Tag: developers

  • Why aren’t all images super-secure, or hardned?

    Here’s what I learned: container base images grew up as a developer convenience tool, not a security artifact. Installing extra packages from the command line is one of the first things any Docker tutorial teaches–Docker’s own Dockerfile guide includes apt-get install–and many of the most popular official images ship a full toolchain by default, with…

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  • The AI productivity debate

    A DX Annual panel of engineering leaders debates whether AI means fewer engineers, accelerates tech debt, and shifts the bottleneck to code review, concluding AI reshapes the task mix without eliminating engineers. The real stakes are in how leaders design roles, measure impact, and protect time to learn – culture and management problems more than…

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  • If speeding up coding was never the problem…then why are we spending money on speeding it up?

    When it comes to measuring developer productivity driven by AI, we’ll probably land on the same conclusion as always: counting lines of code isn’t as useful as measuring the full cycle time from idea to code to delivery to a person actually using the app – lead time, concept to cash, whatever you want to…

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  • The AI efficiency plateau

    DX data from 500+ companies shows AI coding time-savings spike fast but fade for two-thirds of developers, with even slower adopters dropping off. The likely cause isn’t tool or user failure but a bottleneck shifting from individual code production to team-level coordination. Summarized by AI. 🔗 The AI efficiency plateau

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  • Claude Code’s creator on the end of the software engineer

    Boris Cherny argues the “software engineer” title will start disappearing in 2026 as coding gets absorbed into a generic “builder” role, predicting 100x more people writing code (or directing agents to) even as individual companies hire fewer traditional engineers. He grounds the disruption in historical analogies (tractors, PCs, washing machines) while conceding “coding is solved”…

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  • Get a Good Return on Your AI Investments

    AI improves software throughput modestly but exposes weaknesses, increases cognitive and verification debt, and shifts engineering leverage toward strong internal platforms. Summarized by AI. 🔗 Get a Good Return on Your AI Investments

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  • Eval engineering: The missing piece of agentic AI governance

    Surveys the emerging “eval engineering” vendor landscape (Klover, Maxim, Arize, Conscium, Confident AI, Galileo) and argues the real story is cost/latency pressure pushing LLM governance toward sampling, async pipelines, and specialized small evaluator models. Summarized by AI. 🔗 Eval engineering: The missing piece of agentic AI governance

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  • Stack Overflow said 84% of respondents are using or planning to use AI tools in their development process, up from 76% a year earlier. In the AI section, 47.1% of respondents said they use AI tools daily, and another 17.7% use them weekly. Yet developers’ trust has not kept pace. Stack Overflow’s analysis said trust…

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  • Vibes, Code, Consequences

    Vibes, Code, Consequences

    A selection from my weblog and elsewhere since last time… Original content Whitney goes to KubeCon – a cross-over episode from SDT: “This week, Whitney Lee joins us to discuss KubeCon news, Coding Assistants, and conference tips. Plus, vegan food and note-taking recommendations.” What is a platform? – Tony and I start a new weekly,…

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  • 🤖 Open Source Maintainers Are Burning Out and Walking Away

    Summarized by AI. Open source software is sustained by overworked, often unpaid volunteers, many of whom face crushing workloads and relentless community pressure. A recent study by Miranda Heath, supported by Sentry’s Open Source Pledge, reveals that burnout among maintainers is not an isolated issue but a systemic failure threatening the stability of the global…

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  • “If the people building the tech are terrified of it, maybe we should listen to their fears rather than their sales pitch.” Ten Blue Links, “Pop goes the bubble” edition

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  • There’s probably around 50 million developers world-wide, and 20.5m professional developers. That’s what I’d start saying after seeing a chart from IDC’s September 2025 developer study update. They forecast it to be ~59 million in 2029. If you want to be very precise, a breakdown of the survey puts “professional developers” at around 20.8m in…

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  • 🤖 AI Security Loops: When Coding Assistants Become Their Own Risk

    Developers are embracing AI coding tools to accelerate software creation, but the resulting security landscape is increasingly complex. While AI can detect threats and debug code, relying on it exclusively creates a recursive loop where the same AI that writes code may also incorrectly validate or approve it. Summarized by AI. Source summarized: Shifting Security…

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  • Untitled post 53742

    I’m creating a State of Spring [Framework] talk, just 20 minutes. The focus isn’t so much on the framework, but the community around it. This, of course, means Java too. Here’s some numbers. What do you think about the Spring and Java community and developers who use Spring and Java?

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  • A meeting is not work, it’s talking about work.

    As always, if you want your people to get more work done, interrupt them less and invite them to less meetings. This applies to all people, not just programmers. A meeting is not work, it’s talking about work. 🔗 Meetings and interruptions are still the biggest obstacles for developers, even with AI

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  • Everybody talks about digital transformation, but nobody does anything about it.

    Everybody talks about digital transformation, but nobody does anything about it.

    Recording of my AI platform engineering talk This is a new talk of mine going over how platform engineers can support AI. Well, it’s more about how we don’t exactly know, but we can speculate based on a handful of early use cases. Here’s the slides if you’re into that kind of thing. Here’s the…

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  • Recording of my AI platform engineering talk

    This is a new talk of mine going over how platform engineers can support AI. Well, it’s more about how we don’t exactly know, but we can speculate based on a handful of early use cases. Here’s the slides if you’re into that kind of thing. Here’s the 🤖 on my key points: Platform engineering…

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  • Atlassian acquires DX, a developer productivity platform, for $1B – That’s a good match, and a quick exit.

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  • How Pair Programming Enhanced Development Speed, Focus, and Flow –

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  • The Prompt Engineering Playbook for Programmers –

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