Backend engineering, taught as a connected path
Learn backend engineering by following a roadmap, reading the guide, then practicing the idea.
Codefarm helps you move from scattered study to durable understanding across system design, Java, Spring Boot, and Kafka.
A simpler way to learn
Use the same rhythm for every topic so each page has a clear next step.
From the Codefarm blog
Recent write-ups on backend engineering, straight from this site.
JDK 27: Four Zero-Code Wins, Headlined by Post-Quantum TLS
JDK 27 ships September 15, 2026. Four final JEPs change every Java process with zero code changes — headlined by post-quantum TLS. Here's what matters.
Oracle Layoffs and the New Reality of Job Security in the AI Era
Oracle cut thousands of jobs while cloud revenue soared. Explore why layoffs are rising in the AI era, what job security means today, and how engineers can build career resilience.
Model Context Protocol (MCP) Explained: How AI Agents Actually Connect to Your Systems
MCP went from an Anthropic open-source release in late 2024 to the industry standard for connecting LLMs to tools and data. Here is how the protocol actually works — hosts, clients, servers, tools, resources, prompts — why OpenAI and Google adopted it, and what to watch out for before exposing your systems to an agent.
Start here
Begin with the foundational guides every backend learner needs.
Networking Basics
OSI, DNS, TCP, and what really happens when you type a URL.
Client-Server Architecture
REST, statelessness, HTTP methods, and clean API thinking.
Basic System Concepts
Latency, throughput, scaling, load balancing, and caching.
Databases
SQL vs NoSQL, indexing, transactions, and ACID properties.
New: Applied AI Engineering guides
From transformer internals to production-grade agents — a 9-phase roadmap for building on LLMs.
Transformers & Attention, Explained Without the Math
How self-attention works and why every modern chat model is a decoder-only Transformer stack.
Pre-training, Post-training & Inference
The three-stage model lifecycle — and the actual, mechanical reason LLMs hallucinate.
The RAG Pipeline
Ingest, chunk, embed, index, retrieve — how to ground a model's answers in real, citable documents.
ReAct & Reasoning Loops
The Thinking-Acting-Observing loop that makes an agent's tool use reliable.
Practice after learning
The site is built for active recall and visual intuition, not just reading.
Your learning dashboard
Start exploring roadmaps, taking quizzes, and bookmarking content to see your progress here.
New: Interview Playground
Crack the coding round with curated DSA problems
45 problems tagged by company, topic, and difficulty — solved right in the browser with a built-in Java compiler, then checked against clean solutions.
Latest from My Medium Blog
Fresh insights on backend development, system design, and engineering
Watch when video helps
Video lessons support the roadmap; the structured path still lives on Codefarm.
Ready to build real momentum?
Start with one roadmap, keep the guide beside it, and practice before moving on.