Language models, agents, RAG, prompts, evals and AI products. 4,278 posts on file, most from AWS, Lyzr, JetBrains.
The Expedition lab recordings are on demand. Build along in a free trial account, pass the auto-grader, and earn a badge to share on social media. Missed Snowflake Expedition, or started a lab and didn’t finish?
Build an AI agent that recognizes returning customers, recalls past conversations, and saves new facts, with Twilio Conversation Memory.
Modal powers inference for the open-weight models that Snorkel is evaluating as well as GPU and CPU sandboxes for millions of simulations per month.
In our practical guide to profiling in Go, we mentioned that some of the Go developers we talked to avoid pprof if they can.
You can now stream generative UI from your Chat SDK agent with json-render. With a typed catalog of components, the agent writes a JSON spec that converts into a Chat SDK card.
TL;DR This year, Snowflake published a behavior change worth reading. According to Snowflake’s release notes for its 2026_02 behavior change bundle, Cortex functions such as...
Your AI agent is only as valuable as the data and context it can reach. …
AI agents are becoming part of everyday engineering workflows, helping teams write code, troubleshoot issues, and automate tasks. But to be truly useful in production, these agents need access to more than code.
When deploying diffusion models in design tools, image editors, and visual production workflows, developers must account for inference latency. Generating an...
Run Claude Code as a remote agent on Amazon Bedrock AgentCore. Each coding task runs in its own isolated session in your AWS account, every model call goes through Amazon Bedrock, and the result comes back as a GitHub pull request you...
OpenAI introduces BioBasicsBench, a 100-task benchmark measuring how well AI agents interpret raw experimental data and handle everyday wet-lab science.
Most enterprises envision their human-agent teams will be made up of two layers. On top, there is a small group of people planning, orchestrating, and managing. Underneath, there is a growing workforce of agents executing the work.
How I separate AI referrals, crawlers and agents, then use Fullstory and MCP to see what agents do on our site.
What LaunchDarkly showed live on the Control Panel: how to safely automate releases at agent speed, from flagging to cleanup.
For most of the last decade, marketplaces measured third-party content by volume: listings, photos, and the time it took sellers to go live. That approach made sense when the biggest risk was a thin catalog.
Private Preview: dltHub works with Databricks Unity Catalog Pages and Genie Ontology so humans and agents get trusted answers on new data from day one.
Async subagents let an agent stay responsive while background workers run long tasks. How the orchestrator, notifications and approvals work in Deep Agents.
With JetBrains Air, agent-assisted embedded debugging and CMake project setup, plus support for NVIDIA CUDA Tile C++ and ISPC. CLion 2026.3 is now available.
Learn how to audit what your AI agent stored about a customer, trace each memory to its source, and show agents why a suggestion was made.
Gemini Omni 1.2 Flash from Google is now available on AI Gateway. Generate videos from text prompts with one API key and no separate Google account.
TL;DR In a test of 1,000 banking queries published on InfoQ in November 2025, a customer asking where to find an ATM was served instructions...
Token bills are climbing as banks put AI agents to work. How financial services firms can match models to tasks, route calls and keep spending in check.
Picture a coding agent working through a routine task. Along the way it opens a file it had no particular reason to touch, unearthed an API token that allowed it more access than it should have, and decides to use it in an effort to...
Your agent has been refactoring for two hours. It’s deep in the codebase, making real progress, and then it stops: “Can I run this migration?” Nothing happens until you answer. And you’re not at your desk.
I've tried a lot of agentic development environments and none of them really nailed what I was looking for, so I built my own.
Learn how TUI, the world's leading tourism group, built an AI-powered threat modeling system on Amazon Bedrock and Amazon Bedrock AgentCore to scale security assessments across more than 100 product teams, cutting threat modeling time by...
AI agents can generate code at a scale that’s hard for humans to review line-by-line. PDD Kit helps ensure the code is doing what the developer intended by creating formal specifications and testing against them.
Our architecture lets agents test mobile app behavior without an emulator and use one test suite to keep iOS and Android in sync.
Build and deploy enterprise agents, workflows and apps faster with Mistral Studio and Le Chonk full control over your models, data and infrastructure.
In an AI factory, high bandwidth memory (HBM)is the fastest, most expensive, and most contested memory tier. Every byte spent on a redundant weight copy, an...
Web Answer on Amazon Bedrock AgentCore returns a synthesized, source-cited answer to a natural-language question in a single tool call, with no search, retrieve, synthesize, and citation pipeline to build.
Introducing GPT‑6 Cyber, OpenAI’s cybersecurity model for finding exploitable vulnerabilities and developing fixes, trained to stay within authorized scope.
AI agents act for millions, but servers see intermediaries that strip user visibility. This post defines the problem space and introduces a collaborative approach to safely identifying, allowing, and managing this automated traffic.
You can now use natural language to create an investor slide deck highlighting where your business outperformed in the previous quarter, or build a custom dashboard to understand why your Stripe revenue changed.
Snowflake Semantic Views provide a governed, reusable layer that defines how tables relate, what metrics mean, and who can access what.
Explore six Generative AI Lab deployment options, from AWS and Azure to on-premises and air-gapped environments, supporting secure healthcare AI workflows.
Learn which metrics matter when AI and human agents share the queue, from abandonment to handle time, and how to measure each with Twilio.
Introduction Organisations are moving rapidly toward agentic workflows, enabling business users to query data in natural language without requiring deep technical expertise.
GPT 6.1 Terra cost 43% less and spent 42% less working time with the Postman Context Graph across 17 questions on 802 repos. See the full results.
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