIn, or anywhere else and watch people take notice. 🚀