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irrationalfab

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Agreed. It is ironic that in the AI race, the real differentiation may not come from how smart the model is, but from who builds the best application layer on top of it. And that application layer is built with the same kind of software these models are supposed to commoditize.

Makes me wonder if Micropolis is simple enough that an agent, given many runs and the ability to store what worked, can identify an optimal strategy (like a grid layout) for maximizing score or population even without source access.

+1... like with a large enough engineering team, this is ultimately a guardrails problem, which in my experience with agentic coding it’s very solvable, at least in certain domains.

Agent/MCP/Skills might be "Netscape-y" in the sense that today's formats will evolve fast. But Netscape still mattered: it lost the market, not the ideas. The patterns survived (JavaScript, cookies, SSL/TLS, progressive rendering) and became best practices we take for granted.

The durable pattern here isn't a specific file format. It's on-demand capability discovery: a small index with concise metadata so the model can find what's available, then pull details only when needed. That's a real improvement over tool calling and MCP's "preload all tools up front" approach, and it mirrors how humans work. Even as models bake more know-how into their weights, novel capabilities will always be created faster than retraining cycles. And even if context becomes unlimited, preloading everything up front remains wasteful when most of it is irrelevant to the task at hand.

So even if "Skills" gets replaced, discoverability and progressive disclosure likely survive.

There's a pattern I keep seeing: LLMs used to replace things we already know how to do deterministically. Parsing a known HTML structure, transforming a table, running a financial simulation. It works, but it's like using a helicopter to cross the street: expensive, slow, and not guaranteed to land exactly where you intended.

The real opportunity with Agent Skills isn't just packaging prompts. It's providing a mechanism that enables a clean split: LLM as the control plane (planning, choosing tools, handling ambiguous steps) and code or sub-agents as the data/execution plane (fetching, parsing, transforming, simulating, or executing NL steps in a separate context).

This requires well-defined input/output contracts and a composition model. I opened a discussion on whether Agent Skills should support this kind of composability:

https://github.com/agentskills/agentskills/issues/11

Claude in Chrome 7 months ago

Anthropic is positioning Claude in Chrome as a beta feature for day to day use, expanding beyond the earlier research preview.

- Pull data from dashboards into one analysis doc

- Address slide comments automatically

- Build with Claude Code, test in Chrome

https://www.youtube.com/watch?v=rBJnWMD0Pho

Apps SDK 10 months ago

If those features aren't supported by the widget's hard-coded schema, you're out of luck as a user.

Chat paired to the pre-built and on-demand widgets address this limitation.

For example, in the keynote demo, they showed how the chat interface lets you perform advanced filtering that pulls together information from multiple sources, like filtering only Zillow housers near a dog park.

Apps SDK 10 months ago

This feels like the death of the app, and the rise of the micro-app.

Very interesting tech. Ephemeral, high-fidelity preview environments that require zero setup are a key enabler. They let you rapidly validate changes within the complete context of a web or mobile app, accelerating feedback loops and cutting friction for minor updates. This also empowers business users to safely implement small, self-contained UI adjustments which is particularly powerful when combined with LLM-driven suggestions.

Cursor CLI 12 months ago

Ironically, LLMs might make it very hard for new frameworks to gain popularity since they are trained on the popular ones.

Thank you for making this. I like it and I will give it a try, nonetheless the first impression is good.

As the other comments point out the copy is very bad. I think that you should improve it and that HN commenters should check things out before writing. To be honest I've only tried because of the backslash (I don't like to install extensions from non authoritative sources).

Finally, this is a nice extension... but if a frame is your concept of ambition, you should reread PG's essay.

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This is an extension that replaces google with a sidebar loading immediately the first page that you search. It allows to browse among the search results quickly.

It looks like a regression (it is the first time that I say it with a redesign). From the technical point the might be great, but they are more bold and result in a pages that look less clean.

However I don't care about the icons so much, what I want is:

- better notifications / activity stream

- like button

- improved diff (highlight only the changes inline if a line changed slightly)

Another great alternative is to join an open source project. Your learning will be skyrocketed comparing to what you'll learn by your self in a give amount of time.

The only missing feature that prevents it to become the ultimate HN extension is to show an icon in the address bar that links the a web page to the HN thread (if available).

Keep up the great work!

The Objective-C syntax doesn't look strange to me, yet its verbosity make the whole picture more difficult to grasp than in Ruby in my opinion. It's somehow like difference between a document and a bullet point reppresentation of it.

However, I haven't made my mind yet about RubyMotion. There are some propositions for it and some against and a lot has to come in the next weeks. Let's see what will happen.

Note: I have been coding in Objective-C for two years and in Ruby for 1-2 months.