Software Engineering

More than reading popular books on Design Patterns, two things that helped me write and structure a large codebase better were

reading a lot of good open source codebases (with similar stack)coding and collaborating a lot on the same codebase

I understand the importance of reading general-purpose design patterns, but they might not suit your... See more

Why is Continuous Delivery for ML/AI hard(er)?

Since the challenge is not new and many valid solutions exist targeting traditional software projects, is there a reason to treat ML/AI systems any differently? Consider these three core challenges that are endemic in ML, AI, and data projects:

1. Development and debugging cycles are more tedious due to

... See more

Coz: Finding Code that Counts with Causal Profiling

by Charlie Curtsinger and Emery Berger

Coz is a profiler for native code (C/C++/Rust) that unlocks optimization opportunities missed by traditional profilers. Coz employs a novel technique called causal profiling that measures optimization potential. It predicts what the impact of optimizing code... See more

Pydantic Logfire — Uncomplicated Observability

From the team behind Pydantic, Logfire is an observability platform built on the same belief as our open source library — that the most powerful tools can be easy to use.

What sets Logfire apart:

• Simple and Powerful: Logfire's dashboard is simple relative to the power it provides, ensuring your entire

... See more

How to build this skill:

• Maximize what you can do on your own: by ruthlessly prioritizing your time, pushing back on activities that have small ROI, and focusing on areas where your input is crucial; for engineers, it often means less coding (if more junior people can do that piece of coding).


• How you can maximize what you can do through others:

... See more

Comments are helpful sometimes. But sometimes, they are just an indication of bad code.The proper use of comments is to compensate for our failure to express ourself in code [1].Whenever you have to add a comment in your code, ask yourself if it is really required or if you could instead put that into a new function and name the function so that it... See more

To make life for developers easier, be explicit in what exactly is being returned. In the Stripe API, we have an object field in the response that makes it abundantly clear what we’re working with. For example, the API route

/v1/customers/:customer/payment_methods/:payment_method

Enter fullscreen mode

Exit fullscreen mode

returns a PaymentMethod... See more

Netflix created a scoring system from 0 to 100 that assigns a priority to a request, with 0 being the highest priority and 100 being the lowest priority.

The score was based on 4 dimensions

Functionality - What functionality gets impacted if this request gets throttled? Is it important to the user experience? For example, if logging-related requests... See more

1. Streamlining data exploration and analysis:

• Context-Aware Suggestions: Receive AI-powered suggestions for relevant tools, functions, and libraries based on your specific dataset and analysis goals.


• Contextual search for functions and libraries: Quickly find relevant functions and libraries from various programming languages, such as Python and R,

... See more