Archive: 2025/09
Prompt Chaining vs Agentic Planning: Which LLM Pattern Works for Your Task?
Prompt chaining and agentic planning are two ways to make LLMs handle multi-step tasks. One is simple and cheap. The other is powerful but complex. Learn when to use each-and why most teams should start with chaining.
Pair Reviewing with AI: How Human + Machine Code Reviews Boost Maintainability
AI code review tools boost maintainability by catching bugs early, enforcing consistency, and reducing reviewer fatigue. When paired with human judgment, they speed up PRs, cut technical debt, and keep code clean without replacing expertise.
Prompt Hygiene for Factual Tasks: How to Write Clear LLM Instructions That Don’t Lie
Learn how to write precise LLM instructions that prevent hallucinations, block attacks, and ensure factual accuracy. Prompt hygiene isn’t optional - it’s the foundation of reliable AI in high-stakes fields.
NLP Pipelines vs End-to-End LLMs: When to Use Each for Real-World Applications
Learn when to use traditional NLP pipelines versus end-to-end LLMs for real-world applications. Discover cost, speed, and accuracy trade-offs - and why hybrid systems are becoming the industry standard.
