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- Issue #749
Issue #749
Essential Reading For Engineering Leaders
Tuesday 9th September issue is presented by CodeRabbit
Stop reviewing PRs in the order they arrived. Review in the order that matters.
CodeRabbit Triage is a reviewer-first prioritization layer for the PR queue: a self-updating, cross-repository inbox that tells you which pull request to review next, how deeply to review it and which ones may be safe to close.
Start reviewing the right PRs or tackle low-hanging fruits without leaving the queue.
Find it under Review in CodeRabbit web interface.
— Yue Zhao
tl;dr: "I saw an issue with a process on my team recently and brought it up directly in a team meeting a few days later. I was very direct about the problem, gave all the details, and explained how it impacted everyone. To my surprise, my manager shut it down completely, and now I cannot get any buy-in from anyone. What happened? Where did I do wrong?"
Leadership Communication
— James Samuel
tl;dr: My workflow for doing this is built around three main skills. They help my AI agent understand what matters to me, what information it should pay attention to, and how to turn that information into a list I read before starting my day. (1) projects.md (2) people.md (3) daily.md.
Management Productivity AI
tl;dr: "Stop reviewing PRs in the order they arrived. Review in the order that matters. CodeRabbit Triage is a reviewer-first prioritization layer for the PR queue: a self-updating, cross-repository inbox that tells you which pull request to review next, how deeply to review it and which ones may be safe to close. Start reviewing the right PRs or tackle low-hanging fruits without leaving the queue. Find it under Review in CodeRabbit web interface."
Promoted by CodeRabbit
CodeReview AI Security
— Rachel Laycock
tl;dr: “Perhaps the problem isn't that AI has broken code review, maybe it’s that we've been using code review to solve the wrong problems.”
TechDebt AI CodeReview
“Strength can be defeated with strategy.”
— Ryan Peterman, Thariq Shihipar
tl;dr: “When I talk with my friends who work at Anthropic it always surprises me how far ahead they are in adopting AI within their processes and workflows. Generally what engineers in the industry start doing, these top AI labs have already been doing for a while.”
DevEx AI
— Guilherme Marmerola
tl;dr: A look at how TRM is building a transformer-based blockchain foundation model, learning from public and proprietary on-chain data so investigators can find threats by behavior.
Promoted by TRM Labs
Guide AI
— Domenic Denicola
tl;dr: “Things are changing very fast, and I have no illusions that this will be a timeless nugget of wisdom. But talking to some friends and scrolling through X posts, it does seem that I might have some techniques in play that are not widespread.”
DevEx AI
— Koleman Nix
tl;dr: “What you should be consistent about is this process of naming itself. The decision of what to name something should take in as many inputs as you can gather, not just the type of the thing, and not even just its current usage.”
Communication CodeQuality
— Ben Joffe
tl;dr: “Nearly all major date / time libraries compute hour, minute and second the same way - slowly. In this article, I will dive deep into this little problem, and demonstrate a seemingly impossible claim.”
DeepDive Algo Performance
Most Popular From Last Issue
The Art Of Simplifying Decisions - David Pereira
Notable Links
Diagram Design: Editorial diagram types for Claude Code.
Exoharness: Minimal architecture for building agents.
Foreman: AI agents run the loop, humans judge.
HyperFrames: OS framework turning HTML + CSS into video
Zstandard: Real-time compression algorithm.
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