Pick a path. Walk it at your own pace.
Each roadmap is a step-by-step trek through real skills, real projects, and the resources that actually moved us forward.
Data Analyst
SQL, Excel, Python, Tableau, Power BI, statistics, and the storytelling skills that turn raw data into decisions. The complete path from beginner to senior analyst.
AI and Data Scientist
Classical ML to generative AI. Statistics, Python, deep learning, NLP, LLMs, RAG, computer vision, and production ML systems. The unified path for the modern AI/DS role.
Backend Developer
APIs, databases, auth, caching, queues, and the architecture skills that power every product. Language-agnostic principles with Node.js and Python examples.
Full Stack Developer
HTML to deployment. Frontend with React, backend with Node.js, databases, auth, testing, and the end-to-end thinking that makes full-stack engineers valuable.
DevSecOps Engineer
Bake security into every stage of the software delivery lifecycle. SAST, DAST, secrets management, container hardening, supply chain security, and compliance-as-code.
Data Engineer
Build the infrastructure that powers data teams. SQL, Python, Spark, Kafka, Airflow, cloud data warehouses, and the architecture of modern data lakehouses.
A trek, not a checklist.
Three principles that shape every roadmap and post we publish.
Curated, not exhaustive
A working engineer doesn't need 200 links. We pick the few that compound — the ones that change how you think about the next ten problems.
Projects over passive reading
Every stage ends in something you can show: a deployed service, a model card, a security audit, a passing test suite. Skills are built, not collected.
Written by people who shipped it
No course-mill copy. Every roadmap is authored and reviewed by practitioners who've shipped the thing in production, with their names and battle scars attached.
Notes from the field.
Career strategy, technical deep-dives, hiring patterns, and honest takes from working engineers.
The AI Engineer job market in 2026: who's actually hiring, and for what
We pulled 4,200 AI engineering listings across the last six months and untangled the ten role archetypes hiding behind the same job title. Plus what each one actually pays.
RAG isn't a system, it's a 12-stage failure surface
Where retrieval pipelines actually break in production, and the eval harness that catches it before users do.
The 2026 Python tooling stack we actually use
uv, ruff, ty, pytest. What replaced everything else, and the migration paths that don't break your CI.
Threat modeling for solo founders without a security team
A 90-minute exercise that catches the issues an external audit usually flags first. Templates included.
How to read an engineering job ladder before you take the offer
The five questions that tell you whether a "Senior" role is actually senior, or just inflated to fit the comp band.
Pick a path. Start walking.
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