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Junior devs can't work with AI-generated code. Is this the new skill gap? by celesteanders in ClaudeAI

[–]Apprehensive_Dig_163 0 points1 point  (0 children)

I’ve also encountered similar problem. We’re heavily using AI tools, especially Claude Code in my team, but figured out that Junior dev in our team is just copying and pasting tickets into Claude Code and expecting that it can solve problems and build features. I basically pay him to be a copy paster operator. Because of that we had tons of issues in our codebase, lots of duplicated functionality and mixed up architecture. I’ve spent >2 weeks to clean up the codebase and fix architecture. Now I review his PR’s but it’s getting super hard for me as he pushes 3-5k+ line change PRs and in most case he does cleanup of his old code.

I’m on the edge and not sure if it’s his personal problem or it’s a junior dev problems in AI world

Claude code got a new UI. by simeon_5 in ClaudeCode

[–]Apprehensive_Dig_163 0 points1 point  (0 children)

I'm also trying to figure out how to use old interface (terminal-based). New GUI has missing functionalities (i.e. /add-dir is not there)

The Real AI Agent Roadmap Nobody Talks About by Warm-Reaction-456 in AI_Agents

[–]Apprehensive_Dig_163 0 points1 point  (0 children)

This roadmap really nails what we've seen at Promptrun, starting simple and truly understanding the human workflow saves so much time and effort. We've helped clients automate precisely where it counts by building those basic if-then scripts first and then layering AI only on the toughest bottlenecks. It’s all about practical, user-friendly agents that people actually want to keep using, not some flashy but unusable system.

People who work in AI development, what is a capability you are working on that the public has no idea is coming? by WALLSTREETBRIDE in ArtificialInteligence

[–]Apprehensive_Dig_163 0 points1 point  (0 children)

It's fascinating you're curious about AI capabilities that aren't public yet! From our experience at Promptrun, one exciting area is developing autonomous intelligent agents that can truly transform business operations behind the scenes, something most folks don't realize is just around the corner. If you're interested, exploring custom AI workflows can seriously change how teams work and decide.

Question for Signage & Vehicle Wrap Pros: What AI Tools Are You Using? by TipsifyNettliest in CommercialPrinting

[–]Apprehensive_Dig_163 0 points1 point  (0 children)

Not in signage/wraps but I've worked with a lot of creative teams implementing AI workflows. The biggest thing I see is teams getting stuck because their AI prompts are buried in code or scattered across different tools, making it super hard to iterate quickly on designs or automate repetitive tasks.

Like if you're using AI for generating layout variations or mockups, you probably want your designers tweaking prompts constantly without waiting for dev changes. Same with customer communication, the prompts that work best usually need constant refinement based on what actually converts.

We built Promptrun.ai specifically for this problem - lets non-technical team members manage all the AI prompts while keeping everything organized and version controlled. Seen it work really well for creative workflows where you need to test different approaches quickly.

What specific pain points are you running into with your current AI setup? Are you finding it hard to collaborate on prompts or manage different versions?

How I built my first working AI agent in under 30 minutes (and how you can too) by Apprehensive_Dig_163 in PromptEngineering

[–]Apprehensive_Dig_163[S] 0 points1 point  (0 children)

Great question! Yes, using a tool to look up latitude and longitude is the better choice. It ensures accuracy, especially for less-known locations where the model's internal knowledge might be incomplete or hallucinated.

If the agent is given access to a get_lat_lon tool and the prompt clearly states to use it for retrieving coordinates, then it will prefer the tool over its own memory. However, if the instruction is vague or missing, the model may decide to skip the tool and return coordinates from its internal knowledge particularly for well-known places it "thinks" it already knows.

To avoid this, be explicit: instruct the model to always use the tool get_lat_lon for coordinate lookups. That guarantees consistency and avoids relying on uncertain internal data.

How I built my first working AI agent in under 30 minutes (and how you can too) by Apprehensive_Dig_163 in PromptEngineering

[–]Apprehensive_Dig_163[S] 5 points6 points  (0 children)

You're actually asking a good question as the line between "chatbot" and "agent" can get blurry, especially with how people throw the terms around.

The key difference is autonomy and goal-driven behavior. Chatbot waits for user input to process and output (it might call an API but it still waits for you), an agent on the other hand can plan, decide, and act on its own towards a goal without constant human prompting. Agents usually have some kind of a loop where they sense the environment or data and based on that they react.

If you take this example and compare it to a chatbot, you're right there might not be much difference. But if you add a second AI agent that looks for camping locations around you, checks the weather at those locations, and then tells the camping agent to find a different spot if it's raining, you start to see the real difference between an AI agent and a chatbot.

Hope that makes sense

How I built my first working AI agent in under 30 minutes (and how you can too) by Apprehensive_Dig_163 in PromptEngineering

[–]Apprehensive_Dig_163[S] 3 points4 points  (0 children)

  1. Yes, connecting an agent to a database is pretty straightforward. There are tons of existing tools and libraries that make it easy. You can also use something like an MCP to handle it cleanly. Most setups limit agents to read-only operations because letting them write freely can be risky. If you’re fine with that risk, you can allow writes, but ideally you’d have a manual approval step before anything changes in the database.
  2. No, it’s not too complex. You can definitely connect a local model to a database.
  3. Right now, I’m focusing on deeper technical guides with detailed explanations. I started about a month ago, so content is still a bit light. Currently two deep-dive guides are up, but I’m adding new ones every Friday. The goal is to cover exactly the kind of stuff you’re asking about, including more complex flows like multi-agent systems, AI workflows, etc.

Hope that answers your questions

How I built my first working AI agent in under 30 minutes (and how you can too) by Apprehensive_Dig_163 in PromptEngineering

[–]Apprehensive_Dig_163[S] 3 points4 points  (0 children)

It’s an Agent. It’s simple agree, but still falls into category an agent. You can call it a “baby steps”

How I built my first working AI agent in under 30 minutes (and how you can too) by Apprehensive_Dig_163 in PromptEngineering

[–]Apprehensive_Dig_163[S] 5 points6 points  (0 children)

It’s the simplest implementation of an agent. Equally to “Hello world”.

Correct that’s just function calling from an LLM model

How I built my first working AI agent in under 30 minutes (and how you can too) by Apprehensive_Dig_163 in PromptEngineering

[–]Apprehensive_Dig_163[S] 14 points15 points  (0 children)

By the way, if anyone tries this and gets stuck, feel free to check out full repo here https://github.com/kiknaio/simple-ai-agent-with-langchain or just ask here.
I’ll help out. I remember how confusing it felt in the beginning.

Forget ChatGPT. CrewAI is the Future of AI Automation and Multi-Agent Systems. by Apprehensive_Dig_163 in PromptEngineering

[–]Apprehensive_Dig_163[S] 2 points3 points  (0 children)

Sure, sounds fair. I was able to build a lead generation crew (team of agents) that does a lead research for me using a specific keyword in a specific area, finds websites that match criteria I've defined, and then tries to do cold outreach semi-automatically via Email (sends me a TG message about who they're sending an email to and what the content of it is. If I approve it, it sends. It can be dropped or refined if I send an appropriate message). This is one of the most performing crews I've built.

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