Input Gtd on AI Engineering and Architecture

Context Engineering (to review)

Mon, 01 Jan 0001 00:00:00 +0000

After a few years of prompt engineering being the focus of attention in applied AI, a new term has come to prominence: context engineering. Building with language models is becoming less about finding the right words and phrases for your prompts, and more about answering the broader question of “what configuration of context is most likely to generate our model’s desired behavior?”

In Harnes Building

Mon, 01 Jan 0001 00:00:00 +0000

Harness-Building for Coding Agents

Executive summary

Recent writing by Martin Fowler, LangChain, OpenAI, GitHub, Anthropic, and open-source coding-agent projects converges on the same broad intuition: a coding agent is not just a model. It is a model embedded in a system of prompts, tools, files, plans, approvals, execution environments, and feedback loops.¹²³

to review

Mon, 01 Jan 0001 00:00:00 +0000

Current coding agents have clearly improved at producing locally correct code. There is still weak evidence that they can autonomously perform the full production software-engineering job.