Part 19: CI/CD Pipelines - GitHub Actions Mastery
Master YAML schemas, matrix build scaling, dependency caching, secure OIDC authentication, deployment environment gates, and monorepo path filters. Complete 30-resource blueprint.
Career GuideThe desk / continuation
Blog
Dispatches 133–143 of 476; page 12 of 40.
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Dev Career Guide -
Dev Career Guide Part 20: Modern Frontend - React, Astro & Tailwind CSS
Master Astro Islands, partial hydration, Tailwind theme variables, Nanostores cross-island state sharing, TanStack Query v5 caching, and Pagefind client indexing. Complete 30-resource blueprint.
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Dev Career Guide Part 21: Generative AI Fundamentals - LLMs, Embeddings & Vector Spaces
Understand transformer architecture, tokenization, temperature, embeddings, cosine similarity, and vector math behind large language models.
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Dev Career Guide Part 22: Vector Databases - Pinecone, Chroma, Milvus & PGVector
Learn index types (HNSW, IVF), metadata filtering, hybrid search, performance tuning, and managed vs self-hosted vector databases.
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Dev Career Guide Part 23: RAG Architectures - Semantic Retrieval & Knowledge Systems
Master chunking strategies, embedding models, re-ranking (Cohere), hybrid search, contextual compression, and evaluation frameworks for RAG systems.
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Dev Career Guide Part 24: LangChain Foundations - Chains, Prompts & Memory
Learn LangChain chains, prompts, output parsers, memory types, document loaders, text splitters, retrievers, and callbacks for LLM applications.
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Dev Career Guide Part 25: LangGraph - Multi-Agent State Machines & Workflows
Master state graphs, nodes, edges, conditional routing, checkpointing, human-in-the-loop, persistence, and agent orchestration with LangGraph.
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Dev Career Guide Part 26: Multi-Agent Systems & Orchestration Patterns
Learn agent roles, delegation patterns, CrewAI, AutoGen, communication protocols, error handling, and agent memory for orchestrating multiple AI agents.
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Dev Career Guide Part 28: The Resume & Portfolio Overhaul — Escaping the Support Trap with High-Impact Projects
The ultimate guide to transforming a stagnant, support-heavy, or fake-padded resume into a highly competitive, production-grade backend and Generative AI systems developer portfolio. Learn what projects to build from scratch to replace fabricated experience, how to reframe enterprise support (like SAP CPQ and Java training) into scalable engineering narratives, and how to structure your skills, titles, and achievements to survive modern ATS filters and elite technical interviews.
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Dev Career Guide Part 17: Generative AI & Large Language Models (LLM) Integration
Master modern Generative AI engineering. Learn Transformer self-attention math, tokenization mechanics, embedding vector spaces, local runtimes (Ollama/vLLM), and strict JSON structured outputs.
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Dev Career Guide Part 18: Retrieval-Augmented Generation (RAG) & Vector Databases
Master advanced Retrieval-Augmented Generation (RAG). Learn semantic chunking, dense vs. sparse vector retrieval, Reciprocal Rank Fusion (RRF), pgvector HNSW indexing, and reranking pipelines.
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Dev Career Guide Part 19: AI Agents & Advanced Workflows with LangGraph
Master autonomous AI agents. Learn ReAct execution loops, multi-agent network topologies, LangGraph state machines, custom state reducers, and the Model Context Protocol (MCP).
Career Guide