hhimanshu
Joined 16 years ago
Karma
158
Submissions
101
Member since
Jan 23
learner, daydreamer
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Comment · 10 months ago
Have you installed Claude Code Github App and tried assigning the issues using @claude? In my experience it has done better than Github Copilot
Comment · 1 year ago
Great resource, definitely a good place to take the next step. As I looked into detail, the natural question came (based on software developing experience), how do I evaluate the correctness of output produced by LLM given the inputs. Clearly, unit test with fixed in/out pairs won't help so learning methods to evaluate as we develop iteratively will be very useful.
Thanks for sharing the article!
Comment · 1 year ago
Two resources that I am currently learning from are
1. https://deepwiki.com/humanlayer/12-factor-agents/1-12-factor...
2. https://deepwiki.com/anthropics/claude-code/1-claude-code-ov...
Comment · 1 year ago
Thank you, I will take a look
Comment · 1 year ago
May be if you pick a real-world agent workflow (toy from your production experience, trim it down), and showcase how all these factors will come along in a project.
I am inspired by the simplicity of these 12 factors and definitely want to learn more with an example that embraces these factors.
Comment · 1 year ago
I am wondering how libraries like DSPY [0] fits in your factor-2 [1]
As I was reading, I saw mention of BAML > (the above example uses BAML to generate the prompt ...
Personally, in my experience hand-writing prompts for extracting structured information from unstructured data has never been easy. With DSPY, my experience has been quite good so far.
As you have used raw prompt from BAML, what do you think of using the raw prompts from DSPY [2]?
[0] https://dspy.ai/
[1] https://github.com/humanlayer/12-factor-agents/blob/main/con...
[2] https://dspy.ai/tutorials/observability/#using-inspect_histo...
Comment · 2 years ago
Yes, I love using the code and AI tools like Claude, Github CoPilot are great at it. But when solving a business problem, we still need to "see it" before start writing the code (at least this is my preferred way)