myibrahim.cloud

Articles

Notes from shipping AI products and backends

28 practical articles on LLM apps, RAG, backend engineering, DevOps and the craft of working as an engineer — written from production experience, not from the docs.

Vibe Coding

AI-paired engineering. Claude Code, Cursor, agents, prompts.

Editors & Agents The tools that turn an editor into a collaborator.

Workflow & Prompts How to actually drive these tools day-to-day.

AI / ML

LLMs, RAG, embeddings, fine-tuning, evaluation.

Foundations The mental model engineers need before shipping LLM features.

Retrieval & Embeddings RAG, vector search, hybrid retrieval — without hand-waving.

Tuning & Eval Fine-tuning, prompt tuning, and how to know if any of it works.

Operating LLMs Cost, latency, fallback, observability for LLM apps.

Backend

Postgres, Redis, APIs, distributed systems, ops.

Databases Postgres + Redis, the workhorses behind everything.

APIs & Auth Designing and securing your service interface.

Distributed Systems Queues, consensus, idempotency, the things that bite at scale.

Operations Observability, caching, the "how does it run in prod" layer.

Personal Branding

Career, money, freelance, remote, GitHub, networking.

Online Presence LinkedIn, GitHub, blogs, networks — your public surface.

Career & Money Salary, freelance, remote — the engineer's income engine.

Prefer to learn this with me? I train engineers and teams in full-stack, DevOps and AI, one-to-one or in groups.