For developers
Agentic AI as a Part of Software Development
Explore agent workflows, context, evaluation, and the engineering practices needed to use AI in software development.
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Lessons
12 of 40 topics have lessons available today. Choose any available lesson.
- 01
Foundations of Agentic AI
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- 02
Agent Anatomy & Patterns
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- 03
Context Engineering
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- 04
AGENTS.md & CLAUDE.md
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- 05
Prompt Chaining & Parallel Workflows
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- 06
Protocols, Tools & Skills
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- 07
Building & Operating Production Agents
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- 08
Testing & Evaluation
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- 09
Testing Pyramid for Agents
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- 10
LLM-as-Judge & A/B Evals
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- 11
Agents Across the SDLC & Frontier
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- 12
Security & Architecture
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Topics without lessons yet
These are part of the outline. Lessons are not available for them yet.
- LLM + Tools + Memory + Loop
- ReAct Pattern
- Assistance → Autonomy Arc
- Five Context Layers
- Attention Budgets & Failure Modes
- Prompt Chaining Patterns
- Sequential & Router Chains
- Structured Outputs as Glue
- Chain Debugging
- Fan-Out & Fan-In Workflows
- Map-Reduce & Scatter-Gather
- Partial Failure Handling
- Cost & Latency Math
- MCP & A2A Protocols
- MCP Servers & Gateways
- A2A Agent Cards
- Tool Design & Skill Loading
- Tool Design Principles
- SKILL.md & Progressive Loading
- Self-Authored Skills
- Telemetry & Observability
- Tracing & Span Attributes
- Key Production Metrics
- Prompt Injection & Sandboxing
- Retrofitting & Strangler-Fig
- SDLC Integration & Frontier
- Agents Across the SDLC
- Team Shifts & Frontier Practice