Coding Agent Architect Foundation Course
10 modules · 50 questions · 80% to pass · Complete the test to earn your certificate.
Curriculum
1. Introduction to Coding Agents
Definition, history, and taxonomy of autonomous coding agents. Reactive vs. deliberative architectures. The spectrum from autocomplete to autonomous engineering.
2. Agent Architectures
Monolithic vs. modular agents. Tool-use patterns: function calling, MCP, and custom tool registries. Memory, context windows, and state management strategies.
3. Planning & Reasoning
Chain-of-thought, ReAct, and Tree-of-Thought patterns. Task decomposition, subgoal management, and iterative refinement. When to plan vs. when to act.
4. Tool Execution & Sandboxing
Shell execution, file I/O, browser control, and search. Permission models, approval gates, and sandboxed environments. Security considerations for agentic tool use.
5. Multi-Agent Systems
Worker delegation, team-mode review, and supervisor loops. Communication patterns between agents. Conflict resolution and consensus building.
6. Evaluation & Benchmarking
SWE-bench, HumanEval, Terminal-Bench, and custom evals. Metrics: pass rate, rounds, token cost, wall-clock time. Building reproducible evaluation pipelines.
7. Error Recovery & Resilience
Automatic retry, checkpointing, and state rollback. Handling API failures, tool errors, and hallucinated outputs. Graceful degradation strategies.
8. Production Deployment
Gateway daemons, session persistence, and channel routing (Slack/Discord/Telegram). Scaling agents horizontally. Monitoring, logging, and alerting.
9. Safety & Alignment
Prompt injection prevention, approval gates, rate limiting, and audit trails. Responsible capability scaling. Red-teaming agentic systems.
10. Future Directions
Self-improving agents, tool-creating agents, and agent swarms. Open challenges in long-horizon planning, credit assignment, and value alignment.
Final Assessment
Answer all 50 questions. Each correct answer is worth 2 points. Minimum passing score: 80% (40/50 correct).