Knowledge base
Practical resources and guides on AI tools, technology, and software development.
What is an AI agent: how does it differ from a chatbot and from a script
Dissection of the agent device in parts: model, tools, loop and stopping condition. Where is the border between a chatbot and a script, how to assemble a minimal cycle and what to look at to understand whether it works or coincides.
Claude Code: how to install on macOS, Windows and Linux
Installing an agent in the terminal: three delivery channels, logging into your account, rights to files and bash, some fiddling around on Windows and checking that everything is installed correctly.
Claude Code: terminal agent for working with code
The agent lives in the terminal next to the working copy: it searches for files by content, edits them, runs tests and shows diff. An analysis of the mechanics, permissions, context and where the tool is dangerous.
Playwright: Browser automation without manual clicks
The library launches real Chromium, Firefox or WebKit and goes through the script through the code: login, form, report upload. Analysis of mechanics - contexts, locators, auto-waiting, routes - and the boundaries beyond which an idea is more expensive than manual work.
Examples of AI agents: what tasks are given to them and how each one works inside
Seven standard agents - support, analytics over the database, error duty officer, documents, resource, content, orchestrator. For each: input, tools, output, weak point and metric.
Incoming email: from message to draft task
The mailbox collects clients, invoices, notifications and mailings into one pile, and tasks in the tracker live without a link to the letter. Analysis of mechanics: deterministic rules, analysis scheme, draft card, idempotency by thread.
Vector search: why it is needed and when it is not needed
Embeddings, document slicing, ANN indexes and a hybrid with full-text search - the whole mechanics. Separately: a list of tasks where a vector is inferior to a regular word search, and how to measure this on your corpus.
Claude Code: subscription, API key and cloud - what makes up access
What do they actually pay for, how does a subscription differ from payment by tokens, how to switch schemes and why money is debited when the subscription has already been paid.
Cursor: editor with a model inside
Fork of VS Code, where addon, inline edit and multi-file agent run in one window on top of the codebase index. Analysis of Tab, rules, indexing and what you have to pay.
AI agents for programming: what they really speed up in code
How the agent works with access to files, tests and git, what tasks it completes faster than a human, where it creates more work than it saves, and how to check its edits.
How to create an AI agent: from task description to working version
Step-by-step assembly route: task contract, cutting into tools, access rights, prompt, loop with limits, set of checks and gradual transfer of autonomy. With loop code and check file format.
Notion as a data source for the site
The Notion database sends page properties and a tree of blocks via the API, the site takes them in the assembly and turns them into static pages. Analysis of the pipeline, pitfalls with expiring links to images and request limits.