Tag: APIs
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only half bad
A vision for a kinder post-AI meltdown. Also, speculation about where AI code generation will stick and not stick. 🔗 GenAI Predictions
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They advocate for using JSON (with comments) over YAML
They advocate for using JSON (with comments) over YAML: “Generating json as a better yaml Often the choice of format is not ours to make, and an application only accepts yaml. Not all is lost though, because yaml is a superset of json, so any tool that can produce json can be used to generate…
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Feeding the hungry robot with your video content
Doing SEO for the LLMs so that your content can be found. 🔗 AEO for YouTube: How to Get Your Videos Cited by ChatGPT
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”advanced Unicode manipulation” Free Glitch Text Generator – Create Distorted & Zalgo Text Effects
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Open Source Has Too Many Parasocial Relationships – “If you want the software to get updated—to have bugs fixed and security vulnerabilities patched—you want something very different. What you want is an ongoing supply of software, not a copy of a specific software artifact.” // A good overview of updating OSS software versus a one-time…
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How To Build Agentic AI That Ships – The New Stack – “Ninety-five percent of AI initiatives should be expected to fail as long as we ignore these pitfalls: Models are generic. Enterprises are unique. Ideal use cases aren’t flashy. Coordination across teams is hard.” // Lots of other good executive think too, especially being…
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10 Months into AI Agents : Which Are Used Most? – Feels like it’s primarily about supporting programming, not doing things in apps. // Not sure about the methodology and source for this chart, tho.
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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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neiltron/apple-health-mcp – Export Apple Health data to a CSV. Good for handing over to the robots.
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Code was the least interesting part of my multi-agent app, and here’s what that means to me – Less time coding means more time designing and product managing.
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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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How Snowflake’s DevProd team operates –
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The Am Dash – A version of the m-dash that’s purposefully human.
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Expert Generalists – ”Traditional interview loops still revolve around product trivia – “Explain Spark’s shuffle stages,” “How does Databricks Delta time-travel work?” A candidate who has never touched those tools can still be exactly the kind of person we need: someone who quickly grasps unfamiliar concepts, breaks complex systems into manageable parts, and collaborates across…
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SB Payment Service Scales Applications with VMware Tanzu Platform – “SB Payment Service offers multiple e-commerce merchants a centralized service that integrates various payment methods through a single API. With a lean team of 20 developers and five operators, SB Payment Service has achieved remarkable success using Tanzu Platform, processing a staggering 8 trillion yen…
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Let’s talk about conversion optimisation and how we’re approaching it – Some web page marketing hacks (not exactly “dark patterns,” more like “twilight patterns”) and general funnel management tips with digital channels.
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Edisum: Summarizing and Explaining Wikipedia Edits at Scale – A prompt for summarizing edits made to text.
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Scaling Vibe-Coding in Enterprise IT: A CTO’s Guide to Navigating Architectural Complexity, Product Management and Governance devops.com/scaling-v… There’s some AI middleware considerations (people stuff) towards the end of this how to enterprise vibe coding (in the expansive definition of vibe coding, just using AI to help write code). Part of it is: you still have…
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alto.index – Transform Your Apple Apps Data into AI-Ready Markdown – Export stuff from your Apple apps.
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The Prompt Engineering Playbook for Programmers –
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