Lessons Learned While Learning AgentScope
Closing out this series' look at AgentScope, it's worth stepping back from the individual architectural pieces — messages, memory, tools, multi-agent coordination — and pulling together the broader lessons that tend to matter most when actually learning and applying the...
Common Python Errors in AI Projects
AI code breaks in predictable ways. Here are the traps that waste hours, with the fixes that save them. 1. Mutable Default Arguments # WRONG: All calls share the same list def predict(inputs, cache=[]): cache.append(inputs) return model(inputs) # RIGHT: Fresh list every call...
Python Project Structure for GenAI
A messy GenAI project becomes unmaintainable fast. Prompts scattered in notebooks, API keys hardcoded, and no separation between inference logic and business code. Here's a structure that scales. The Layout genai-app/ ├── src/ │ ├── __init__.py │ ├── config.py # Centralized...
Building Reliable LLM Prompts
This series has covered dozens of individual techniques and concepts — structure, examples, chain-of-thought, sampling parameters, testing, versioning, context engineering. "Reliability" is really the thread tying all of it together: not just getting a good response once, but...
Reusable Prompt Templates
Somewhere between "type a fresh prompt every time" and "build a full internal prompt library," most people and teams land on the same practical habit: taking a prompt that worked well once and turning it into something they can use again and again, with just the details...
How to Write Better AI Prompts
This series has covered a lot of ground — tokens, transformers, sampling parameters, chain-of-thought, structured output. But if you just want the practical takeaway — how do you actually write a better prompt, right now, without needing to think about attention mechanisms —...
Common Prompt Engineering Mistakes
Most disappointing AI outputs aren't the model's fault so much as the prompt's. After covering a whole toolkit of techniques throughout this series — roles, examples, structure, chain-of-thought, sampling controls — it's worth flipping the lens: what are the recurring...