# Q&A from Deep-Dive: AI Agent Code Walkthrough webinar

**URL:** <https://community.temporal.io/t/q-a-from-deep-dive-ai-agent-code-walkthrough-webinar/17355>\
**Category:** Developer Corner\
**Created:** [May 5, 2025, 11:28pm UTC](https://community.temporal.io/t/q-a-from-deep-dive-ai-agent-code-walkthrough-webinar/17355 "2025-05-05T23:28:46Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![temporal\_angie](https://sea2.discourse-cdn.com/flex016/user_avatar/community.temporal.io/temporal_angie/32/5640_2.png) [@temporal\_angie](https://community.temporal.io/u/temporal_angie)\
**Post date:** [May 6, 2025, 12:01am UTC](https://community.temporal.io/t/q-a-from-deep-dive-ai-agent-code-walkthrough-webinar/17355/2 "2025-05-06T00:01:14Z")

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Also, this webinar was kind of fun, because WE also asked YOU some questions! 😃 Like…

### What AI tool(s) are you using to supercharge your work as a developer?

 ![Screenshot 2025-05-02 at 5.58.41 PM](https://us1.discourse-cdn.com/flex016/uploads/temporal/original/2X/c/c6ee31a99870b9e54916ad6a25e19b9c17f00c50.png)

### What’s the most _annoying_ thing about coding AI agents right now?

- **Troubleshooting** : How interruptions are handled because of infra issues; Going in loop without making progress. Realizing when it has hit a roadblock and seeks human input; They get stuck in ridiculous annoying loops when biting off too much to chew on; Hitting a loop in conversations and getting no where in some cases; Hitting context limit
- **Agent Reliability** Hallucinations/stochasticity/non-determinism; variability in LLM responses for the same inputs; Knowing if I made the system better or worse with each iteration of prompt/code; They’ll never push back, never say “you ask a stupid thing, I won’t do that”; testing
- **Prompt Engineering** : Preparing training data; Creating prompts, Writing prompts to validate AI results
- **Goal Setting** : Using a conversation to address intermediary goals that may be conditionally required; Addressing an additional goal(s) before accomplishing our primary goal.
- **Observability and Evaluation** : Visualization of the flow for past runs; How to ensure AI responses are correct;
- **Integration** : Integrating the AI agent into our UI/UX built-in product; Managing different tools per LLM from different brands
- **Improved Temporal AI Features** Would like to see more support from Temporal in the Python SDK for supporting agents and chat.
- **Pace of Innovation** \* Having to learn a lot, and kind of continue doing what i am doing and actively up-skilling to pick up the new techs; Rapidly changing stuff before i can think of building something comes up; A lot of folks don’t think about the paradigm of execute ↔ review ↔ commit enough and it makes it harder to get buy-in and move fast
- **Little Guidance** Lack of documentation, credible knowledge base to rely on; Not having enough resources or tools to know how and where to get things started with AI development.
- **Orchestration** everything is easy, except for the orchestration; Workflow orchestration 100%
- **Deployment** Deployment to EKS
- **Proliferation of Choice** so many frameworks, sdks, no consolidation
- **Massive Implications** Because of this you can do so much but because you can do so much, there is also so much that can go wrong/be exploited; So much power (good tone), but also …so much power

### What use cases are you excited about with AI?

 ![Screenshot 2025-05-05 at 4.59.03 PM](https://us1.discourse-cdn.com/flex016/uploads/temporal/original/2X/1/1546726d69029f1dfe48f075fd9706fddce72f69.jpeg)

### What Temporal + AI topic would you like us to talk about next?

1. RAG
2. MCP
3. AI Orchestration

(Credit to [Word Cloud Generator](https://www.jasondavies.com/wordcloud/) for the Word Clouds!)

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_[View the full topic](https://community.temporal.io/t/q-a-from-deep-dive-ai-agent-code-walkthrough-webinar/17355)._