Tech stories

Generative AI has access to a small slice of human knowledge

Huge swathes of human knowledge are missing from the internet. By definition, generative AI is shockingly ignorant too

JavaScript SpeechSynthesis API

As the web continues to be the medium for all users, standards bodies need to continue to provide new APIs to enrich user experience and accessibility. One underused API for unsighted users is speechSynthesis, an API to programmatically direct the browser to audibly speak any arbitrary string.

2025 In Review: What’s New In Web Performance?

Slow websites continue to be a problem and a lot of work is being done so developers can measure performance more effectively and fix performance issues.

Adobe & Amazon Forge Deeper AI Partnership to Transform Creativity

At Adobe and Amazon.com, Inc. deepen their AI-era partnership — using Amazon Web Services (AWS) infrastructure to power creative tools and marketing platforms.

You don’t need AI for everything: A reality check for developers

The pressure is on. Every conference, every tech blog, every corner of the internet is buzzing with AI agents, autonomous workflows, and the promise of a revolution powered by large language models (LLMs). As a developer, it’s easy to feel like you need to integrate AI into every feature and deploy agents for every task.

Who wins when we filter the open web through an opaque system?

The discussion was about threats to the open web due to the emergence of large language models (LLMs). Large parts of the web have always been open.

Tech predictions for 2026 and beyond

For much of the world, technology has become so intertwined with our day-to-day lives that it influences everything.

Good Enough Is a Strategy

Your competitors aren’t building perfect code either. If you spend 6 months building the theoretically perfect architecture, they’ll ship something “good enough” in 2 months and eat your lunch. You’ll have beautiful code that nobody uses.

What AI is Really For

After three years of immersion in AI, I have come to a relatively simple conclusion: it’s a useful technology that is very likely overhyped to the point of catastrophe

Four Product Discovery Models: A Practical Map

All tech companies have to choose what to build, but approaches vary — from top-down projects to bottom-up research and experimentation. Your company is probably somewhere on this gamut, but it’s not always a deliberate choice. It’s important to realize that these are not the only two possible models, and that there isn’t necessarily just one right answer.

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