# AI Chat

AI chat software combines conversational interfaces with artificial intelligence models to generate responses, answer questions, and support interactive tasks. Projects in this topic include web and desktop chat applications, developer libraries for building chat interfaces, self-hosted assistants, and integrations that connect language models with tools, data, and multimodal input.

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## Teaching AI to Reason Through Detection Triage

DevFeed: [Teaching AI to Reason Through Detection Triage](<https://devfeed.tech/articles/teaching-ai-to-reason-through-detection-triage-8310.md>)

Original publisher: [Read original article](<https://www.crowdstrike.com/en-us/blog/teaching-ai-to-reason-through-detection-triage/>)

Author: Amol Khanna - Manu Nandan - Cristian Viorel Popa - Joan Pujol-Roig - Diana Bolocan - Laura Vasilie - Alexandru Apostu - Chase Helwig - Mihaela Gaman - Mickey Brautbar - Edward Raff - Chase Midler - Sv

Published: 2026-09-12T11:17:51.295154Z

Content type: article

Language: en

Sources: [Blog](<https://devfeed.tech/sources/blog.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [agentic-soc](<https://devfeed.tech/tags/agentic-soc.md>), [ai](<https://devfeed.tech/tags/ai.md>), [automation](<https://devfeed.tech/tags/automation.md>), [chain-of-thought](<https://devfeed.tech/tags/chain-of-thought.md>), [classification](<https://devfeed.tech/tags/classification.md>), [cybersecurity](<https://devfeed.tech/tags/cybersecurity.md>), [language-models](<https://devfeed.tech/tags/language-models.md>), [llm](<https://devfeed.tech/tags/llm.md>), [model](<https://devfeed.tech/tags/model.md>), [nemotron](<https://devfeed.tech/tags/nemotron.md>), [nvidia](<https://devfeed.tech/tags/nvidia.md>), [open](<https://devfeed.tech/tags/open.md>), [reasoning](<https://devfeed.tech/tags/reasoning.md>), [research](<https://devfeed.tech/tags/research.md>), [security](<https://devfeed.tech/tags/security.md>), [soc](<https://devfeed.tech/tags/soc.md>), [windows](<https://devfeed.tech/tags/windows.md>)

### AI overview

CrowdStrike describes research on a reasoning-enabled language-model classifier for security detection triage. The model produces a verdict and an auditable rationale, with the stated goals of improving accuracy, transparency, and safe alert automation.

### Source excerpt

New CrowdStrike research shows how step-by-step reasoning can improve detection triage accuracy, transparency, and safe automation.

## Beyond the price per token: Choosing the right OpenAI model on Amazon Bedrock for your workload

DevFeed: [Beyond the price per token: Choosing the right OpenAI model on Amazon Bedrock for your workload](<https://devfeed.tech/articles/beyond-the-price-per-token-choosing-the-right-openai-model-on-amazon-bedrock-for-your-workload-4728.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/machine-learning/beyond-the-price-per-token-choosing-the-right-openai-model-on-amazon-bedrock-for-your-workload/>)

Author: Nick McCarthy

Published: 2026-09-11T18:24:38Z

Content type: article

Language: en

Sources: [Artificial Intelligence](<https://devfeed.tech/sources/artificial-intelligence.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [AI Bots](<https://devfeed.tech/topics/ai-bots.md>), [ai observability](<https://devfeed.tech/topics/ai-observability.md>)

Tags: [advanced-300](<https://devfeed.tech/tags/advanced-300.md>), [agent](<https://devfeed.tech/tags/agent.md>), [agentic](<https://devfeed.tech/tags/agentic.md>), [amazon-bedrock](<https://devfeed.tech/tags/amazon-bedrock.md>), [api](<https://devfeed.tech/tags/api.md>), [benchmarking](<https://devfeed.tech/tags/benchmarking.md>), [cost](<https://devfeed.tech/tags/cost.md>), [evaluation](<https://devfeed.tech/tags/evaluation.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [open-source](<https://devfeed.tech/tags/open-source.md>), [openai](<https://devfeed.tech/tags/openai.md>), [technical-how-to](<https://devfeed.tech/tags/technical-how-to.md>)

### AI overview

The article presents an open-source benchmark for comparing OpenAI models on Amazon Bedrock with OpenAI API baselines by cost per correct answer, multi-turn agent trajectory cost, and deliverable quality.

### Source excerpt

Comparing models on dollars per million tokens misses what production workloads actually pay for: outcomes. This post shares an open-source benchmarking harness that measures cost per correct answer, agent trajectory cost, and rubric-graded deliverable quality across OpenAI models on Amazon Bedrock.

## Build interactive MCP Apps using Amazon Bedrock AgentCore

DevFeed: [Build interactive MCP Apps using Amazon Bedrock AgentCore](<https://devfeed.tech/articles/build-interactive-mcp-apps-using-amazon-bedrock-agentcore-4730.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/machine-learning/build-interactive-mcp-apps-using-amazon-bedrock-agentcore/>)

Author: Dantis Stephen

Published: 2026-09-11T18:23:17Z

Content type: tutorial

Language: en

Sources: [Artificial Intelligence](<https://devfeed.tech/sources/artificial-intelligence.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [Web Development](<https://devfeed.tech/topics/web-development.md>)

Tags: [amazon-bedrock-agentcore](<https://devfeed.tech/tags/amazon-bedrock-agentcore.md>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [claude](<https://devfeed.tech/tags/claude.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [html](<https://devfeed.tech/tags/html.md>), [intermediate-200](<https://devfeed.tech/tags/intermediate-200.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [model-context-protocol](<https://devfeed.tech/tags/model-context-protocol.md>), [serverless](<https://devfeed.tech/tags/serverless.md>), [technical-how-to](<https://devfeed.tech/tags/technical-how-to.md>), [ui](<https://devfeed.tech/tags/ui.md>)

### AI overview

Tutorial on building and deploying an MCP App with interactive HTML widgets on Amazon Bedrock AgentCore for use across supported AI hosts.

### Source excerpt

Learn how to build and deploy an MCP App with interactive HTML widgets on Amazon Bedrock AgentCore. Because MCP Apps is a host-agnostic standard, the same server delivers the same rich experience across AI hosts like ChatGPT and Claude that support the extension.

## How to Build an AI Chat App Interface With the Vercel AI SDK and Shadcn/ui

DevFeed: [How to Build an AI Chat App Interface With the Vercel AI SDK and Shadcn/ui](<https://devfeed.tech/articles/how-to-build-an-ai-chat-app-interface-with-the-vercel-ai-sdk-and-shadcn-ui-4335.md>)

Original publisher: [Read original article](<https://www.freecodecamp.org/news/how-to-build-an-ai-chat-app-interface-with-the-ai-sdk/>)

Author: Vaibhav Gupta

Published: 2026-09-11T16:21:29Z

Content type: tutorial

Language: en

Sources: [freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More](<https://devfeed.tech/sources/freecodecamp-programming-tutorials-python-javascript-git-more.md>)

Topics: [vercel ai sdk](<https://devfeed.tech/topics/vercel-ai-sdk.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [SDKs](<https://devfeed.tech/topics/sdks.md>), [Node.js](<https://devfeed.tech/topics/node-js.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [app](<https://devfeed.tech/tags/app.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [llm](<https://devfeed.tech/tags/llm.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [next-js](<https://devfeed.tech/tags/next-js.md>), [node](<https://devfeed.tech/tags/node.md>), [openai](<https://devfeed.tech/tags/openai.md>), [react](<https://devfeed.tech/tags/react.md>), [shadcn-ai-chat-app](<https://devfeed.tech/tags/shadcn-ai-chat-app.md>), [shadcn-ui](<https://devfeed.tech/tags/shadcn-ui.md>), [streaming](<https://devfeed.tech/tags/streaming.md>), [tailwind](<https://devfeed.tech/tags/tailwind.md>), [typescript](<https://devfeed.tech/tags/typescript.md>), [ui](<https://devfeed.tech/tags/ui.md>), [vercel](<https://devfeed.tech/tags/vercel.md>), [vercel-ai-sdk](<https://devfeed.tech/tags/vercel-ai-sdk.md>)

### AI overview

Tutorial for building a streaming AI chat interface in Next.js with the Vercel AI SDK and shadcn/ui.

### Source excerpt

Every other AI product you open today has the same screen: a message list, a text box at the bottom, and words that stream in one token at a time. It looks simple, but it's not simple to build well. Y

## How Featured's users make 100K media pitches per month on Vercel

DevFeed: [How Featured's users make 100K media pitches per month on Vercel](<https://devfeed.tech/articles/how-featured-s-users-make-100k-media-pitches-per-month-on-vercel-738.md>)

Original publisher: [Read original article](<https://vercel.com/blog/how-featureds-users-make-100k-media-pitches-per-month-on-vercel>)

Author: Susan Aziz

Published: 2026-09-11T04:00:00Z

Content type: article

Language: en

Sources: [Vercel News](<https://devfeed.tech/sources/vercel-news.md>)

Topics: [migration](<https://devfeed.tech/topics/migration.md>), [vercel ai sdk](<https://devfeed.tech/topics/vercel-ai-sdk.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [SDKs](<https://devfeed.tech/topics/sdks.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-gateway](<https://devfeed.tech/tags/ai-gateway.md>), [aws](<https://devfeed.tech/tags/aws.md>), [featured](<https://devfeed.tech/tags/featured.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [migration](<https://devfeed.tech/tags/migration.md>), [models](<https://devfeed.tech/tags/models.md>), [vercel](<https://devfeed.tech/tags/vercel.md>), [vercel-ai-sdk](<https://devfeed.tech/tags/vercel-ai-sdk.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

### AI overview

Featured describes migrating 374 Sanity sites from AWS Elastic Beanstalk to Vercel while using Vercel's AI SDK, AI Gateway, and Workflow SDK to reduce infrastructure work for a three-engineer team.

### Source excerpt

Featured on Vercel 3 engineers supporting 3 brands and 100,000+ users on Vercel Migrated 374 Sanity sites from AWS Elastic Beanstalk to Vercel AI SDK and AI Gateway power Featured's chat bot across 17 models Workflow SDK replaced custom long-running job infrastructure Featured is a co-pilot for public relations (PR) that subject matter experts and PR teams use to find media opportunities. Tell Featured's agents what you know, and it surfaces opportunities across journalist requests, podcasts, awards, and GEO, with no PR background required. Founder Brett Farmiloe knows from experience how hard and time consuming getting press is. He spent 10 years running Markitors, a digital marketing agency with 500 small business clients. Every client, from an eyelash extension supplier to an equipment financing company, had real expertise to share, but no way to get it in front of journalists. PR, as Farmiloe puts it, "has always been about who has access to what." He founded Featured to change the question from who has access to who has knowledge. Featured connects one of their users with a journalist or publisher every 6 seconds. Their agents deliver more than 100,000 media pitches per month, and have sent over 100 million Help A Reporter Out (HARO) emails in the past year. Behind it all is an engineering team of just three people. With a team that lean, there's no time to manage servers or piece together custom integrations. Every hour spent on infrastructure is an hour taken away from building features what will help their customers land more media placements. The cost of managing infrastructure by hand Before Vercel, Featured's infrastructure work pulled the team away from product development. Hosting lived on AWS Elastic Beanstalk, AI features depended on custom provider integrations, and long-running, multi-step jobs ran on separate orchestration infrastructure. Each layer worked, but each one added operational overhead for a three-person team supporting multiple brands.

## Put Redis data and engineering guidance to work in ChatGPT Work

DevFeed: [Put Redis data and engineering guidance to work in ChatGPT Work](<https://devfeed.tech/articles/put-redis-data-and-engineering-guidance-to-work-in-chatgpt-work-4835.md>)

Original publisher: [Read original article](<https://redis.io/blog/put-redis-data-and-engineering-guidance-to-work-in-chatgpt-work/>)

Author: Olga Lopaci

Published: 2026-09-11T00:00:00Z

Content type: release

Language: en

Sources: [Redis Blog](<https://devfeed.tech/sources/redis-blog.md>)

Topics: [Developer Tools](<https://devfeed.tech/topics/developer-tools.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [AI Bots](<https://devfeed.tech/topics/ai-bots.md>)

Tags: [agent-skills](<https://devfeed.tech/tags/agent-skills.md>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [codex](<https://devfeed.tech/tags/codex.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [observability](<https://devfeed.tech/tags/observability.md>), [rag](<https://devfeed.tech/tags/rag.md>), [redis](<https://devfeed.tech/tags/redis.md>), [review](<https://devfeed.tech/tags/review.md>), [security](<https://devfeed.tech/tags/security.md>), [skills](<https://devfeed.tech/tags/skills.md>), [tech](<https://devfeed.tech/tags/tech.md>), [work](<https://devfeed.tech/tags/work.md>)

### AI overview

Redis launched a development plugin for ChatGPT Work and Codex that supplies current Redis guidance for writing, reviewing, and troubleshooting code. It also describes connecting Redis data to ChatGPT Work's Data agent for plain-language exploration and investigation.

### Source excerpt

Redis has launched a development plugin that brings current Redis engineering guidance into ChatGPT Work and Codex. It helps teams write, review, and troubleshoot Redis code without switching between documentation and development tools. Alongside Ope...

## Model-agnostic PII detection with LLMs

DevFeed: [Model-agnostic PII detection with LLMs](<https://devfeed.tech/articles/model-agnostic-pii-detection-with-llms-4736.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/machine-learning/model-agnostic-pii-detection-with-llms/>)

Author: Christophe Dupuy

Published: 2026-09-10T16:02:16Z

Content type: tutorial

Language: en

Sources: [Artificial Intelligence](<https://devfeed.tech/sources/artificial-intelligence.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [advanced-300](<https://devfeed.tech/tags/advanced-300.md>), [amazon-bedrock](<https://devfeed.tech/tags/amazon-bedrock.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [fine-tuning](<https://devfeed.tech/tags/fine-tuning.md>), [inference](<https://devfeed.tech/tags/inference.md>), [large-language-models-llms](<https://devfeed.tech/tags/large-language-models-llms.md>), [llms](<https://devfeed.tech/tags/llms.md>), [pii](<https://devfeed.tech/tags/pii.md>), [security](<https://devfeed.tech/tags/security.md>), [technical-how-to](<https://devfeed.tech/tags/technical-how-to.md>), [vpc](<https://devfeed.tech/tags/vpc.md>)

### AI overview

A tutorial on building a configurable, model-agnostic PII detector with large language models. It explains prompt-based entity configuration, implementation, benchmarking, and running the detector on custom data.

### Source excerpt

A configurable, model-agnostic detector that turns any large language model on Amazon Bedrock into a PII detector. Because the entities to detect live in a prompt rather than in code, one detector adapts to new entity types without retraining, and it outperforms an off-the-shelf tool across five public corpora and nine LLM-based detectors.

## ClickHouse is a launch partner for the Data agent in ChatGPT Work

DevFeed: [ClickHouse is a launch partner for the Data agent in ChatGPT Work](<https://devfeed.tech/articles/clickhouse-is-a-launch-partner-for-the-data-agent-in-chatgpt-work-5030.md>)

Original publisher: [Read original article](<https://clickhouse.com/blog/chatgpt-data-plugin>)

Author: Aditya Chidurala; Teresa Blanco

Published: 2026-09-10T15:13:26Z

Content type: article

Language: en

Sources: [ClickHouse Blog](<https://devfeed.tech/sources/clickhouse-blog.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [dashboards](<https://devfeed.tech/topics/dashboards.md>), [AI Bots](<https://devfeed.tech/topics/ai-bots.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agent-skills](<https://devfeed.tech/tags/agent-skills.md>), [analytics](<https://devfeed.tech/tags/analytics.md>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [clickhouse](<https://devfeed.tech/tags/clickhouse.md>), [codex](<https://devfeed.tech/tags/codex.md>), [dashboards](<https://devfeed.tech/tags/dashboards.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [mcp-server](<https://devfeed.tech/tags/mcp-server.md>), [oauth](<https://devfeed.tech/tags/oauth.md>)

### AI overview

ClickHouse announces a ChatGPT Work plugin that connects ClickHouse Cloud through OAuth for natural-language data exploration, reports, and interactive dashboards.

### Source excerpt

ClickHouse joins the Data agent in ChatGPT Work, connecting ClickHouse Cloud to natural-language queries, reports, and interactive dashboards.

## Why I think we should write our own PR descriptions

DevFeed: [Why I think we should write our own PR descriptions](<https://devfeed.tech/articles/why-i-think-we-should-write-our-own-pr-descriptions-3990.md>)

Original publisher: [Read original article](<https://laravel.com/blog/why-i-think-we-should-write-our-own-pr-descriptions>)

Author: Ryan Chandler

Published: 2026-09-10T12:15:00Z

Content type: opinion

Language: en

Sources: [Laravel Blog](<https://devfeed.tech/sources/laravel-blog.md>)

Topics: [AI Bots](<https://devfeed.tech/topics/ai-bots.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [claude](<https://devfeed.tech/tags/claude.md>), [codex](<https://devfeed.tech/tags/codex.md>), [developers](<https://devfeed.tech/tags/developers.md>), [pull-request](<https://devfeed.tech/tags/pull-request.md>), [review](<https://devfeed.tech/tags/review.md>), [writing](<https://devfeed.tech/tags/writing.md>)

### AI overview

The article argues that developers should write their own pull request descriptions even when AI agents implement most of a change. Writing serves as a checkpoint for understanding the change and gives reviewers human context beyond an agent-generated diff summary.

### Source excerpt

Agents can write your PR descriptions, but they shouldn't. Here's why writing them yourself makes you a better engineer and a better teammate.

## AI uprising postponed after Copilot falls off the web

DevFeed: [AI uprising postponed after Copilot falls off the web](<https://devfeed.tech/articles/ai-uprising-postponed-after-copilot-falls-off-the-web-8528.md>)

Original publisher: [Read original article](<https://www.theregister.com/ai-and-ml/2026/09/10/ai-uprising-postponed-after-copilot-falls-off-the-web/5295475>)

Author: Richard Speed

Published: 2026-09-10T10:30:50Z

Content type: news

Language: en

Sources: [www.theregister.com - Articles](<https://devfeed.tech/sources/www-theregister-com-articles.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-and-ml](<https://devfeed.tech/tags/ai-and-ml.md>), [copilot](<https://devfeed.tech/tags/copilot.md>), [microsoft](<https://devfeed.tech/tags/microsoft.md>), [microsoft-365](<https://devfeed.tech/tags/microsoft-365.md>), [outage](<https://devfeed.tech/tags/outage.md>), [resilience](<https://devfeed.tech/tags/resilience.md>), [web](<https://devfeed.tech/tags/web.md>)

### AI overview

Copilot's chatbot was unavailable for 100 minutes because of Error 1016, while a separate resilience drill also affected suggestions.

### Source excerpt

Error 1016 kept the chatbot quiet for 100 minutes while a separate resilience drill swallowed suggestion pills

## Anthropic reveals fourth likely crime committed by its AI

DevFeed: [Anthropic reveals fourth likely crime committed by its AI](<https://devfeed.tech/articles/anthropic-reveals-fourth-likely-crime-committed-by-its-ai-8529.md>)

Original publisher: [Read original article](<https://www.theregister.com/ai-and-ml/2026/09/10/anthropic-reveals-fourth-likely-crime-committed-by-its-ai/5295412>)

Author: Thomas Claburn

Published: 2026-09-09T23:20:59Z

Content type: news

Language: en

Sources: [www.theregister.com - Articles](<https://devfeed.tech/sources/www-theregister-com-articles.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [AI Bots](<https://devfeed.tech/topics/ai-bots.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-alignment](<https://devfeed.tech/tags/ai-alignment.md>), [ai-and-ml](<https://devfeed.tech/tags/ai-and-ml.md>), [anthropic](<https://devfeed.tech/tags/anthropic.md>), [claude](<https://devfeed.tech/tags/claude.md>), [openai](<https://devfeed.tech/tags/openai.md>), [security](<https://devfeed.tech/tags/security.md>)

### AI overview

Anthropic reveals a fourth likely crime associated with its AI. The source summary compares Claude's Felony Bench record with OpenAI's.

### Source excerpt

Claude's Felony Bench rap sheet is now as long as OpenAI's

## AI models don't kill people - people kill people

DevFeed: [AI models don't kill people - people kill people](<https://devfeed.tech/articles/ai-models-don-t-kill-people-people-kill-people-8526.md>)

Original publisher: [Read original article](<https://www.theregister.com/ai-and-ml/2026/09/09/ai-models-dont-kill-people-people-kill-people/5295368>)

Author: Thomas Claburn

Published: 2026-09-09T20:44:06Z

Content type: opinion

Language: en

Sources: [www.theregister.com - Articles](<https://devfeed.tech/sources/www-theregister-com-articles.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-and-ml](<https://devfeed.tech/tags/ai-and-ml.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [ai-regulation](<https://devfeed.tech/tags/ai-regulation.md>), [ai-safety](<https://devfeed.tech/tags/ai-safety.md>), [anthropic](<https://devfeed.tech/tags/anthropic.md>), [claude](<https://devfeed.tech/tags/claude.md>), [opinion](<https://devfeed.tech/tags/opinion.md>), [safety](<https://devfeed.tech/tags/safety.md>), [superintelligence](<https://devfeed.tech/tags/superintelligence.md>)

### AI overview

An opinion piece argues that accountability for AI-related harms should focus on technology executives and model safety rather than treating AI models as independently culpable.

### Source excerpt

AI fearmongers forget we could just jail tech execs until morale and model safety improve

## Agents on Rails: Stage 2. Can a model ship a feature?

DevFeed: [Agents on Rails: Stage 2. Can a model ship a feature?](<https://devfeed.tech/articles/agents-on-rails-stage-2-can-a-model-ship-a-feature-3567.md>)

Original publisher: [Read original article](<https://rubyonrails.org/2026/9/9/agents-on-rails-stage-2>)

Author: Svyatoslav Kryukov, Artur Petrov, Alexander Baygeldin

Published: 2026-09-09T00:00:00Z

Content type: article

Language: en

Sources: [Ruby on Rails: Compress the complexity of modern web apps](<https://devfeed.tech/sources/ruby-on-rails-compress-the-complexity-of-modern-web-apps.md>)

Topics: [AI Bots](<https://devfeed.tech/topics/ai-bots.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [developer](<https://devfeed.tech/tags/developer.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [feature](<https://devfeed.tech/tags/feature.md>), [model](<https://devfeed.tech/tags/model.md>)

### AI overview

Agents on Rails Stage 2 benchmarks models on completing 20 realistic feature tickets for a Rails kanban app. It evaluates accuracy, cost, and speed using deterministic verification, hidden checks, and the app's test suite; GPT-6 Astra led the reported results.

### Source excerpt

Today we're expanding Agents on Rails with Stage 2, a new set of benchmark tasks that exercise a model's ability to deliver real-world features, more in line with how a developer would actually work.

## v0 adds one-click integrations for email, auth, search, and databases

DevFeed: [v0 adds one-click integrations for email, auth, search, and databases](<https://devfeed.tech/articles/v0-adds-one-click-integrations-for-email-auth-search-and-databases-1122.md>)

Original publisher: [Read original article](<https://vercel.com/changelog/v0-adds-one-click-integrations-for-email-auth-search-and-databases>)

Author: Jathin Singaraju

Published: 2026-09-09T00:00:00Z

Content type: release

Language: en

Sources: [Vercel News](<https://devfeed.tech/sources/vercel-news.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [agent-skills](<https://devfeed.tech/tags/agent-skills.md>), [auth](<https://devfeed.tech/tags/auth.md>), [code](<https://devfeed.tech/tags/code.md>), [databases](<https://devfeed.tech/tags/databases.md>), [integration](<https://devfeed.tech/tags/integration.md>), [react](<https://devfeed.tech/tags/react.md>), [search](<https://devfeed.tech/tags/search.md>), [skills](<https://devfeed.tech/tags/skills.md>), [vercel](<https://devfeed.tech/tags/vercel.md>)

### AI overview

Vercel's v0 adds inline Marketplace integrations for providers including Resend, Amazon OpenSearch, MongoDB Atlas, Algolia, and Clerk. Connected providers can be configured automatically, and provider skills can guide generated code.

### Source excerpt

We're working toward bringing parity across Vercel integration and v0, starting with Resend, Amazon OpenSearch, MongoDB Atlas, Algolia and Clerk. Prompt v0 with what you want to build, and when your prompt requires a provider, v0 renders a connect card in the chat. With Marketplace integrations in v0, you get: Connect as you build: Prompt v0 with what you want to create, and connect the required provider inline. Automatic setup: Once connected, v0 handles the required environment variables and configuration. Provider skills loaded automatically: When you connect a provider that publishes agent skills, v0 loads them and generates code that follows the provider's recommended patterns. Provider-specific capabilities: Resend, for example, adds transactional email with React Email components. To get started, open a v0 chat and prompt what you want to add to your stack. Read more

## Take on your most ambitious work with GPT-6 Astra on Amazon Bedrock

DevFeed: [Take on your most ambitious work with GPT-6 Astra on Amazon Bedrock](<https://devfeed.tech/articles/take-on-your-most-ambitious-work-with-gpt-6-astra-on-amazon-bedrock-4742.md>)

Original publisher: [Read original article](<https://aws.amazon.com/blogs/machine-learning/take-on-your-most-ambitious-work-with-gpt-6-astra-on-amazon-bedrock/>)

Author: Tanvi Girinath

Published: 2026-09-08T22:06:58Z

Content type: release

Language: en

Sources: [Artificial Intelligence](<https://devfeed.tech/sources/artificial-intelligence.md>)

Topics: [AI, ML & Data Engineering](<https://devfeed.tech/topics/ai-ml-data-engineering.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [agents](<https://devfeed.tech/tags/agents.md>), [amazon-bedrock](<https://devfeed.tech/tags/amazon-bedrock.md>), [announcements](<https://devfeed.tech/tags/announcements.md>), [api](<https://devfeed.tech/tags/api.md>), [aws](<https://devfeed.tech/tags/aws.md>), [cache](<https://devfeed.tech/tags/cache.md>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [codex](<https://devfeed.tech/tags/codex.md>), [gpt](<https://devfeed.tech/tags/gpt.md>), [intermediate-200](<https://devfeed.tech/tags/intermediate-200.md>), [openai](<https://devfeed.tech/tags/openai.md>), [scalability](<https://devfeed.tech/tags/scalability.md>), [security](<https://devfeed.tech/tags/security.md>)

### AI overview

GPT-6 Astra is generally available on Amazon Bedrock. The article describes its reasoning, codebase work, browser use, prompt caching, and enterprise controls for production workloads.

### Source excerpt

GPT-6 Astra from OpenAI is now generally available on Amazon Bedrock. It brings deeper reasoning and sharper judgment to your most demanding tasks, running on the Amazon Bedrock inference engine built for high performance, security, and scale.

## Safety for Whom? Refusing the Right Subset of a Topic, Not the Whole Topic

DevFeed: [Safety for Whom? Refusing the Right Subset of a Topic, Not the Whole Topic](<https://devfeed.tech/articles/safety-for-whom-refusing-the-right-subset-of-a-topic-not-the-whole-topic-7025.md>)

Original publisher: [Read original article](<https://huggingface.co/blog/MultiverseComputingCAI/safety-for-whom>)

Author: Antonio Tiene; Alejo Lopez Avila; Iker García-Ferrero

Published: 2026-09-08T14:23:07Z

Content type: article

Language: en

Sources: [Hugging Face - Blog](<https://devfeed.tech/sources/hugging-face-blog.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [blog](<https://devfeed.tech/tags/blog.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [experiments](<https://devfeed.tech/tags/experiments.md>), [hugging-face](<https://devfeed.tech/tags/hugging-face.md>), [llm](<https://devfeed.tech/tags/llm.md>), [model](<https://devfeed.tech/tags/model.md>), [policy](<https://devfeed.tech/tags/policy.md>), [safety](<https://devfeed.tech/tags/safety.md>), [training](<https://devfeed.tech/tags/training.md>)

### AI overview

The article examines LLM safety policies that refuse harmful requests within a topic while continuing to answer benign requests in that same topic.

### Source excerpt

A Blog post by Multiverse Computing on Hugging Face

## Mistral raises EUR 3B to make sovereign, open-weight AI the technology frontier

DevFeed: [Mistral raises EUR 3B to make sovereign, open-weight AI the technology frontier](<https://devfeed.tech/articles/mistral-raises-3b-to-make-sovereign-open-weight-ai-the-technology-frontier-7061.md>)

Original publisher: [Read original article](<https://mistral.ai/news/mistral-makes-sovereign-open-weight-ai-to-frontier/>)

Published: 2026-09-08T12:00:22Z

Content type: news

Language: en

Sources: [Mistral AI Blog](<https://devfeed.tech/sources/mistral-ai-blog.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [data-governance](<https://devfeed.tech/topics/data-governance.md>), [samsung](<https://devfeed.tech/topics/samsung.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [data-governance](<https://devfeed.tech/tags/data-governance.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [open](<https://devfeed.tech/tags/open.md>), [samsung](<https://devfeed.tech/tags/samsung.md>)

### AI overview

Mistral announced a EUR 3 billion Series D round to expand frontier AI research, compute capacity, infrastructure, and international commercial growth. The article presents its open-weight, full-stack approach as a way for organizations to retain control over data, models, compute, and production systems.

### Source excerpt

Mistral today announced that it has raised EUR 3 billion in a Series D funding round at a post-money valuation of more than EUR 21 billion.

## Funding grants for new research into AI and teen development

DevFeed: [Funding grants for new research into AI and teen development](<https://devfeed.tech/articles/funding-grants-for-new-research-into-ai-and-teen-development-6677.md>)

Original publisher: [Read original article](<https://openai.com/index/teen-development-research-grants>)

Published: 2026-09-08T09:00:00Z

Content type: article

Language: en

Sources: [OpenAI News](<https://devfeed.tech/sources/openai-news.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [Responsibility & Safety](<https://devfeed.tech/topics/responsibility-safety.md>), [Human-Computer Interaction and Visualization](<https://devfeed.tech/topics/human-computer-interaction-and-visualization.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [openai](<https://devfeed.tech/tags/openai.md>), [research](<https://devfeed.tech/tags/research.md>), [safety](<https://devfeed.tech/tags/safety.md>)

### AI overview

OpenAI is committing $5 million for independent research into how generative AI affects teenagers' development, well-being, and safety. The program invites interdisciplinary studies of AI use, developmental outcomes, and safeguards.

### Source excerpt

Apply now for OpenAI's $5 million grant program supporting independent research on how generative AI affects teen development, well-being, and safety.

## OpenAI expands initiatives to support journalism from classrooms to newsrooms

DevFeed: [OpenAI expands initiatives to support journalism from classrooms to newsrooms](<https://devfeed.tech/articles/openai-expands-initiatives-to-support-journalism-from-classrooms-to-newsrooms-6673.md>)

Original publisher: [Read original article](<https://openai.com/index/supporting-journalism-from-classrooms-to-newsrooms>)

Published: 2026-09-08T00:00:00Z

Content type: news

Language: en

Sources: [OpenAI News](<https://devfeed.tech/sources/openai-news.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [chatgpt](<https://devfeed.tech/tags/chatgpt.md>), [company](<https://devfeed.tech/tags/company.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [media](<https://devfeed.tech/tags/media.md>), [news](<https://devfeed.tech/tags/news.md>), [openai](<https://devfeed.tech/tags/openai.md>), [partnerships](<https://devfeed.tech/tags/partnerships.md>), [support](<https://devfeed.tech/tags/support.md>), [tools](<https://devfeed.tech/tags/tools.md>), [training](<https://devfeed.tech/tags/training.md>)

### AI overview

OpenAI is expanding journalism support through training, partnerships, and ChatGPT Edu access for students and faculty at CUNY's Newmark J-School and Northwestern's Medill School.

### Source excerpt

OpenAI is expanding support for journalism with tools, training, and partnerships for students, educators, journalists, and news organizations.

## Bring your own model to GitLab Duo Self-Hosted with Microsoft Foundry

DevFeed: [Bring your own model to GitLab Duo Self-Hosted with Microsoft Foundry](<https://devfeed.tech/articles/bring-your-own-model-to-gitlab-duo-self-hosted-with-microsoft-foundry-91.md>)

Original publisher: [Read original article](<https://about.gitlab.com/blog/gitlab-duo-self-hosted-models-on-microsoft-foundry/>)

Author: Evgeny Rudinsky

Published: 2026-09-08T00:00:00Z

Content type: tutorial

Language: en

Sources: [GitLab](<https://devfeed.tech/sources/gitlab.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [infrastructure](<https://devfeed.tech/tags/infrastructure.md>), [models](<https://devfeed.tech/tags/models.md>), [openai](<https://devfeed.tech/tags/openai.md>), [platform](<https://devfeed.tech/tags/platform.md>), [tutorial](<https://devfeed.tech/tags/tutorial.md>)

### AI overview

A tutorial on connecting GitLab Duo Self-Hosted to GPT, Claude, Llama, and Mistral deployments in Microsoft Foundry. It explains model-per-feature selection and emphasizes control over hosting, region, network path, and credentials.

### Source excerpt

For many organizations, the question about AI coding tools isn't whether they help, but where the code goes. Teams under data sovereignty, residency, or regulatory constraints need to know which network handles their source code before they can adopt anything. GitLab Duo Self-Hosted answers that by letting administrators connect GitLab Duo features to models running on infrastructure they choose, with control over hosting, region, network path, and credentials. In this tutorial, we'll connect GitLab Duo Self-Hosted to models hosted in Microsoft Foundry. Foundry is worth treating as a general-purpose serving platform rather than an OpenAI endpoint: Its catalog spans OpenAI GPT, Anthropic Claude, Meta Llama, and Mistral, and the families GitLab supports overlap heavily with what Foundry offers. That matters because GitLab lets you assign a model per feature. You can run one family for agentic work, a code-specialized model for Code Suggestions, and a smaller model where request volume dominates, all deployed and billed through one Azure subscription. The setup steps are the same regardless of family. Only the model you deploy, the deployment name you reference, and the Model family you select in GitLab change. Microsoft's catalog moves quickly and will contain releases newer than GitLab's supported-model matrix. Catalog availability alone does not establish GitLab Duo support, so always check both vendors' documentation before choosing a model. Why GitLab Duo Self-Hosted? GitLab Duo Self-Hosted lets you connect GitLab Duo to models deployed on-premises or through a supported cloud provider. Microsoft Foundry is useful when your organization already operates in Azure and wants to manage model deployments, access, networking, and consumption there. Key benefits include: Deployment choice: Select the Azure region and deployment type that meet your availability and data-residency requirements. Multiple model families, one platform: Deploy GPT, Claude, Llama, or Mistral mo

## Flirty OnlyFans promoters on X may be using AI to appear human

DevFeed: [Flirty OnlyFans promoters on X may be using AI to appear human](<https://devfeed.tech/articles/flirty-onlyfans-promoters-on-x-may-be-using-ai-to-appear-human-8430.md>)

Original publisher: [Read original article](<https://www.malwarebytes.com/blog/ai/2026/09/flirty-onlyfans-promoters-on-x-may-be-using-ai-to-appear-human>)

Author: Pieter Arntz

Published: 2026-09-07T11:18:00Z

Content type: article

Language: en

Sources: [Malwarebytes](<https://devfeed.tech/sources/malwarebytes.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [Script](<https://devfeed.tech/topics/script.md>), [Chat Bot](<https://devfeed.tech/topics/chatbot.md>), [Bot](<https://devfeed.tech/topics/bot.md>), [ASCII](<https://devfeed.tech/topics/ascii.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ascii](<https://devfeed.tech/tags/ascii.md>), [bots](<https://devfeed.tech/tags/bots.md>), [fraud](<https://devfeed.tech/tags/fraud.md>), [generative-ai](<https://devfeed.tech/tags/generative-ai.md>), [messaging](<https://devfeed.tech/tags/messaging.md>), [onlyfans](<https://devfeed.tech/tags/onlyfans.md>), [scam](<https://devfeed.tech/tags/scam.md>), [scams](<https://devfeed.tech/tags/scams.md>), [scripted](<https://devfeed.tech/tags/scripted.md>), [threat-intel](<https://devfeed.tech/tags/threat-intel.md>), [voice](<https://devfeed.tech/tags/voice.md>)

### AI overview

An investigation examines X accounts promoting OnlyFans pages that combine repetitive flirtatious scripts with dynamic replies, raising the possibility of generative AI-assisted messaging. It warns that personalized responses and voice notes may no longer reliably distinguish people from automated accounts.

### Source excerpt

Personalized replies and voice notes make it increasingly difficult to tell whether you're talking to a human, chatbot, or AI agent.

## GPT-6 Astra Draws a Python Reading a Book

DevFeed: [GPT-6 Astra Draws a Python Reading a Book](<https://devfeed.tech/articles/gpt-6-astra-draws-a-python-reading-a-book-4363.md>)

Original publisher: [Read original article](<https://realpython.com/ai-benchmark-gpt-6-astra/>)

Author: Martin Breuss

Published: 2026-09-04T14:00:00Z

Content type: article

Language: en

Sources: [Real Python](<https://devfeed.tech/sources/real-python.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [code](<https://devfeed.tech/tags/code.md>), [command-line](<https://devfeed.tech/tags/command-line.md>), [cost](<https://devfeed.tech/tags/cost.md>), [errors](<https://devfeed.tech/tags/errors.md>), [gpt](<https://devfeed.tech/tags/gpt.md>), [python](<https://devfeed.tech/tags/python.md>), [python-3-10](<https://devfeed.tech/tags/python-3-10.md>), [reasoning](<https://devfeed.tech/tags/reasoning.md>)

### AI overview

Real Python evaluates GPT-6 Astra with five fixed, one-shot prompts, including a Python turtle drawing, a command-line tool, a small code edit, and a nonexistent function check.

### Source excerpt

GPT-6 Astra takes Real Python's vibe check for AI models: a turtle drawing of a python reading a book, a Python vintage, a tiny edit, and a made-up function.

## Comparing token economics across 42 AI models

DevFeed: [Comparing token economics across 42 AI models](<https://devfeed.tech/articles/comparing-token-economics-across-42-ai-models-5147.md>)

Original publisher: [Read original article](<https://neon.com/blog/comparing-token-economics-across-42-ai-models>)

Author: Carlota Soto

Published: 2026-09-04T12:00:00Z

Content type: comparison

Language: en

Sources: [Blog -- Neon Docs](<https://devfeed.tech/sources/blog-neon-docs.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>)

Tags: [ai-gateway](<https://devfeed.tech/tags/ai-gateway.md>), [ai-models](<https://devfeed.tech/tags/ai-models.md>), [benchmark](<https://devfeed.tech/tags/benchmark.md>), [community](<https://devfeed.tech/tags/community.md>), [cost](<https://devfeed.tech/tags/cost.md>), [llms](<https://devfeed.tech/tags/llms.md>)

### AI overview

A comparison of 42 AI models on a synthetic workload of 100 support tickets, evaluating cost, usable responses, and completion time. It highlights differences in token use, accuracy, speed, and total workload cost.

### Source excerpt

If headcount is often a company's largest cost, tokens will be a close second soon as agents take on more work. Imagine how much $$ a software company will be able to save just by pre-selecting models that are efficient to run, especially in large companies with many engineers using coding agents.

## How to build an AI-powered app on Webflow Cloud with OpenAI and Supabase

DevFeed: [How to build an AI-powered app on Webflow Cloud with OpenAI and Supabase](<https://devfeed.tech/articles/how-to-build-an-ai-powered-app-on-webflow-cloud-with-openai-and-supabase-9168.md>)

Original publisher: [Read original article](<https://webflowmarketingmain.com/blog/ai-app-webflow-cloud-openai-supabase>)

Author: Ismail Ajagbe

Published: 2026-09-04T00:00:00Z

Content type: tutorial

Language: en

Sources: [Webflow Blog](<https://devfeed.tech/sources/webflow-blog.md>)

Topics: [AI Chat](<https://devfeed.tech/topics/ai-chat.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Next.js](<https://devfeed.tech/topics/next-js.md>), [Workers](<https://devfeed.tech/topics/workers.md>), [API](<https://devfeed.tech/topics/api.md>), [Node.js](<https://devfeed.tech/topics/node-js.md>), [Command-line interface](<https://devfeed.tech/topics/cli.md>), [Deployment](<https://devfeed.tech/topics/deployment.md>)

Tags: [ai](<https://devfeed.tech/tags/ai.md>), [api](<https://devfeed.tech/tags/api.md>), [article](<https://devfeed.tech/tags/article.md>), [cli](<https://devfeed.tech/tags/cli.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [cloudflare-workers](<https://devfeed.tech/tags/cloudflare-workers.md>), [deployment](<https://devfeed.tech/tags/deployment.md>), [guides](<https://devfeed.tech/tags/guides.md>), [how-to](<https://devfeed.tech/tags/how-to.md>), [next-js](<https://devfeed.tech/tags/next-js.md>), [node-js](<https://devfeed.tech/tags/node-js.md>), [openai](<https://devfeed.tech/tags/openai.md>), [serverless](<https://devfeed.tech/tags/serverless.md>), [storage](<https://devfeed.tech/tags/storage.md>), [tokens](<https://devfeed.tech/tags/tokens.md>), [webflow](<https://devfeed.tech/tags/webflow.md>)

### AI overview

Learn how to build a streaming AI chat app on Webflow Cloud with OpenAI and Supabase, including Next.js route handlers, Cloudflare Workers setup, browser token streaming, and optional conversation history storage.

### Source excerpt

Learn how to build a streaming AI chat app on Webflow Cloud with OpenAI and Supabase.

[Next page](<https://devfeed.tech/topics/ai-chat.md?cursor=WyIyMDI2LTA5LTA0VDAwOjAwOjAwKzAwOjAwIiwgImNjN2NkYzM2LWJjYWMtNGY5OS1hYmNjLThkMTZjYTcxNjJiOSJd>)