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14 guides~1.6 hrs totalupdated Oct 20, 2026
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Software Engineer Skills in 2026: What the Job Now Expects

The software engineer skills that get you hired changed in 2026: AI-assisted coding, LLM integration, agent literacy — plus a 6-point self-audit.

Intermediate · 5 min
Tech Career Growth
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14 on this page
Intermediate11 minAI Agent Interview Questions (2026): Strong vs Weak Answers AI agent interview questions with strong vs weak answers: the agent loop, tool failures, loop guards, memory, evaluation and when not to use an agent.Intermediate9 minLLM Evaluation Interview Questions (2026): Strong vs Weak Answers LLM evaluation interview questions with strong vs weak answers: golden sets, graders, LLM judges, pass@k vs pass^k, CI gates and drift, with follow-ups.Intermediate14 minLLM System Design Interview: The Five-Layer Answer (2026) Updated 24 OctLLM system design interview prep: a five-layer answer, capacity math to do aloud, weak vs strong answers, and a practice exercise with a worked solution.Intermediate10 minRAG Interview Questions & Answers (2026): Strong vs Weak Updated 16 OctRAG interview questions with strong vs weak answers: a 5-step framework, one worked example, and the follow-ups interviewers use to catch memorized answers.Intermediate4 minLLM Structured Outputs: Validated JSON in Python (2026) Get structured outputs from LLMs in Python: validated JSON, not fragile parsing — with Pydantic, OpenAI Structured Outputs, and instructor. Runnable code.Intermediate6 minOpenAI Agents SDK Tutorial: Build an Agent in Python (2026) Build your first AI agent with the OpenAI Agents SDK in Python: tools, structured output, handoffs, and memory — with runnable 2026 code and common pitfalls.Intermediate5 minAI Engineer Interview Questions (2026): RAG & Agents A 2026 playbook of AI engineer interview questions by round: RAG, agents, LLM system design, and evals, with what each really tests and how to answer.Intermediate6 minAI Agent Memory Architecture: A 2026 Guide AI agent memory for architects: the three long-term types, the write-recall-forget lifecycle, where it breaks, and when an agent needs no memory at all.Intermediate5 minContext Engineering Architecture: A 2026 Guide Corrected 16 OctContext engineering for architects: treat the context window as RAM on a token budget — what fills it, where it breaks, and when a plain prompt wins.Beginner7 minWhat Is RAG in AI? A Practical Developer’s Guide (2026) Updated 16 OctWhat is RAG? A developer's guide to retrieval-augmented generation: why LLMs need it, the retrieve-augment-generate loop, and a runnable RAG in 25 lines.Beginner5 minAI Agent vs Workflow: What’s the Actual Difference? (2026) AI agent vs workflow, settled: one question tells you which you have. It comes down to who decides the next step, your code or the model, with code examples.Beginner6 minPython for AI Agents: The Basics to Read the Code (Part 0) The Python for AI agents you actually need to read the code: dicts, functions, type hints, loops, async, and setup — explained simply for beginners.Beginner6 minCall an LLM in Python: The First Building Block of an Agent Call an LLM in Python with real OpenAI and Anthropic code: system vs user prompts, temperature, JSON output, and why one call isn't yet an agent.

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