GuidesUsing an LLM for Database Schema Design, Carefully
A model will produce a plausible schema in seconds. Plausible is the problem. How to brief it with queries, review the parts it gets wrong, and keep migrations safe.
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.
Guides
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.
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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.
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Cost & PricingVendor Lock-In Costs: Measure It Instead of Fearing It
The HTTP call is trivially portable. Prompt tuning, tool-call formats, evaluation baselines and caching semantics are not. How to measure and contain the expensive parts.
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ModelsVendor-Claimed vs Independent Benchmarks: Reading Both
A launch-post score and a third-party score measure different things. Where the gap comes from, and how to normalise figures before you compare them.
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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AI AgentsVerifier Agents: Gating Completion on a Check That Passes
The most reliable agent improvement is refusing to accept completion until something verifies it. How to build a verifier that is worth trusting.
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ModelsVision-Language Models: What to Test Before You Commit
Native image input is now common in open-weight models, but published multimodal benchmarks predict almost nothing. Three probes that separate them.
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FundamentalsVocabulary Size Trade-offs in Language Model Tokenizers
A bigger vocabulary shortens sequences and costs parameters and rare-token quality. What the dial actually controls and how it reaches your bill.
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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.
ReadCost & PricingWhat a Model Upgrade Costs Beyond the Per-Token Rate
A newer model at a lower rate can still raise your monthly bill. Regression testing, prompt drift, output length and tool-call changes are where the cost actually lands.
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ModelsWhen to Switch Models: A Threshold Worth Crossing
New models ship constantly and switching is never free. The signals that justify a migration, the ones that do not, and how to run the decision.
ReadShowing 613–624 of 731 articles