Flapico
Prompt versioning, testing, and evaluation
120 followers
Prompt versioning, testing, and evaluation
120 followers
Flapico lets you version, test & evaluate your prompts, and makes your LLM apps reliable in production. 🔓 Decouple your prompts from your codebase 📊 Quantitative tests, instead of guesswork 💻 Have your team collaborate on writing & testing prompts
Flapico
Hi everyone,
I am excited to launch Flapico. Over last couple of years, I've been working with different companies to build & ship LLM apps. I saw some common problems everywhere, irrespective of the size of the company.
- People unsure about where to keep prompts (some track in git, which makes it messy).
- Functional teammates sharing prompts over Teams & Slack, so it can be integrated by developers.
- The selection of LLM (and prompt) is often a gut-feeling or a guesswork, instead of numbers.
Flapico addresses these issues, and more. Being a developer, I know I never want to change my development paradigm. That's why Flapico doesn't aim to replace your existing tools or methods. Instead it exists to solve just the right problems.
It gives me joy to see how functional team members (like domain experts) are collaborating with developers on Flapico.
I'd love to hear your thoughts, and feedback.
Feel free to reach out at adarsh[at]flapico[dot]com
Kalyxa
@adarsh_punj
Totally get this — I’ve seen the same mess with prompts floating around Slack and no real system to track what works. Love that you’re not trying to reinvent the dev workflow but just solve the annoying parts. Curious to see how teams use it in the wild.
Flapico offers a clever way to take control of your LLM prompts—versioning, testing, and evaluating them for reliability in production. I love how it replaces guesswork with real data and supports team collaboration, making prompt management way more professional and efficient.
Flapico
@supa_l Thanks!
Flapico solves the dark art of prompt engineering! 🔍 Version-controlled prompts + quantitative testing bring scientific rigor to LLM apps. 🧪 Decoupling from codebase is genius - enables agile iterations without breaking production. Perfect for teams scaling reliable AI applications. 🚀