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AlexKlim/README.md

Aliaksandr Klimiankou

I publish here as Alex Klimenkov.

Engineering Manager at Jitera, based in Gdansk, Poland. Sixteen years in software, the last ten of them leading engineering teams.

What I work on

AI systems that run inside an organisation's own infrastructure.

A lot of organisations hold material they are not allowed to send to an outside service: regulated records, customer data, and the internal discussions that are never written down anywhere. My work is about making that material usable by AI systems without it leaving the organisation that owns it.

At Jitera I led the work that made our AI agent platform installable and operable inside a customer's own environment. Before that I spent seven and a half years at Craft.co, a United States supply chain intelligence company, where I joined as the second engineer and built the data platform the product runs on.

A note on what is not here

The code I write and review at work is in private repositories, so none of it appears on this page as source. Since February 2024 I have reviewed more than a thousand pull requests in Jitera's repositories, and I wrote the company's code review standard and its development workflow.

Things I build on my own

Jiterka - a prototype desktop application that records a meeting, transcribes it, separates the speakers, cleans up the transcript and produces a summary. Speaker diarization runs as a local service rather than through an external provider, which is the same constraint the rest of my work is aimed at. Built over six days in November 2025.

Wave Terminal fork - I built an Excalidraw diagram editor into Wave Terminal, an open source terminal with around 21,000 stars on GitHub, as a native block with its own wsh command, and replaced its hardcoded keyboard shortcuts with a configurable keybinding system defined in keybindings.json. Around 2400 lines across Go and TypeScript, with tests.

memorizable - a command line tool, published on npm, that captures AI-assisted coding sessions and keeps a running summary of what was decided and why. The same idea as Jiterka applied to a different kind of conversation: knowledge that is produced in passing and then lost.

allcollate - a hotel price comparison service I built with a friend from 2020. Ruby on Rails, React, PostgreSQL, Elasticsearch, on AWS. It imported hotel listings and kept their price history, so you could tell whether today's price was actually a good one. I no longer host it, but it still runs from the repository.

Writing

I write about engineering management and AI-assisted development on Medium.

Elsewhere

LinkedIn

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  1. Jiterka Jiterka Public

    Prototype desktop app that records a meeting, transcribes it, separates the speakers and summarises it. All audio processing runs locally.

    Swift

  2. waveterm waveterm Public

    Forked from wavetermdev/waveterm

    My fork of Wave Terminal. I use it to build additions to the terminal and propose them upstream. Currently an Excalidraw diagram block and a configurable keybinding system.

    Go

  3. memorizable memorizable Public

    Captures AI-assisted coding sessions and keeps a running summary of what was decided and why. Published on npm.

    TypeScript

  4. allcollate allcollate Public

    Hotel search that kept the price history, not just today's rate. Rails, React, PostgreSQL, Elasticsearch.

    SCSS 1

  5. autotest-email autotest-email Public

    A Ruby library that gives automated tests a mailbox to assert against.

    Ruby 1 4

  6. cucumber-helper cucumber-helper Public

    A Cucumber progress bar that prints failures as they happen, plus a check that fails a step the moment an error page appears. Ruby, 2013.

    Ruby 1