Here’s the latest installment in the series on working with LLMS: https://thenewstack.io/code-in-context-how-ai-can-help-improve-our-documentation/.
Writing documentation from scratch is as uncommon as writing code from scratch. More typically, you’re updating or expanding or refactoring existing docs. My expectation was that an LLM-powered tool primed with both code and documentation could provide a powerful assist, and Unblocked did.
I don’t know how to measure the boost it gave me. But I do know that I’ll never again want to undertake this kind of project without a tool that can help me assemble the necessary context.
The rest of the series:
1 When the rubber duck talks back
2 Radical just-in-time learning
3 Why LLM-assisted table transformation is a big deal
4 Using LLM-Assisted Coding to Write a Custom Template Function
5 Elevating the Conversation with LLM Assistants
6 How Large Language Models Assisted a Website Makeover
7 Should LLMs Write Marketing Copy?
8 Test-Driven Development with LLMs: Never Trust, Always Verify
9 Learning While Coding: How LLMs Teach You Implicitly
10 How LLMs Helped Me Build an ODBC Plugin for Steampipe
11 How to Use LLMs for Dynamic Documentation
12 Let’s talk: conversational software development
13 Using LLMs to Improve SQL Queries
14 Puzzling over the Postgres Query Planner with LLMs
15 7 Guiding Principles for Working with LLMs
16 Learn by Doing: How LLMs Should Reshape Education
