Hernan
@herchila.bsky.social
Senior Python/Django | 🤖 Exploring and building things with AI ✨ getastra.xyz 📓 dev.to/hernanchilabert
Here is a summary of my progress and a look at what's ahead focusmap.pro/roadmap/45a1... 👇
September 3, 2025 at 8:10 PM
Here is a summary of my progress and a look at what's ahead focusmap.pro/roadmap/45a1... 👇
You can find the code for Phase 1 on my GitHub.
Stars ⭐ are much appreciated!
github.com/herchila/uni... #BuildInPublic #Python #LLM
Stars ⭐ are much appreciated!
github.com/herchila/uni... #BuildInPublic #Python #LLM
GitHub - herchila/unittest-ai-agent: Automated Unit Test Generation with AI
Automated Unit Test Generation with AI. Contribute to herchila/unittest-ai-agent development by creating an account on GitHub.
github.com
September 3, 2025 at 8:03 PM
You can find the code for Phase 1 on my GitHub.
Stars ⭐ are much appreciated!
github.com/herchila/uni... #BuildInPublic #Python #LLM
Stars ⭐ are much appreciated!
github.com/herchila/uni... #BuildInPublic #Python #LLM
It’s just the beginning. What I have in mind is building a team:
1. A "QA Engineer" agent to run the tests
2. If something fails, the "Dev Engineer" agent will fix it
3. Repeat until everything works as expected
It’s an autonomous feedback loop for TDD
1. A "QA Engineer" agent to run the tests
2. If something fails, the "Dev Engineer" agent will fix it
3. Repeat until everything works as expected
It’s an autonomous feedback loop for TDD
September 3, 2025 at 8:03 PM
It’s just the beginning. What I have in mind is building a team:
1. A "QA Engineer" agent to run the tests
2. If something fails, the "Dev Engineer" agent will fix it
3. Repeat until everything works as expected
It’s an autonomous feedback loop for TDD
1. A "QA Engineer" agent to run the tests
2. If something fails, the "Dev Engineer" agent will fix it
3. Repeat until everything works as expected
It’s an autonomous feedback loop for TDD
The idea is simple:
* Give it a Python file
* You receive a "test_.py" file ready for "pytest"
Behind the scenes, I’m using #langchain for orchestration and OpenAI as LLM.
* Give it a Python file
* You receive a "test_.py" file ready for "pytest"
Behind the scenes, I’m using #langchain for orchestration and OpenAI as LLM.
September 3, 2025 at 8:03 PM
The idea is simple:
* Give it a Python file
* You receive a "test_.py" file ready for "pytest"
Behind the scenes, I’m using #langchain for orchestration and OpenAI as LLM.
* Give it a Python file
* You receive a "test_.py" file ready for "pytest"
Behind the scenes, I’m using #langchain for orchestration and OpenAI as LLM.