Issue #665

Essential Reading For Engineering Leaders

Friday 7th November issue is presented by Tinybird

Real-time isn’t a buzzword, it's the performance edge for companies like Vercel, Canva, and Framer. Tinybird helps them transform massive streams of data into instant insights and real-time user experiences.

To share what we’ve learned over the last 5 years running Petabyte-sized clusters, we built a free course on real-time analytical data foundations designed for developers who want to master the basics and build faster, smarter data products.

— James Stanier

tl;dr: “I had a conversation with a colleague the other week who is interested in moving into management. It was during this conversation that I realized just how different my advice is now compared to even a few years ago, so I thought it would be worth writing down and sharing more broadly.”

Leadership Management

— Hemant Pandey

tl;dr: (1) After every big meeting - send a 2-line recap + next steps: (2) Follow up with anyone who stayed quiet. (3) Ask: “What are we not talking about that could bite us later?” (4) Reward disagreement - don’t punish it. (5) Stop chasing harmony. Chase clarity

Leadership Management

tl;dr: Real-time isn’t a buzzword, it's the performance edge for companies like Vercel, Canva, and Framer. Tinybird helps them transform massive streams of data into instant insights and real-time user experiences. To share what we’ve learned over the last 5 years running Petabyte-sized clusters, we built a free course on real-time analytical data foundations designed for developers who want to master the basics and build faster, smarter data products.

Promoted by Tinybird

Management Data

— Frederick Vanbrabant

tl;dr: “We always made a distinction between code debt and architecture debt: code debt being the temporary hacks you put in place to reach a deadline and never remove, and architectural debt being the structural decisions that come back to bite you six months later. While I agree that implementing software patterns like the strangler pattern or moving away from singletons is definitely software architecture. Architectural debt goes way beyond what you find in the code.”

Leadership Management Data

“Focus on long-term success, but be willing to make short-term adjustments to get there.”

— Simon Sinek

— Unmesh Joshi

tl;dr: “This is why tools can't do the learning for you. An AI can generate a perfect solution in seconds, but it cannot give you the experience you gain from the struggle of creating it yourself. The small failures and the “aha!” moments are essential features of learning, not bugs to be automated away.”

LLM

tl;dr: AI is changing how we code. But are you following the right practices for best results? Sonar’s ebook explores the 7 essential habits for development teams to confidently adopt AI coding, reduce toil, and ship secure, high-quality software.

Promoted by Sonar

AI BestPractices

— Jason Roberts

tl;dr: “If there's one thing I've discovered in recent years it's this. The amount of serendipity that will occur in your life, your Luck Surface Area, is directly proportional to the degree to which you do something you're passionate about combined with the total number of people to whom this is effectively communicated.”

CareerAdvice

— Noa Bendit-Shtull, Vipul Setty

tl;dr: “With a feasible and performant solution, our next focus was to build a scalable pipeline that could extract attributes across millions of listings while maintaining confidence in the LLM output. This required robust evaluation frameworks/processes that measured quality through various metrics.”

LLM ML

— Marcus Kazmierczak

tl;dr: “Jujutsu (jj) is a new version control system that's been picking up a fair amount of interest. While Git has dominated for nearly two decades, Jujutsu promises a simpler, more intuitive approach to version control.”

JJ

Null Pointer

Data-Driven(ish)

Hand drawn by Manu

LocalStack: Local AWS cloud stack.

oRPC: Typesafe APIs made simple.

Pg_lake: Postgres for iceberg and data lakes.

Skyvern: Automate browser based workflows with AI.

TOON: JSON for LLM prompts at half the tokens.


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