Issue #741

Essential Reading For Engineering Leaders

Tuesday 11th August’s issue is presented by CodeRabbit

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.

  • Cohorts group related files and chunks so you review one idea at a time.

  • Layers order them so foundational changes - data shapes, contracts - come before the code that depends on them.

  • Code Peek lets you click any variable, function, class or type to see its definition and usages without leaving the tab.

  • 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.

— Mike Fisher

tl;dr: “The hardest stretches of running a team are not sprints. They are ultras: the long downturn, the slow turnaround, the market that stays bad for six quarters straight. None is solved by a single heroic burst. They are survived, or not, by how you manage the long middle, when the adrenaline is gone and the only skill left is suffering productively while metering what you have.” 

Leadership Management Wellbeing

— Shreyas Doshi

tl;dr: (1) If you want to help people learn something, look into making it engaging / entertaining. This first one is the easier, more obvious conclusion. (2) It is actually not in your best interest to be the kind of person who can only learn from entertaining content. Nor to be the kind of person that needs any sort of entertainment as a prerequisite for learning. The vast majority of smart people will never consider this second conclusion.

CareerGrowth

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

CodeReview Tools+Setup AI

— Will Larson

tl;dr: “If you’re willing to embrace this fact that a little bit of time in middle management roles is important preparation to become an executive, but spending a great deal of time in middle management only prepares you for further middle management roles–and makes you less effective as a potential executive–then the AI-driven shift in managerial fads might be a threat to your current role, but it’s likely to improve your chances to succeed as an executive.”

Management CareerGrowth

"Let him that would move the world first move himself."

— Socrates

— Steve Huynh

tl;dr: “After nearly two decades at Amazon, operating as a Principal Engineer, often parachuting into complex, high stakes projects, I’ve developed a system to cut through this chaos. In this article, I’ll share with you that exact framework to help you get up to speed unbelievably fast.”

Management Guide Onboarding

tl;dr: Agents hit your signup flow and bounce off a login built for humans. Every one that gives up is a signup you never see. WorkOS Agent Registration turns that traffic into signups. Enroll via the dashboard and AuthKit publishes an auth.md file agents read to register for scoped, short-lived credentials you control.

Promoted by WorkOS

Agents Auth AI

— Norberto Lopes

tl;dr: “There’s a lot of buzz that AI means companies only want seniors now. That there’s no room left for early career engineers. I don’t think that’s true. The thing actually worth worrying about isn’t whether you’ll get hired, it’s whether you keep learning in a world of AI, now that it removes the friction where that learning used to happen. And that, thankfully, is a choice you get to make.”

— Addy Osmani

tl;dr: “For much of human history, we’ve evaluated code quality via code review: someone reads what you wrote and makes sure it’s clean, thoughtful, fast, understandable, and tests well. For agents, that approach doesn’t scale well; there’s just too much code for anyone to read. As a result, more and more of our quality checks have to happen in the harness, environment, and operating system around the agent. Software quality now depends on the constraints you set around your agents.”

AI CodeQuality Agents

— Gabor Koos

tl;dr: “This series is about making your programs more resilient. Each post looks at one part of the system we take for granted: networks, time, databases, storage, users, dependencies, deployments, queues, and concurrency. The question is always the same: what assumptions are we making here, and what should we do when they stop being true?”

Databases DeepDive

I'll be at LeadDev's LDX3 this September 15–16, looking forward to the conversations on how engineering leadership is changing.

I find it useful to hear from people doing the work - whether they're running a small startup or a large org. It helps me understand the real-world challenges and how this newsletter can better serve you.

If you're going too, I'd love to meet in person. Reply and let me know.

Celld: Self-hosted, distributed durable objects.

Cloudflare OS: AI productivity environment.

Flint: Visualization language that lets AI agents create charts.

Hallmark: Anti-AI Slop Design Skill For Claude Code.

Prime Agent: Self-improving RLM agent.

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