#Context Engineering
4 articles
Development Process
2026-07-28
Context Engineering
A review of Context Engineering. It focuses on how to design the context you give an LLM. Beyond wording prompts, it covers choosing and structuring the information you pass in and combining it with retrieval and memory. Closely tied to the challenges of building RAG and agents, it offers a perspective for lifting ad hoc tweaks into reproducible engineering.
#Book Review#Context Engineering#Generative AI
Architecture
2026-02-25
Engineering in the AI Era: Evolution from Prompts to Autonomous Systems
Master Prompt as Code, PromptOps, LLM-as-Judge evaluation, Context Engineering, and Agentic Engineering for AI.
#LLM as Judge#Prompt as Code#Prompt Ops#Context Engineering#Prompt Engineering#Continuous AI
Architecture
2026-02-25
Considering Engineering in the Age of AI
Establish prompt governance with Golden Dataset validation, LLM-as-Judge evaluation, and prompt injection security.
#LLM as Judge#Prompt as Code#Prompt Ops#Context Engineering#Prompt Engineering#Continuous AI
Architecture
2026-02-25
LLM Prompt Management and Evaluation Platform Using GitHub Agentic Workflow
Manage LLM prompts as code using GitHub Agentic Workflows: Copilot-powered automation with golden datasets and evaluation.
#LLM as Judge#Prompt as Code#Prompt Ops#Context Engineering#Prompt Engineering#Continuous AI