Guides to Claude Code, Cursor, Codex and the Claude and GPT APIs: setup, token savings and troubleshooting.
5 min · · development
How to get a map of an unfamiliar codebase in an evening: prompts for modules and entry points, checking answers against file references, and cost with and without cache.
5 min · · development
Fix quality depends on what you show the model. The data to include about the error, a prompt template, asking for a minimal diff, and verifying with a test.
5 min · · development
Codex connects MCP servers through the codex mcp add command or tables in config.toml. Both ways, how to verify, and how many tokens tool descriptions use.
5 min · · development
A model writes regex fast but errs confidently on edge cases. A request with examples, an auto-check loop and protection against hangs.
4 min · · автоматизация
Do not send gigabytes of logs to a model. Filter, group by templates, ask for hypotheses tied to lines and verify them. Code and price estimate inside.
5 min · · автоматизация
A model drafts configs and reads logs well, but must not hold production rights. Tasks, safe boundaries and a sample script.
4 min · · development
How to point ChatOpenAI from LangChain.js at the Zukko gateway: one baseURL setting, streaming, tool calls and a spend check.
5 min · · IDE
Two ways to get Qwen in your editor: the official Companion for Qwen Code, or the Cline, Kilo Code and Continue extensions with an OpenAI-compatible key.
6 min · · IDE
The plugin does not bundle Claude Code. It launches the console agent in the IDE terminal. Install, gateway key, diffs and common failures explained.
5 min · · development
AI translates code between languages quickly, but it will not preserve behaviour on its own. A module migration plan with reference tests and comparison.
5 min · · development
How to choose chunk size and overlap in RecursiveCharacterTextSplitter, why you should count in tokens and how to check the count against an exact token number.
5 min · · агенты
MCP servers give an agent ready-made tools, and adapters turn them into LangChain tools. The current approach, running on models through an OpenAI-compatible gateway.
5 min · · агенты
An agent does not suggest the next line, it runs a task in a loop: read, edit, run, check. How it works, which tools exist and what an hour costs via API.
5 min · · development
One full pass with Claude Code, from writing the task to the commit. How to read the diff, undo edits and keep token spend under control.
5 min · · development
We build a simple RAG with LangChain: documents, chunks, vector search and a model answer via a gateway. We count what a question costs and trim wasted tokens.
5 min · · агенты
Deep Agents is a ready-made harness on top of LangChain: files, subagents, context summarization. What is inside, how to run it via a gateway and what it costs.
5 min · · автоматизация
Scientific text breaks where ordinary translation goes smoothly: formulas, terms, references. A pipeline with formula protection, a glossary and checks, and what it costs.
4 min · · сравнение
ChatOllama runs a model on your machine, ChatOpenAI with a gateway base_url calls a cloud one. We write the code once and switch with environment variables.
5 min · · development
We give no ranking of the best model for C#, but we show how to compare options by price and index, set up an agent for .NET and verify the result with builds and tests.
5 min · · development
In a Java project an agent is valuable while it leaves your architecture and dependencies alone. Rules, build commands, test generation and a cost estimate.
5 min · · models
Opus 4.6, 4.7 and 4.8 are the previous generation, and the catalogue now has Opus 5 and 5.5. A four-step migration plan: model id, your own prompts, cost comparison, rollback.
5 min · · development
C++ forgives a model a lot at compile time and punishes it later. How to build a build, test and sanitizer loop for an agent and what it costs on different models.
6 min · · агенты
Claude Code understands Russian but answers in whatever language your instructions set. Where to put the language rule, what not to translate and what it costs in tokens.
6 min · · development
Schema, sample data and a query plan in the request to the model, an EXPLAIN check and read-only access. Working Python code and a cost estimate.