1. Description
The technical domain Agentic Coding must be transformed into structured educational materials using the previously defined NotebookLM source-grounded synthesis workflow.
Agentic Coding represents a complex engineering concept involving autonomous AI agents and decision-loop architectures. A structured educational roadmap must be created that decomposes the topic into short instructional units designed for 5–10 minute educational videos.
After defining the roadmap, the first three educational learning units must be produced. Educational assets must include structured video scripts or outlines, supporting educational notes, and presentation slide materials derived from validated technical sources using NotebookLM synthesis.
This work supports scalable developer education and internal knowledge distribution for emerging AI engineering practices.
2. Ownership, Timeline, and Effort
Owner: @Eren-Can-Donertas
Given Date: 02-03-2026
Deadline: 22-03-2026 24:00 (end of day)
Hours: 4
Value: 2
Week: 10-12
3. Deliverables
Deliverables include:
- Educational roadmap for Agentic Coding
- Three structured educational video outlines for Agentic Coding
- Supporting educational notes for all three produced learning units
- Presentation slide materials when applicable
- NotebookLM synthesis documentation used for content generation
Shared repository location:
Agentic Coding
https://drive.google.com/drive/folders/1UI0DE_6nfUbeNv1-0lMcfuFLCr2P-q6I
Completion rule:
Non coding issues are considered complete only when the shared repository contains the final deliverables listed above.
4. Scope Definition
In Scope
- Designing an educational roadmap for Agentic Coding
- Structuring topics into short educational video segments
- Producing the first three learning units
- Generating structured video outlines, notes, and slide materials
- Using NotebookLM synthesis based on validated sources
- Uploading outputs to the defined shared repository
Out of Scope
- Publishing videos on external platforms
- Recording or editing video footage
- Marketing distribution
- Expanding topic scope beyond Agentic Coding
- Building software tools or applications
5. Acceptance Criteria
6. Domain Specific Notes
Engineering considerations:
Educational materials must accurately represent AI agent architectures, reasoning loops, and decision-making workflows used in agent-based systems.
Assumption:
NotebookLM synthesis workflow and production methodology were previously defined.
7. Validation and Review Requirements
Validation occurs through repository inspection and structural review of generated educational materials.
Definition of Done:
The issue is considered Done when all deliverables listed in the Deliverables section exist in the shared repository and are reviewable by the project reviewer or educational content lead.
1. Description
The technical domain Agentic Coding must be transformed into structured educational materials using the previously defined NotebookLM source-grounded synthesis workflow.
Agentic Coding represents a complex engineering concept involving autonomous AI agents and decision-loop architectures. A structured educational roadmap must be created that decomposes the topic into short instructional units designed for 5–10 minute educational videos.
After defining the roadmap, the first three educational learning units must be produced. Educational assets must include structured video scripts or outlines, supporting educational notes, and presentation slide materials derived from validated technical sources using NotebookLM synthesis.
This work supports scalable developer education and internal knowledge distribution for emerging AI engineering practices.
2. Ownership, Timeline, and Effort
Owner: @Eren-Can-Donertas
Given Date: 02-03-2026
Deadline: 22-03-2026 24:00 (end of day)
Hours: 4
Value: 2
Week: 10-12
3. Deliverables
Deliverables include:
Shared repository location:
Agentic Coding
https://drive.google.com/drive/folders/1UI0DE_6nfUbeNv1-0lMcfuFLCr2P-q6I
Completion rule:
Non coding issues are considered complete only when the shared repository contains the final deliverables listed above.
4. Scope Definition
In Scope
Out of Scope
5. Acceptance Criteria
6. Domain Specific Notes
Engineering considerations:
Educational materials must accurately represent AI agent architectures, reasoning loops, and decision-making workflows used in agent-based systems.
Assumption:
NotebookLM synthesis workflow and production methodology were previously defined.
7. Validation and Review Requirements
Validation occurs through repository inspection and structural review of generated educational materials.
Definition of Done:
The issue is considered Done when all deliverables listed in the Deliverables section exist in the shared repository and are reviewable by the project reviewer or educational content lead.