~/portfolio $ whoami

Jakub Śledzikowski JavaScript Master & AI Engineer

14+ years of programming. 10M+ lines of my own code. 6B+ tokens used. Zero npm installs. I've been building everything from scratch since 2012 — because it's faster, safer, and simply better. Every framework is technical debt waiting to explode. I prefer control.

years
14+
lines of code
10M+
tokens used
6B+
npm installs
0
01 /

About /* me */

I've been writing JavaScript for 14+ years — since 2012 from scratch, without npm, without frameworks, without boilerplate generators. Over four years ago I stopped installing any external package and built my own ecosystem: 30+ custom Node libraries (xdSrv, xdB, xdFiles, xdToken, xdRender, xdReq and more) that power everything I ship.

My philosophy crystallized into three words: simpler, faster, more robust. Every external dependency is a security hole you can't control. Every framework is an abstraction you still have to understand to debug. Vanilla JS works everywhere — and always.

Today I focus on AI and Prompt Engineering. ~6 billion tokens used, production pipelines with a 95% success rate, a personal LLM client (LLMHUB) that nearly replaced my IDE, and a fully autonomous coder (xdCode). If you want something that still works 10 years from now — we should talk.

02 /

Chat with AI

jSle Assistant

Available Online
03 /

Selected projects

04 /

My skills

Everything I wanted, I built myself — and that's exactly why I know it inside out. This approach accelerated my learning and gave me knowledge few possess.

Front-End Mastery

HTML5, CSS3 (Flexbox, Grid, Animations, Variables), Vanilla JavaScript (ES2023+). 14+ years writing JS every day.

  • HTML5
  • CSS3
  • JS
  • WebGL

Back-End Architecture

Node.js (9+ years), own libraries (xdSrv, xdReq, xdFiles, xdToken…), WebSockets, SSE, JWT, Crypto. No npm.

  • Node
  • xdSrv
  • WS
  • JWT

AI / Prompt Engineering

Multi-model integration (200+ models, 11 providers via callAI), RAG, agents, memory systems, 95% pipeline success rate.

  • Multi-model
  • Prompts
  • RAG
  • Agents

Prompt Engineering Excellence

"If you want to use AI like everyone else, mediocrely — don't learn from me."

Advanced prompt design, context management by relevance and size (own system), multi-phase research automation — ~6 000 000 000 tokens used in production.

Systems & DevOps

Linux (Debian), Docker, Git, CI/CD, server management, security (OWASP), VPS orchestration, performance optimization.

  • Linux
  • Docker
  • Git
  • CI/CD

Data & Realtime

Custom JSON database (xdB) with relational capabilities, WebSockets, SSE, computer vision, image processing.

  • xdB
  • Realtime
  • SSE
  • CV
05 /

Let's get in touch

✓ Message queued. I'll reply to you soon at jakub@jsle.eu.