Evidence: Practise the outcome in code and record what you learned.
Current status: Not started
Recommended next:State Machines & Execution Graphs — Carry the LangGraph, State Machines & Execution Graphs mental model into the next step with a concrete transfer exercise.
Core concepts
Stage purpose: Connect the concepts into a repeatable problem-solving model.
Required background: Complete the linked prerequisites below or bring equivalent experience.
Expected outcome: Apply the model to a representative exercise without copying a recipe.
Evidence: Practise the outcome in code and record what you learned.
Current status: Not started
Recommended next:The ReAct Architecture — Carry the State Machines & Execution Graphs mental model into the next step with a concrete transfer exercise.
Evidence: Practise the outcome in code and record what you learned.
Current status: Not started
Recommended next:Context Management & Summarization — Carry the Persistence & Threading mental model into the next step with a concrete transfer exercise.
Evidence: Practise the outcome in code and record what you learned.
Current status: Not started
Recommended next:Guardrails & Execution Bounding — Carry the Context Management & Summarization mental model into the next step with a concrete transfer exercise.
Evidence: Practise the outcome in code and record what you learned.
Current status: Not started
Recommended next:Tool Binding & Execution — Move from bounded model behavior to the concrete contract that lets an agent request and execute tools safely.
Evidence: Practise the outcome in code and record what you learned.
Current status: Not started
Recommended next:The ReAct Agent — Production Loop Safety — Use the tool contract inside a production ReAct loop and add the controls that keep cyclic execution bounded.
Explain the core idea in LangGraph — Agentic Workflows
Apply LangGraph — Agentic Workflows in a representative exercise
Prerequisites: No prerequisite topics
Evidence: Answer aloud, give a concrete example, and identify the relevant trade-off.
Current status: Weak
Recommended next:LangGraph, State Machines & Execution Graphs — Use LangGraph — Agentic Workflows as the setup for the next interview trade-off and explain the connection aloud.
Evidence: Answer aloud, give a concrete example, and identify the relevant trade-off.
Current status: Weak
Recommended next:State Machines & Execution Graphs — Use LangGraph, State Machines & Execution Graphs as the setup for the next interview trade-off and explain the connection aloud.
Frequently asked
Stage purpose: Rehearse implementation choices that invite common follow-up questions.
Required background: Complete the linked prerequisites below or bring equivalent experience.
Expected outcome: Walk through a realistic API decision and defend the trade-offs.
Evidence: Answer aloud, give a concrete example, and identify the relevant trade-off.
Current status: Weak
Recommended next:The ReAct Architecture — Use State Machines & Execution Graphs as the setup for the next interview trade-off and explain the connection aloud.
Evidence: Answer aloud, give a concrete example, and identify the relevant trade-off.
Current status: Weak
Recommended next:Context Management & Summarization — Use Persistence & Threading as the setup for the next interview trade-off and explain the connection aloud.
Evidence: Answer aloud, give a concrete example, and identify the relevant trade-off.
Current status: Weak
Recommended next:Guardrails & Execution Bounding — Use Context Management & Summarization as the setup for the next interview trade-off and explain the connection aloud.
Evidence: Answer aloud, give a concrete example, and identify the relevant trade-off.
Current status: Weak
Recommended next:The ReAct Agent — Production Loop Safety — Follow tool execution with the loop-safety trade-offs interviewers probe in production agent designs.