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Build Code Review AI Agents in Python - Part 3 of 3 | Automate Code Reviews with Custom AI Agents
Welcome to the final part of this 3-part series on building AI-powered code review agents! In this video, we complete the pipeline by adding a Pull Request Review Agent, turning our automation into a full lifecycle AI-driven code review process.
Part one:
youtube.com/watch?v=iyyIHcv3LPk
Part two:
youtube.com/watch?v=wvRJdEfeJcY
What You'll Learn in Part 3:
1. How to integrate a PR Review Agent to validate inline comments in the recommit/main.tf file.
2. Using OpenAI's LLM to ensure all review feedback meets quality standards before merging.
3. Automating the GitHub pull request review and merge process using Python and GitHub Actions.
4. A bonus section exploring GitHub Copilot for pull request interaction and a preview of its potential integration into the workflow.
Tools and Technologies Used:
1. Python: PR Review Agent and supporting functions.
2. GitHub Actions: For full automation of the CI/CD pipeline.
3. OpenAI API: Validating inline comments with AI.
4. GitHub Copilot: Exploring its use in pull request reviews.
Project Code on https://github.com/talkitdoit/build-code-review-ai-agents
Next Steps: In future videos, we’ll explore how to integrate GitHub Copilot into the automation flow (subject to the release of the Copilot API). Don’t forget to subscribe and turn on notifications to follow along as we push the boundaries of AI and DevOps!
Timestamps:
0:00:00 Intro
0:01:00 Repository to get the code
0:01:25 Lets Go DOIT
0:01:31 Updating the github actions yaml code
0:02:17 Add new PR Review Agent code
0:02:45 Create new python script for the pipeline
0:03:12 Create process review python code
0:03:50 Run the full pipeline
0:04:09 Confirm success
0:04:24 BONUS: copilot ai chat showcase
0:05:11 End
HASHTAGS:
#AI #Python #CodeReview #Automation #OpenAI #InfrastructureAsCode #howto #Programming #openai #Terraform # GitHubActions # GitHub #copilot
Видео Build Code Review AI Agents in Python - Part 3 of 3 | Automate Code Reviews with Custom AI Agents канала TalkitDoit
Part one:
youtube.com/watch?v=iyyIHcv3LPk
Part two:
youtube.com/watch?v=wvRJdEfeJcY
What You'll Learn in Part 3:
1. How to integrate a PR Review Agent to validate inline comments in the recommit/main.tf file.
2. Using OpenAI's LLM to ensure all review feedback meets quality standards before merging.
3. Automating the GitHub pull request review and merge process using Python and GitHub Actions.
4. A bonus section exploring GitHub Copilot for pull request interaction and a preview of its potential integration into the workflow.
Tools and Technologies Used:
1. Python: PR Review Agent and supporting functions.
2. GitHub Actions: For full automation of the CI/CD pipeline.
3. OpenAI API: Validating inline comments with AI.
4. GitHub Copilot: Exploring its use in pull request reviews.
Project Code on https://github.com/talkitdoit/build-code-review-ai-agents
Next Steps: In future videos, we’ll explore how to integrate GitHub Copilot into the automation flow (subject to the release of the Copilot API). Don’t forget to subscribe and turn on notifications to follow along as we push the boundaries of AI and DevOps!
Timestamps:
0:00:00 Intro
0:01:00 Repository to get the code
0:01:25 Lets Go DOIT
0:01:31 Updating the github actions yaml code
0:02:17 Add new PR Review Agent code
0:02:45 Create new python script for the pipeline
0:03:12 Create process review python code
0:03:50 Run the full pipeline
0:04:09 Confirm success
0:04:24 BONUS: copilot ai chat showcase
0:05:11 End
HASHTAGS:
#AI #Python #CodeReview #Automation #OpenAI #InfrastructureAsCode #howto #Programming #openai #Terraform # GitHubActions # GitHub #copilot
Видео Build Code Review AI Agents in Python - Part 3 of 3 | Automate Code Reviews with Custom AI Agents канала TalkitDoit
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25 ноября 2024 г. 2:44:59
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