#prompt engineering
8 articles tagged prompt engineering, from AI. Latest: “5 Security Checks Every App Builder Must Run Before Launch”.
5 Security Checks Every App Builder Must Run Before Launch
A practical checklist of 5 AI-assisted security audits — secrets, data flow, production hardening, deep vulnerabilities, and the attacker's perspective.
How I Passed the Claude Certified Architect – Foundations Exam: My Preparation Guide
A first-person prep guide for the CCA Foundations exam — the five domains and weights, what's on the exam, and the tips that made the difference.
Prompt Engineering Best Practices for Enterprise Teams
The prompt engineering techniques enterprise teams ship: system prompts, few-shot examples, RAG grounding, structured output, and iterating with evals.
Context Engineering: The Real Skill Behind Reliable LLM Apps
What you put in the context window matters more than prompt wording. A practical guide to context engineering — the budget, techniques, and failure modes.
Structured Outputs with Claude: Reliable JSON Every Time
Parsing JSON out of prose is a production liability. A practical guide to reliable, schema-conformant structured output from Claude, with Spring AI examples.
Prompt Caching: Cut Your LLM Costs by 80%
A practical guide to Anthropic and OpenAI prompt caching — how it works and how to implement it in Spring AI to cut latency and API costs.
Prompt Engineering Enterprise Guide
A systematic approach to prompt engineering for production AI systems — covering system prompts, chain-of-thought, few-shot design, security, and evaluation.
Fine-tuning vs RAG vs Prompting: How to Choose
Teams reach for fine-tuning when they need RAG, or RAG when a better prompt would do. A decision framework for choosing the right approach by problem type.