GuidesUsing an LLM to Generate and Edit Config Files
Config generation is one of the safest LLM tasks if you supply the schema and validate mechanically. How to set it up, and the plausible-key failure mode to guard against.
ReadNotes on models, agents, and what inference costs
Practical writing for developers building with large language models — how they work, how to pick one, and how to keep the bill predictable.
Hands-on setup for the tools developers actually use.
Guides
GuidesUsing LangChain With Any OpenAI-Compatible Endpoint
Point LangChain at a non-OpenAI base URL, keep tool calling and streaming working, and know which abstractions quietly assume the official API.
ReadGuidesVercel AI SDK: Wiring Up a Custom OpenAI-Compatible Provider
Point the AI SDK at your own base URL, stream to a React client, keep tool calls working, and avoid the edge runtime traps that break streaming in production.
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GuidesVS Code LLM Extension Setup: Custom Endpoints That Work
A provider-agnostic guide to wiring any VS Code AI extension to your own endpoint — where settings live, what the extension cannot infer, and how to debug it.
ReadGuidesWindsurf Setup Guide: Custom Models and the BYOK Question
What Windsurf needs to talk to a model you chose, how to find the provider settings in your build, and the local proxy fallback when there is no slot for one.
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GuidesWriting Database Migration Scripts With an LLM
How to use a model for schema and data migrations safely: supply both schemas, demand reversibility, verify with dry runs and row counts, and know what not to delegate.
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GuidesZed Setup Guide: Wiring Up a Custom Model Endpoint
Point Zed's agent panel at any OpenAI-compatible endpoint — the JSON provider block, the model metadata you have to declare yourself, and how to verify it.
ReadGuidesAider Setup Guide: Any OpenAI-Compatible Endpoint
Configure Aider against a custom base URL — the openai/ prefix, .aider.conf.yml, model metadata for unknown models, and picking the right edit format.
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GuidesAutomating Code Review With LLMs Without Drowning in Noise
Automated review fails on precision, not capability. How to budget comments, give the model the context a diff omits, and measure whether anyone is acting on the output.
ReadGuidesBuilding a Chatbot From Scratch: The Parts Nobody Mentions
The model call is twenty lines. The other ninety percent is conversation state, idempotency, abuse limits and knowing when a reply was wrong. A build order that works.
ReadGuidesChoosing an AI Provider: The Questions to Ask
A checklist of the questions that separate providers you can plan around from ones you cannot, covering model transparency, limits, compatibility and exit terms.
ReadGuidesCline Setup Guide: Pointing It at a Custom Endpoint
Configure Cline against any OpenAI-compatible base URL — the provider fields, the model configuration block that people skip, and separate Plan and Act models.
ReadShowing 49–60 of 77 articles