Tuesday 17th February issue is presented by Packmind | | | Most teams adopt AI coding without an engineering playbook. Standards live in heads, Slack, PR comments, or scattered docs — so AI agents guess. | Packmind helps teams build a shared engineering playbook and automatically enforce it across repos and coding agents. Try Packmind Open Source and scale AI coding safely. | | | | | — James Stanier | | tl;dr: “Remember, it’s priority, not priorities: you should just have one single list. The principle is simple, but the execution requires courage: the courage to tell someone their project is seventh, the courage to admit you’ve been avoiding the hard choice yourself, and the courage to make trade-offs visible rather than hiding them behind parallel tracks and consensus theatre.” | Leadership Management | | | — Michael Lopp | | tl;dr: “I worked for each of these humans. They either hired or promoted me. I worked for them for many years. As is my way, I’ve vastly altered the details of each human, but the core issue I describe is the core issue. Also, each of these humans is very smart. No dummies.” | Leadership Management | | | | tl;dr: AI coding agents don’t fail because the model is weak, they fail because context drifts. Most teams bootstrap CLAUDE.md or AGENTS.md once… and never maintain them. Outdated instructions quietly degrade output quality over time. Here’s how to audit and evaluate your agent context before drift becomes rework. | Promoted by Packmind | Agents AI | | | — Mike Fisher | | tl;dr: “Designing systems means paying attention to how information flows, how decisions are made, and how tradeoffs are resolved when values collide. It means understanding that culture is not what leaders say, but what the system consistently rewards.” | Leadership Management | | “He who cannot be a good follower cannot be a good leader.” | | | | – Aristotle |
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| | | — Cate Hall | | tl;dr: “The bottleneck, it turns out, was never how fast I could take in information. It was always how much time I gave myself to do something with it. But, the pattern repeats: Discovering this doesn’t mean I’ve internalized it. I keep finding new areas of my life where the pressure to optimize is sabotaging the thing I'm attempting to improve.” | CareerAdvice | | | | tl;dr: Measure gaps in auth, admin UX, security, monitoring, and architecture for landing enterprise customers. Download today! | Promoted by Descope | Guide | | | — Daniil Bastrich | | tl;dr: “I’ve distilled a healthy, sustainable review process into an acronym: PERFECT. It prioritizes what truly matters - from business logic and edge cases to reliability and readability - while keeping subjective opinions in check. Here is how you can apply these principles to bring structure, clarity, and consistency to your code reviews.” | CodeReview | | | — Will Larson | | tl;dr: “I’m not writing these as an industry expert unveiling best practice, rather these are just the things that we’ve specifically learned along the way. If you’re developing internal frameworks as well, then hopefully you’ll find something interesting in these posts.” | Agents | | | | tl;dr: “The goal was ambitious: Provide a unified rate-limiting service that makes it easy for any team to configure per-caller or per-procedure quotas, without code changes. The design also needed to scale to hundreds of millions of requests per second, tens of thousands of service pairs, and across a fleet of hosts in different geographical regions, with minimal added latency.” | Architecture | | Most Popular From Last Issue | 14 More Lessons From 14 Years At Google - Addy Osmani | | Notable Links | Rowboat: OS AI coworker, with memory. | Textarea: Minimalist text editor that lives in URL. | Weathr: Terminal weather app with ascii animation. | ZeroClaw: Fast, small, and autonomous AI assistant infrastructure. | Zvec: OS in-process vector database. | |
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