What is the AI development stack?

It's the core layers — LLMs, agents, tools, context, prompting — that turn chatbots into working apps. Skip fundamentals, build toys.

How do AI agents work?

Loop of think-act-observe using tools for real actions. No loop, no agent — just fancy text gen.

Why is context management key in LLMs?

Models read full context per call; overflow loses info. Prune smart, or pay in quality and cash.

🤖 AI & Machine Learning

Decoding the AI Development Stack: What Devs Miss in the Hype

You've got Copilot humming in your IDE, but do you grok the stack underneath? This vet's guide cuts through the fog to the bits that actually ship products.

theAIcatchup Apr 10, 2026 4 min read

Schematic of AI agent loop with LLM core, tools branching out, and context window limits

⚡ Key Takeaways

Grasp tokens and context windows to slash costs and fix hallucinations. 𝕏
Agents are just THINK-ACT-OBSERVE loops powered by tools—no magic. 𝕏
Prompting + memory hacks turn autocomplete into deployable AI. 𝕏

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theAIcatchup

Community-driven. Code-first.

#AI agents #AI development stack #LLMs #prompt engineering

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Originally reported by Dev.to

⚡ Key Takeaways

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