16 stories
Your agent can fetch a page. It can also submit a form. Those are not the same permission. On October 9, 2026, Anthropic published Investigating unintended model actions in our evaluations and internal use (also on their research site).
Search Console is the most useful SEO data most developers never open. It tells you which queries show your pages, how often people click and where you rank. Turning that into "fix these three things this week" is tedious table work, which is exactly what agents are good at.
I built a pipeline that translates the articles I write on Zenn into English and publishes them on dev.to too. I translate locally with Claude Code, and when I push to main, GitHub Actions publishes, updates, or unpublishes the article on dev.to.
Standard AI chatbots can recall past conversations, but retrieving stored data isn't the same as knowing which piece of information is currently valid. We built Recall, an open-source Telegram bot, to solve this exact problem for group chats.
Build an AI agent from scratch in TypeScript with only a model API and a loop. Covers tool calling, parallel tool calls, and a bug no framework can fix.
The way we evaluate web frameworks needs to catch up with the way we build software. For years, a large integration catalog was a powerful selling point. If a framework had a plugin for your CMS, image service, or frontend library, that could save days of work.
Most code that calls a model has one line that looks harmless. model: "claude-sonnet-5" Changing it feels like a config change. But that string is part of an API contract. And this month, the contracts changed. On September 17, Google released Antigravity Agent 09-2026.
The flagship model of modern deterministic-probabilistic decision engines does not write you a paragraph. It does not tell you a story, apologize for its limitations, or generate a list of caveats. It answers a typed question and hands you back a number.
A customer clicks Place Order. The spinner turns… and turns… then: Request timed out. So they click again. Now you have two orders, two charges, and one angry support ticket. Here's the uncomfortable truth: a timeout tells you nothing about whether the server did the work.
In Part 3, I introduced the optional AI layer in AdaptTable v3. This article goes deeper into how to connect it, how an agent discovers the table’s capabilities, how context is selected, and how an application can extend that capability set without building a separate AI tool layer for the table.
TL;DR: Treat recorded speech moderation as a batch pipeline: transcribe the complete recording, moderate the text, then let the code-review agent return structured findings. Do not call that real-time moderation.
generateText with a model and a prompt and nothing else is a valid call. TypeScript is satisfied. The type system has no opinion about how many tokens come back, how long it takes, or who pays for the answer nobody reads.
First published on openspec-ui.dev. The last article argued that a shared core is what keeps a VS Code extension and a web app from drifting apart. Two days after it went out, a new agent arrived, and it is as good a test of that argument as any: DeepSeek, over the Agent Client Protocol, requested…
If you give an LLM access to your code, you write tools. A tool is a function plus what a model needs to call it: a name, a description, and a schema for the arguments. Then you write the same tools again. The first version uses the AI SDK's tool().
The fastest way to connect an AI agent to application data is often a generic SQL tool. Give the model a schema, accept a SQL string, run it, and return the rows. That is also where a prototype can quietly become a production security and maintenance problem.
A chargeback is not a single API request. It is a case that can remain open for days while evidence arrives, deadlines approach, and a reviewer decides what should happen next. That makes chargeback handling an interesting systems problem.
Showing 16 of 16 stories
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