dhruvagga
Fostering Developer Trust in AI
And I don't understand how to correlate your Dep. frequency here with PR merges. There's one point where the project might build vs considering every PR merge as a deployment. Don't you think that would shake the metrics rating for this repo as per your assessment?
Engineering Manager AI Assistant
Value Stream Mapping 101
Not mixing list of todos with strategy
Output (not =) Outcome
Ask HN: How to benchmark different LLM models in parallel?
I was trying Langflow recently for some experiments in our open source project - https://github.com/middlewarehq/middleware to build a RAG over DORA metrics.In my machine, langflow literally brings makes it super slow so testing each model for output is painful. Is there a way I can try out a parallel output from different models to compare?
We made the core part open source and our paid offering takes up the rest of the product as addons! So, we maintain only one codebase and avoid the hassle of drifts.
Happy to offer more insight.
Engineering productivity is a complex topic and a crucial decision is to pick a framework which is non-monitoring, non-gameable. DORA metrics fits well right in.
Being both an engineer and an engineering manager in the last decade I observed that builders are stuck in slightly sized orgs (>40 engineers) and leaders have a meek sense of the blockers. So, I observed 2 types of leaders: micro-managers or gut feeling wingers.
The end result in both cases are unhappy and stuck developers. Hence, we built Middleware.
This version offers DORA metrics out of the box to help any engineering team get started on tracking their delivery pipeline health (both in speed and quality).
Engineering productivity is a complex topic and a crucial decision is to pick a framework which is non-monitoring, non-gameable.
DORA metrics fits well right in and being open source Middleware makes it easy to start within your infra/env securely.
Looking forward to your feedback and thoughts!
Being both an engineer and an engineering manager in the last decade I observed that builders are stuck in slightly sized orgs (>40 engineers) and leaders have a meek sense of the blockers. So, I observed 2 types of leaders: micro-managers or gut feeling wingers.
The end result in both cases are unhappy and stuck developers.
Hence, we built Middleware.
This version offers DORA metrics out of the box to help any engineering team get started on tracking their delivery pipeline health (both in speed and quality).
Engineering productivity is a complex topic and a crucial decision is to pick a framework which is non-monitoring, non-gameable.
DORA metrics fits well right in and being open source Middleware makes it easy to start within your infra/env securely.
Looking forward to your feedback and thoughts!
Show HN: A Spotify-like yearly recap for devs using GitHub contributions
https://github.com/middlewarehq/unwrapped
Recently, I came across Spotify's wrapped showing cool insights from my the music I heard in 2023.Last week we casually started discussing about our cards (the Spotify highlights) in our office and then we wondered if we do can look at our development journey the same way in 2023. That was it, everyone put their hacker hats on, started building Unwrapped to reflect on the dev journey just using...