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mathgladiator
mathgladiator

Posted on • Originally published at nexivibe.com

Pivot Toward AI and Agents

#aiagents #aigamedevelopment #claudeai #adamaprogramming

Pivoting to AI Agents: A Developer's Deep Dive

Hey devs, imagine AI not just writing your code snippets, but generating entire agent backends, spinning up games, and orchestrating tools that scale effortlessly. That's where I'm heading after burning through Claude, Opus, and local setups. With my home lab down to a laptop post-fire, I've leaned hard into AI for research, prototyping, and building—uncovering game-changers like Adama. Let's break down my pivot, focusing on the tech plays that could supercharge your workflows.

AI-Powered Research and Prototyping

I've used Claude with tools like Ralph (multi-persona loops) to generate deep reports. One standout: AI's role in game dev, pulling from tools like meshy.ai. Check the full report here—it's a cold splash confirming AI excels at assets and prototypes but needs human polish for depth. I'm indexing all this research on my site, and it's already informing agent architectures.

Tools That Get Stuff Done

Ditching web distractions, I'm building CLI/desktop tools for real productivity:

  • Cutter: Loads images, lets you tag metadata on regions, then slices them up. Perfect for post-AI image cleanup or breaking down generative art into parts. Next: more manipulations like auto-crop and batch processing.

  • Deckify: Generates card decks from images or tabular data. Feed it source assets (soon text too), and it stamps out printable sets. Long-term: Integrate with The Game Crafter for seamless board game production.

These are battle-tested for my workflows—simple, local, and extensible without cloud bloat.

Adama: The Agent Backbone

Adama is my cost-controlled, stateful secret for multiplayer backends. AI's flagged it as ideal for agents, so I'm experimenting: Can Claude generate .adama scripts from prompts? Early tests show promise for spinning up 100+ game variants or agent fleets.

Plans:

  • Have Claude document Adama bottom-up.
  • Spin up an MCP server to test limits.
  • Use Adama as backend for apps (e.g., exercise trackers with RxHTML dashboards).
  • Ditch OpenClaw integrations—security headaches and costs don't justify it. Adama handles orchestration natively.

If AI masters Adama, it unlocks an ecosystem where agents deploy games or tools on-demand. Devs, if you're into scalable state or agents, star adama-core on GitHub to stay in the loop—it's open-source gold.

Current Priorities (Subject to AI Pivot)

  1. Unify my code/writing corpus: Feed it to AI for voice-tuned generation—strictly token-budgeted.
  2. Adama deep-dive: Claude docs + script gen + MCP vibes.
  3. No more mobile distractions: Feedback to apps like Hevy; fallback to Adama/RxHTML if needed.
  4. Game backends via AI: Adama for servers, adapt clients for 3D/agent surprises.
  5. Deep research: Executive summaries on everything, indexed and tool-ified.
  6. Adama as agent tech: Full pivot from external tools.
  7. Skip AI hardware: Wait for next-gen; focus on high-level orchestration.

Philosophically, AI handles the grind—leaving us to architect destiny. Humans code-review, ideate, and manifest.

Wrapping Up: Join the Agent Era

This pivot's about focus: AI amps productivity, Adama keeps it scalable and cheap. What's your take—agents in prod yet? Drop comments, and star adama-core if it sparks ideas.

Original post: https://nexivibe.com/posts/pivot-to-ai-agents.html

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