Tag: software

  • Relative to your interests, Friday afternoon

    Relative to your interests, Friday afternoon

    What’s a software CEO to do in the current climate? Here’s the urgent 2026 playbook – Playbook for software companies that are (forced to) switch from growth mode to normal company mode. Anthropic raises $30 billion in Series G funding at $380 billion post-money valuation \ Anthropic – “Today, our run-rate revenue is $14 billion,…

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  • If everyone can ship software, what will distinguish the successful companies from the apps that are lost in the noise? It’s no longer enough to just spend more time coding, or to be the first with a good idea. I think it’s going to become even more important to grow other aspects of running a…

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  • To have full sovereign IT, you need to build the software from the ground up. 🔗 two questions on software “sovereignty”

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  • Debating AI dicks is pointless

    He’s never been a fan of AI: I’ve stopped trying to debate software developers on LLMs…this is still a crowd that is explicitly fine with using tools that are themselves deeply unethical.” Going all “but it works great for me” even as the industry burns around you and the “it” is a right-wing political project…

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  • Related to your interests, Thursday

    Harry Clarke’s Elixirs of Life 9 Terms That Helped Navigate a Confusing Year in Art – “It’s art that blends street art, Pop art, sneakerhead culture, merch-drop dynamics, and memes into a mix that is the opposite of reverential.” Nobody knows how large software products work – “It’s easier to write software than to explain…

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  • A race against software calcification

    Eventually, software is very hard to change. There are numerous reasons for this, and they often don’t even involve the software. The systems that run the software are old, regulators don’t let you change things, security controls, people have just forgotten how to program COBOL. There is so much code that it’s hard to know…

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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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  • ”Tech is a pop culture.”

    ”Tech is a pop culture. Very few of the decisions made in the industry are made rationally or empirically. Studies and tests are used to justify the emotional decisions of the executive or management class. Infrastructure and stack decisions are made hedonistically – “cool” tech that makes the engineers and devs feel good about themselves…

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  • tech-culture sayings

    “Laws can be opinions on inevitabilities in the world of software engineering, or wry observations on unavoidable realities.” // A round-up of all those laws and bromides tech world people use. 🔗 Hacker Laws

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  • Programmer aesthetics: “your engineering taste is composed of the set of engineering values you find most important.”

    Programmer aesthetics: “your engineering taste is composed of the set of engineering values you find most important.” // And: “most bad taste comes from inflexibility. I will always distrust engineers who justify decisions by saying ‘it’s best practice.’ No engineering decision is ‘best practice’ in all contexts! You have to make the right decision for…

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  • Training for Legacy – Press Pass

    Training for Legacy – Press Pass Elisabeth Greenbaum Kasson asked me recently for advice on working with legacy applications. Check out her piece on it. Here’s the full reply I sent to her in email: Her topics: – The steps someone could take to get themselves up to speed on their employer’s legacy software. –…

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  • ai-development-patterns, PaulDuvall – ”A comprehensive collection of patterns based on my experience for building software with AI assistance, organized by implementation maturity and development lifecycle phases. These patterns are subject to change as the field evolves.”

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  • Identify, solve, verify – “My job is to identify problems that can be solved with code, then solve them, then verify that the solution works and has actually addressed the problem.”

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  • The Product Engineer – “If you build Enterprise Software, you need product managers.” // If consumer, you need developers who use the product.

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  • How to find waste with the robot

    How to find waste with the robot

    My first law of enterprise AI: if you end up having two robots talk with each other to complete a task, that task was bullshit in the first place, and you should probably eliminate it rather than automate it. For example, if AI is used in both sides of B2B procurement (enterprise software sales), then…

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  • The reality of long-term software maintenance – Ashley’s blog – “In the long run maintenance is a majority of the work for any given feature, and responsibility for maintenance defaults to the project maintainers”

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  • The Product Model Solves For Tech Debt – ”Forrester does not recommend ROI as a criteria for deciding to rectify technical debt, which should be seen more as essential maintenance spend.” // If you ran rail company they shouldn’t spend money on train maintenance, they’d tell you would kill the business (and people). Software is…

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  • The Product Model Solves For Tech Debt – ”Forrester does not recommend ROI as a criteria for deciding to rectify technical debt, which should be seen more as essential maintenance spend.” // If you risk rail company they shouldn’t spend money on train maintenance, they’d tell you would kill the business (and people). Software is…

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  • Cognitive load is what matters – Legacy software can mean: when changing the code requires too much cognitive load.

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  • The Other Bubble – What the enterprise software market looks like from the outside. Also with a side of AI-washing.

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