Zukko Blog
Guides to Claude Code, Cursor, Codex and the Claude and GPT APIs: setup, token savings and troubleshooting.
An MCP server for 1C: giving an agent your configuration metadata
6 min · · агенты
Without MCP the model invents attributes your configuration does not have. We show what an MCP server for 1C provides, how to install mcp-1c and connect an agent through a gateway.
Marketplace product cards with AI: title, attributes and texts
5 min · · бизнес
The whole text part of a product card and a script that builds it from a product table. At the end, what it costs to run 1000 SKUs.
Flowise vs n8n: LLM chains or process automation
6 min · · автоматизация
Flowise builds chains and agents around a model, n8n connects services on a schedule or an event. We show setup, model connection and a cost estimate.
Cursor AI: what this editor is and what it can do in 2026
6 min · · IDE
Cursor is a code editor with an AI agent, chat and autocomplete. We explain what it consists of, how it differs from plain VS Code and when to connect your own key.
Translating PDFs from English to Russian with AI: text, tables, formulas
5 min · · автоматизация
A working PDF translation pipeline: extract the text, split it, translate with a glossary and assemble the result. What 100 pages cost.
Paying for AI models in Russia: which methods work and how they differ
5 min · · payments
A subscription, per-token payment through a gateway, SBP, crypto or MasterCard: what exactly you buy with each method, the fees and the minimum amounts.
An AI model to write website code: from mockup to a working page
5 min · · development
An agent can build a one-page site in one session if you brief it well and check the result in a browser. The process and the price, step by step.
LangChain vs LangGraph: when you need chains and when you need a graph
5 min · · development
LangGraph does not compete with LangChain, it sits underneath. We cover when a chain or create_agent is enough, when you need a stateful graph, with code on one model.
Function calling: how an agent works with external systems
5 min · · агенты
The model calls nothing itself: it only asks your program to run a function. The whole loop step by step, with Python code and a price estimate.
LlamaIndex vs LangChain: what to pick for RAG and agents in 2026
5 min · · development
Both libraries do RAG and agents but grow from different ideas. We compare the approaches, show minimal code with one model and price a request.
OpenAI API key: what it is and how it differs from ChatGPT
5 min · · API keys
An API key is a secret string that tells the service who is calling and whose balance to charge for tokens. Here is how it differs from a ChatGPT account.
AI models without a VPN: using Claude, GPT and Gemini from Russia
5 min · · payments
Why official services demand a foreign network and payment, and which options work without that: a browser chat and an API. Checking access takes five minutes.
LLM integration in Laravel: HTTP client, service, streaming and queues
4 min · · development
Connecting a model to Laravel without third-party packages: the Http facade, a service class, a streaming response, background jobs with retries and Http::fake tests. With 401–503 errors explained.
Caching LLM responses in Redis: stop paying for repeated requests
6 min · · development
Zukko already serves an identical repeated request from cache for free. Here is when that is not enough and you need your own Redis: input normalization, long TTL, prompt versions, redis-py code.
Writing technical specs with AI: process, prompt, template
6 min · · development
A good spec from a model is the result of a good interview. Prompts for each step, API code, common mistakes and a checklist before handing it to a developer.
How AI writes Excel formulas: generating them from a task description
5 min · · автоматизация
Describe what you need to calculate and the model returns a ready formula. We cover the prompt, Russian and English function names, argument separators and testing on sample data.
GLM-5.3-Flash vs GPT-5.6-Luna: the Cheapest Models in the API
5 min · · сравнение
The two cheapest models on Zukko differ in price, context window, and /v1/responses support. We do the cost math and show how to compare them on your data.
Calculating an AI Budget for a Developer Team
6 min · · payments
Pay-per-token is not always cheaper: volume decides. Here is how to measure usage in a pilot, calculate a month for the team, and find the line versus a subscription.
Summarizing Long Documents: Map-Reduce or a 1M Context Window
6 min · · development
Map-reduce is for documents that do not fit the context window or need parallelism, not for saving money. Both approaches with code and cost math.
Auto-Documenting Code with AI: Docstrings, README and CI
4 min · · development
A Python script finds functions without docstrings, asks a model to describe them, and inserts the text into the code safely. Plus pre-commit and CI setup.
Generating Commit Messages from a Diff with AI
5 min · · development
A prepare-commit-msg hook and a Python script that draft a Conventional Commits message from the staged diff. You edit it in your editor as usual.
Translating i18n Files with AI Without Breaking Placeholders
6 min · · development
A script that translates i18n files via API, keeps {name}, %s and ICU forms intact, and flags suspicious strings for manual review.
Few-shot prompting: examples in the request instead of long explanations
5 min · · development
Few-shot means a few examples of the right answer placed directly in the prompt. When it helps, how to format examples, and how to check whether they pay off.
10 prompts for programmers: from code review to database migrations
3 min · · development
Ten prompt templates for everyday developer tasks. Plug in your code and send it through the API: Python code, a cost estimate, and wording tips.