
Agentic Engineering: 5 Terms Every AI Developer Should Know
Learn more about Agentic Engineering here → https://ibm.biz/~Tlo2yQJqq
AI engineering is becoming more than writing code. Cedric Clyburn breaks down five essential concepts behind agentic engineering, including prompt engineering, context engineering, AI agents, and software factories. Learn the ideas shaping the future of AI-assisted software development.
00:00 - AI‑Written Code and the Rise of Agentic Engineering
00:37 - Five Core Concepts Every AI Builder Should Know
00:56 - Prompt Engineering: Communicating Clearly With Models
01:42 - Why Domain Expertise Matters More Than Model Size
02:29 - Few‑Shot Prompts and Chain‑of‑Thought for Smaller Models
03:22 - Context Engineering: Managing the Model’s Entire Input Window
04:45 - Sub‑Agents, Summaries, and Efficient Context Management
05:41 - Harness Engineering: Execution, Verification, and Sandboxing
06:34 - Loop Engineering: Autonomous Agent Action and Triggers
08:48 - Graph Engineering: Parallel Agents Working Toward One Goal
09:37 - Software Factories: Task‑Based Agents for Full SDLC Automation
10:55 - Why These Concepts Matter for Everyone, Not Just Developers
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AI was used in the creation of the transcript and metadata for this video.
#agenticengineering #aiengineering #aiagents #developerskills
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Find us on YouTube:
? IBM Technology: https://www.youtube.com/@IBMTechnology
? IBM: https://www.youtube.com/@IBM
? IBM Developer: https://youtube.com/@IBMDeveloperAdvocates
AI engineering is becoming more than writing code. Cedric Clyburn breaks down five essential concepts behind agentic engineering, including prompt engineering, context engineering, AI agents, and software factories. Learn the ideas shaping the future of AI-assisted software development.
00:00 - AI‑Written Code and the Rise of Agentic Engineering
00:37 - Five Core Concepts Every AI Builder Should Know
00:56 - Prompt Engineering: Communicating Clearly With Models
01:42 - Why Domain Expertise Matters More Than Model Size
02:29 - Few‑Shot Prompts and Chain‑of‑Thought for Smaller Models
03:22 - Context Engineering: Managing the Model’s Entire Input Window
04:45 - Sub‑Agents, Summaries, and Efficient Context Management
05:41 - Harness Engineering: Execution, Verification, and Sandboxing
06:34 - Loop Engineering: Autonomous Agent Action and Triggers
08:48 - Graph Engineering: Parallel Agents Working Toward One Goal
09:37 - Software Factories: Task‑Based Agents for Full SDLC Automation
10:55 - Why These Concepts Matter for Everyone, Not Just Developers
AI news moves fast. Sign up for a monthly newsletter for AI updates from IBM → https://ibm.biz/~0GmuEtvwj
AI was used in the creation of the transcript and metadata for this video.
#agenticengineering #aiengineering #aiagents #developerskills
---------------------------------------------------------------------------------------------------------
Find us on YouTube:
? IBM Technology: https://www.youtube.com/@IBMTechnology
? IBM: https://www.youtube.com/@IBM
? IBM Developer: https://youtube.com/@IBMDeveloperAdvocates
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