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How to build an ai agent from scratch: a guide

Building AI Agents | New Resources and Insights for Beginners

By

Rajiv Gupta

Jan 21, 2026, 11:49 PM

Edited By

Liam O'Connor

Updated

Jan 22, 2026, 08:24 PM

Quick read

A person sitting at a desk, working on a laptop with AI code on the screen and robotic elements around them.

A recent surge in interest for creating AI agents is leading beginners to seek practical support and resources. Discussions on forums reveal a shared enthusiasm, mixed with an understanding of the challenges posed by foundational programming skills.

Foundational Skills are Key

Many individuals are stepping into AI without essential knowledge. One forum member observed, "Exactly ๐Ÿ˜ญ everybody wants to just get started without knowing basics." As beginners tackle complex subjects like object-oriented programming (OOP) and algorithms, they often find themselves overwhelmed by advanced projects, including graph-based models.

"If you really want to learn, avoid jumping straight into random tutorials; hands-on exposure is way more effective than learning alone," advised another contributor, emphasizing the importance of learning in community settings.

New Learning Pathways

Support for beginners continues, with users sharing fresh courses of action:

  • Drag-and-Drop Builders: One comment highlighted the effectiveness of low-code platforms for grasping agent functionality, which can simplify the process for newcomers.

  • ADKs and Blogs: Users pointed out various Application Development Kits (ADKs) and helpful blogs that guide individuals in creating basic bots, such as customer support chatbots, within minutes.

  • MuleRun Insights: Another user mentioned that with MuleRun, itโ€™s not all about intense coding; understanding logic and use cases can kickstart the learning process. They recommended starting with small projects and iterating as confidence grows.

Community Vibes

The mood across forums is generally constructive, with many users encouraging knowledge sharing. One cheers: "Thank u so much!" while on the lookout for specific resources. This supportive atmosphere fosters growth among those new to AI.

Highlights from the Discussion

  • ๐Ÿ“ˆ A large segment of newcomers lacks fundamental programming skills, which raises concerns in learning circles.

  • ๐Ÿ’ป Users widely support YouTube and collaborative learning as effective strategies.

  • ๐Ÿค Emphasis on real-world project experience is strong, with numerous advocates for community-driven engagement.

As users dive deeper into AI technologies, the path to practical and innovative applications looks bright. The challenge remains: how will newcomers build the essential skills needed to thrive in this dynamic field?