Issue #504

Tuesday 9th April’s issue is presented by OneSchema

Tired Of SEVs From Broken SFTP Integrations?

OneSchema FileFeeds empowers your non-technical teams to fully manage your SFTP integrations.

Scale your engineering team off of brittle, error-prone Python scripts, and empower your support team with OneSchema’s data normalization engine – designed to transform and validate CSV/XML files completely no-code.

Our system comes with enterprise-grade observability, security, and access control, ensuring that your data syncs are reliable and accurate.

Check Out OneSchema Here

Have Concerns And Commit

tl;dr: “I lead a couple of teams. I could use a gut check on decision making. how do you convey a top down decision (a decision that you don’t buy in entirely) to your team? something other than “hey, leadership wants x, I see a, b, and c as potential pitfalls in x. I have conveyed my reservations. now it’s time to disagree and commit”” The author breaks decisions into three types - non-material, material and critical.

Leadership Management

Headline Driven Development

— Slava Akhmechet

tl;dr: Process involves: (1) Decomposing the project into a stream of headlines. (2) Picking an aggressive ship date for the first headline and working hard to meet it. (3) Having everyone focus only on one headline at a time - the upcoming one. (4) Ignoring everything else that doesn't help ship the current headline. (5) Once a headline ships, switching to the next one and repeating. This process works well as for three reasons - headlines is how humans process change, prioritization is easy and setting deadlines is effective.

Process Management

3 Hours to 3 Minutes: How Mobile reCell Is Importing Customer Data 60x Faster

— Will Genesen

tl;dr: Mobile reCell streamlined their customer data import process, reducing file cleaning time from 3 hours to 3 minutes. By leveraging the pre-built validation library and intuitive interface with smart suggestions, they quickly set up validations for key workflows. The engineering team fine-tuned the implementation to focus on critical data points while allowing flexibility for less critical customer data. 

Promoted by OneSchema

Management UsefulTool

Advice to Young People, The Lies I Tell Myself

— Jason Liu

tl;dr: Many topics covered, including the following: (1) How to be lucky: Develop a wide field of perception to see opportunities. Ask yourself if you're so focused on one thing that you're missing obvious opportunities. (2) How to get a job: Merit alone is often not enough. Focus on being someone people want to work with. High agency - thinking proactively about how you can help - is key when reaching out. (3) Impostor syndrome: If someone hires you, believe in their judgment. Don't insult them by having impostor syndrome. 

CareerAdvice

“The key is not to prioritize what’s on your schedule, but to schedule your priorities.”

— Stephen Covey

When To Use Cute Names Or Descriptive Names

— Nicole Tietz-Sokolskaya

tl;dr: If a name is hard to change and the code is likely to evolve, use a creative, "cute" name. A descriptive name becomes a liability if it can't keep up with changes. If a name is easy to change, use a descriptive and unambiguous name, even if it gets verbose. Verbosity signals when something needs refactoring. Nicole shares high-level thoughts around naming.

Naming

Classifying Bug Reports With ChatGPT

— Rafael Quintanilha

tl;dr: Rafael creates an automated workflow that: (1) Triggers on new bug reports. (2) Uses ChatGPT to classify the report based on the user description. (3) Updates the priority accordingly. (4) Sends a Slack notification if and only if the bug is deemed as Urgent.

Debugging

Predicting Solar Eclipses With Python

— Erik Bernhardsson

tl;dr: “As I am en route to see my first total solar eclipse, I was curious how hard it would be to compute eclipses in Python. It turns out, ignoring some minor coordinate system head-banging, I was able to get something half-decent working in a couple of hours.”

Python

How Levels.fyi Built Scalable Search With PostgreSQL

— Tanishq Singh

tl;dr: The post outlines how Levels.fyi built a scalable fuzzy search solution using PostgreSQL that handles over 10 million search queries per month with p99 query performance under 20ms, outlining the key steps. 

PostgreSQL Search

Most Popular From Last Issue

15 Principles For Managing Up - Wes Kao

Notable Links

Homepage: Customizable homepage with Docker and API integrations.

Llamafile: Distribute and run LLMs with a single file.

LLocalSearch: Locally running search aggregator using LLM Agents.

Pgmock: In-memory Postgres for unit / E2E tests.

Plandex: AI coding engine for complex tasks.

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