Pointer

SPONSOR - The Context Layer For Modern Engineering Teams

Tue, 01 Sep 2026 00:00:00 GMT

Unblocked turns code, docs, tickets, conversations and production data into actionable context, so engineers move faster and agents stay on track.

Coaching Questions That Work

Tue, 01 Sep 2026 00:00:00 GMT

— Dan Rockwell

tl;dr: Some questions focus on situations. What happened? What’s wrong? What do you want? Begin with situations, but don’t park there. Coaching questions turn attention to the person. (1) What did you notice about yourself in that meeting? (2) What was going on for you when she said that? (3) What do you make of your reaction?

Modern Engineering Values

Tue, 01 Sep 2026 00:00:00 GMT

— Christoph Nakazawa

tl;dr: “I’ve been trying to wrap my head around engineering values and principles that matter for 2026 and beyond that will help individuals and organizations move faster. Looking at my engineering workflow it feels like on one hand everything changed, and on the other, not that much."

[Webinar] How To Stop Babysitting Your Agents

Tue, 01 Sep 2026 00:00:00 GMT

— Brandon Waselnuk

tl;dr: Agents can generate code. Getting it right for your system is the hard part – you end up wasting time and tokens in the back and forth. More MCPs solve access but not understanding. Join us for a FREE webinar on Sep 2 to see how to give agents exactly what they need the first time (includes a live demo).
Promoted by Unblocked

How To Figure Out Your Next Career Move

Tue, 01 Sep 2026 00:00:00 GMT

— Cliff Maxwell

tl;dr: “In this post, I’ll help you answer six fundamental questions that will instill confidence and focus anytime you are navigating a transition at work. Each question comes with exercises and tools to help you build understanding.”

Responsibility Is Taken Before It Is Given

Tue, 01 Sep 2026 00:00:00 GMT

— Lalit Maganti

tl;dr: “To get promoted as a software engineer in Big Tech, you generally need to show “ownership” of a product or area. This means being responsible for it and deciding what should happen over time.”

How Laurel's AI-Native Team Ships More Verified Code

Tue, 01 Sep 2026 00:00:00 GMT

tl;dr: In three months, Laurel scaled agent-authored PRs from 55% to 76% of engineering output while cutting change failure rate by over 80%. Lightweight per-PR environments enable them to verify changes at agent scale and ship more code with fewer failures. Their ~60-engineer team now merges 2,300+ PRs a month. Take a look at their stack and what they implemented to get there.
Promoted by Signadot

Bug Blindness

Tue, 01 Sep 2026 00:00:00 GMT

— Dan Luu

tl;dr: “I used to wonder why I see so many more bugs than most people. I easily observe hundreds to thousands of bugs per week and nothing seems to work, but most people I talk to don't see anything like this. For a long time, I thought this had something to do with how I use computers but, over time, I've realized that it's mostly that people are hitting the same bugs and don't notice.”

Three Mistakes Of New AI Teams

Tue, 01 Sep 2026 00:00:00 GMT

— Doug Turnbull

tl;dr: “A surprising amount of the pain I see on AI teams looks very much like what budding search teams in the 2010s went through. Admittedly this gives me a biased perspective, but perhaps a useful one.”

How To Write An Effective Software Design Document

Tue, 01 Sep 2026 00:00:00 GMT

— Michael Lynch

tl;dr: “I’ve written design docs as a developer at Google, Microsoft, and within my own companies. The specifics vary, but the underlying principles remain the same. A design doc should articulate the hard problems you’re solving and help your teammates give you feedback. Below, I share my approach to creating effective design docs and explain what belongs in a design doc and what does not.”

SPONSOR - Review The Actual Change, Not The File List

Fri, 28 Aug 2026 00:00:00 GMT

AI writes more code than ever. Reviewing it shouldn’t mean scrolling forty files in alphabetical order.
CodeRabbit Review reorganizes any pull request from a flat file list into a structured, layer-by-layer walkthrough - the logical reading order of the change, not the order your platform happens to sort it.
Every range gets its own plain-language summary, with sequence diagrams, state machines, and ERDs generated inline wherever a visual earns its place.

The 80/20 Rule For Your Whole Life

Fri, 28 Aug 2026 00:00:00 GMT

— Yew Jin Lim

tl;dr: “The best investment framework isn’t the one that maximizes returns. The best career strategy isn’t the one that eliminates risk. The best contemplative practice isn’t the one that promises instant transformation. The best framework is the one you’ll stick with. For me, that’s been a boring foundation with a laboratory on top.”

Elephants, Goldfish And The New Golden Age Of Software Engineering

Fri, 28 Aug 2026 00:00:00 GMT

— Dave Resin

tl;dr: “I argue that most of us are using our AI tools - including basic chatbots - wrong. I will propose a different approach that I hope will be valuable no matter who you are or what you do for a living. This section is for everyone and it sets up what follows.”

Review The Actual Change, Not The File List.

Fri, 28 Aug 2026 00:00:00 GMT

tl;dr: AI writes more code than ever. Reviewing it shouldn’t mean scrolling forty files in alphabetical order. CodeRabbit Review reorganizes any pull request from a flat file list into a structured, layer-by-layer walkthrough - the logical reading order of the change, not the order your platform happens to sort it. Every range gets its own plain-language summary, with sequence diagrams, state machines, and ERDs generated inline wherever a visual earns its place. (1) Cohorts group related files and chunks so you review one idea at a time. (2) Layers order them so foundational changes - data shapes, contracts - come before the code that depends on them. (3) Code Peek lets you click any variable, function, class or type to see its definition and usages without leaving the tab. (4) Semantic Diff cuts past formatting noise to show what actually changed. From the team that pioneered AI code reviews. 2M reviews every week. 6M repos. 15K customers. Free during early access.
Promoted by CodeRabbit

How Much Can You Hold Before It Breaks?

Fri, 28 Aug 2026 00:00:00 GMT

— Steve Huynh

tl;dr: “My optimal approach for a person has two parts, and each one addresses one of those problems. First, we want to pick a single piece of high-priority, high-impact work and protect it, so that whatever else happens, the thing that matters gets done. Second, we want to cut the number of things in flight down to as few as we can stand, so the switching costs are minimized. We want one thing at the top, and as little as possible underneath it.”

Three Resume Tips

Fri, 28 Aug 2026 00:00:00 GMT

— Sumner Evans

tl;dr: “In this article, I would like discuss the content of your resume. I’m going to describe three rules that I made up to guide your resume’s content.”

Authentication And Authorization For Internal MCP Servers

Fri, 28 Aug 2026 00:00:00 GMT

— Paul Vatterott

tl;dr: Your internal MCP server can give LLMs access to everything by default, with no auth layer to stop them. This post shows how to lock it down with roles, granular scopes, and Enterprise SSO so employees and their AI assistants only reach the data they're cleared for.
Promoted by PropelAuth

Making Your Data Ready For Agentic AI

Fri, 28 Aug 2026 00:00:00 GMT

— Prem Chandrasekaran, Pramod Sadalage

tl;dr: “Before any agent framework can produce useful outcomes, your data has to be in a shape that a machine can consume, trust, and act on. In this article, we discuss what your data needs to look like for agentic AI to derive value from it.”

We Need To Talk About Migrations With AI

Fri, 28 Aug 2026 00:00:00 GMT

— Gergely Orosz

tl;dr: “OpenAI put an impressive-sounding case study about how they helped Asana save $5.9M with a single migration. “Asana cleared 5 years of engineering work in 2 weeks with Codex. Using OpenAI Codex, Asana replaced an outdated testing system in two weeks for about $12K.” Gergely dive into this claim and discusses how migrations are changing.

How We Saved 100 Terabytes Of Memory By Optimizing 1.1.1.1’s DNS Cache

Fri, 28 Aug 2026 00:00:00 GMT

— Sebastiaan Neuteboom

tl;dr: “Five successive changes to how cache entries are stored in memory cut the per-entry footprint by over 50%. Across our fleet, these changes freed up roughly 100 terabytes of memory, equivalent to the amount of RAM in 130 of our Gen 13 servers. The cache also got faster. Insert throughput rose 43% and lookup latency dropped 19%, as fewer allocations and better memory locality meant we did not trade speed for space.”