Tuesday 6th January issue is presented by Resolve AI |
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Code from Claude is about to hit prod, but it doesn’t have to be painful. |
Engineering teams at Coinbase, MSCI, and Zscaler use Resolve AI to resolve incidents and code with production context using AI that works across code, infra, and telemetry. |
The results mean 70% faster MTTR, 30% fewer engineers pulled in per incident, and thousands of saved eng hours. |
This eBook covers how AI for prod changes core engineering workflows, what to expect from multi-agent systems, and how teams evolve when agents coordinate investigations, preserve knowledge, and act with guardrails. |
→ IRL talk: Learn how Coinbase uses AI for prod at Thursday’s online event with Coinbase Staff Engineer, Angelo Marletta. |
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— Subbu Allamaraju |
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tl;dr: “A year ago, I compiled twenty tiny leadership lessons. That article resonated with many. Here are five more based on what I observed and felt in 2025. I hope you find these ideas helpful”: (1) Learn to deliver big things. (2) Don’t start with resources. (3) Share space. (4) There is more to technical strategy than writing it down. (5) Do less harm. |
Leadership Management |
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— Shreyas Doshi |
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tl;dr: “Thinking is the foundation of everything we do and, for most of us that foundation has many cracks. Here are 10 ideas to consider in 2026. These ideas are not for everyone, but useful for some.” |
CareerAdvice |
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— Manveer Sahota, Mayank Agarwal |
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tl;dr: AI has become a part of engineering, from code to prod. This year, more companies are mandated to utilize and optimize their workflows and output with AI. Discussions shift from “should we?” to “how do we choose the best tools?” This post covers the 6 evaluation criteria every engineering leader should consider when evaluating an AI SRE, from integration and triage to change awareness and extensibility. |
Promoted by Resolve AI |
BestPractices AI |
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tl;dr: Most leaders can delegate simple things - e.g. teams, metrics - pretty well. Most leaders struggle with delegating complex skills or responsibilities. Herein we’ll discuss two proven methods for delegating complex tasks that you can use right away - exponential training and suboptimal standardization. |
Leadership Management |
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“The beginning is the most important part of the work.” | | | | – Plato |
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— Addy Osmani |
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tl;dr: “In this article, I’ll share how I plan, code, and collaborate with AI going into 2026, distilling tips and best practices from my experience and the community’s collective learning. It’s a more disciplined “AI-assisted engineering” approach - leveraging AI aggressively while staying proudly accountable for the software produced.” |
LLM Productivity |
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tl;dr: As AI helps teams ship more code, the real slowdown has shifted to test failures. Every red build still kicks off a manual 28-minute hunt across logs, past runs, stack traces, and Jira tickets. BrowserStack's Test Failure Analysis Agent eliminates that hunt by synthesising test reports, logs, stack traces, history, similar failures and more to identify the root cause, categorize failures, and suggest actionable next steps for remediation, helping teams analyze failures 95% faster. |
Promoted by BrowserStack |
Performance AI |
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tl;dr: “We have a name for this. We call it “Error Handling.” But in reality, it’s just Error Forwarding. We treat errors like hot potatoes—catch them, wrap them (maybe), and throw them up the stack as fast as possible.” |
Tests |
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— Arpit Bhayani |
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tl;dr: “Clock synchronization sits at the core of some of the most challenging problems in distributed systems, affecting everything from database consistency to debugging to financial transactions.” |
LanguageDesign |
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— Murat Demirbas |
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tl;dr: “A paper in Nature reports that GPT-4 exhibits "state anxiety". When exposed to traumatic narratives, the model's responses score much higher on a standard psychological anxiety inventory. The jump is large, from "low anxiety" to levels comparable to highly anxious humans. The same study finds that therapy works: mindfulness-style relaxation prompts reduce these scores by about a third, though not back to baseline. The authors argue that managing an LLM's emotional state may be important for safe deployment, especially in mental health settings and perhaps in other mission-critical domains.” |
TimeData DeepDive |
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Most Popular From Last Issue |
5 Things Managers Do That Leaders Never Would — Simon Sinek |
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Notable Links |
Agent Scripts: Scripts for agents, shared between repos. |
Brisk: Modern download manager for desktop. |
Design OS: Powers a guided design and architecture process. |
Taws: Terminal UI for AWS. |
Worktrunk: CLI for Git worktree management. |
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How did you like this issue of Pointer? 1 = Didn't enjoy it all // 5 = Really enjoyed it | | 1 | 2 | 3 | 4 | 5 |
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