Agents
We track 339 posts about Agents from 93 engineering blogs. Most active: Cloudflare, Stack Overflow, Twilio. Latest post: Oct 9, 2026.
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Recent posts
Agents can now buy domains with the Vercel CLI (opens on the source site)
Vercel ·
Your agent can now use the Vercel CLI to buy a domain. The agent discovers candidates with vercel domains search, checks availability and registrar pricing with vercel domains check and vercel domains price, and initiates the purchase with vercel domains buy. The purchase decision itself stays with you by design. Run non-interactively, vercel domains buy returns a structured, machine-readable error and the suggested next commands, so the agent hands the confirmation back to you, prohibiting it from spending money without your approval. You can confirm the price, the auto-renew choice, and the…
Could AI agents be the end of us? The more immediate risk is quieter (opens on the source site)
Conversations about AI agents tend to fall into one of two camps. In one, they’re a step toward catastrophe. In the other, they’re just another tool, no riskier than the software … The post Could AI agents be the end of us? The more immediate risk is quieter appeared first on Hostinger Blog.
The Real Python Podcast – Episode #314: Codemoo: Demonstrating How Coding Agents Work (opens on the source site)
How do you assemble the core pieces of a coding agent? How are developers defining projects through conversation and introspection? This week on the show, Geir Arne Hjelle returns to talk about his recent project to demonstrate how coding agents work under the hood. [ Improve Your Python With 🐍 Python Tricks 💌 – Get a short & sweet Python Trick delivered to your inbox every couple of days. >> Click here to learn more and see examples ]
Designing Apps for AI Agent Phones: 6 Checks Developers Should Make Before Granting Access (opens on the source site)
null Continue reading Designing Apps for AI Agent Phones: 6 Checks Developers Should Make Before Granting Access on SitePoint.
The Agentic Code Review Loop (opens on the source site)
An agentic code review loop where every developer fires their own AI review skill at a pull request, the author's agent answers, and a scorecard rates each.
Taking a look under your agent’s hood (opens on the source site)
Ryan is joined by Yanbing Li, Chief Product Officer at Datadog, to talk about applying observability to non-deterministic AI agents, blurring the boundaries between software development and production workflows, and navigating emerging challenges in AI security and tokenomics.
How Rillet ships 3× faster with AI agents on Vercel (opens on the source site)
Vercel ·
Rillet on Vercel Tripled shipping rate in three months with eve agents deployed on Vercel Two-person team closed 800+ Linear tickets in its first 4 months Builder access via Enterprise Managed Users, SSO, and Directory Sync Ships customer-requested changes to production in as little as two hours Gives every builder access to models through AI Gateway Rillet is an AI-native enterprise resource planning (ERP) platform. Their AI agents do accounting work inside a real-time general ledger, with human approval and a full audit trail. Rillet serves more than 600 customers working toward a zero-day…
Leadership in the age of AI agents (opens on the source site)
Delegation will also vary across the strategy-to-execution chain. Identifying signals, forming hypotheses, prioritizing investments and executing initiatives involve different levels of ambiguity and consequence, so they should not inherit the same human-agent decision rights. Recent research from MIT's CISR offers a genuinely useful lens here: decisions should be split between human and AI based on two dimensions, i.e., ambiguity and risk, and the split isn't binary but plays out across three activities: framing a decision, acting on it and learning from the outcome. Framing: Deciding what's…
Cloudflare Web Search API for AI Agents: Build a Grounded Worker (opens on the source site)
Build a Cloudflare Worker that grounds AI agents with live web results using the Web Search API (beta), and evaluate the trade-offs between AI Gateway, direct providers, and aggregators. Continue reading Cloudflare Web Search API for AI Agents: Build a Grounded Worker on SitePoint.
Into the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI Agents (opens on the source site)
Nvidia ·
Turning a simulation idea into a working application means assembling assets, connecting physics and rendering, and checking that the scene behaves as intended. Developers are combining frontier AI models with NVIDIA Omniverse libraries to help carry out that work — building applications for exploring scenarios, investigating failures and improving designs. Developers direct AI agents through […]
Production-grade LLMs and agents: a field guide (opens on the source site)
A maturity model for taking agents from an impressive demo to a system people can depend on — with a self-assessment and the map to a deep-dive on each layer.
Migration toolkit for applications 8.3: Agentic code modernization, PVC mobility, and out-of-the-box generators (opens on the source site)
Red Hat ·
Red Hat's migration toolkit for applications 8.3 is now generally available, bringing agentic code modernization, direct storage mobility, and automated pipeline generation to OpenShift. Upgrading workloads to cloud-native architectures often means struggling with legacy code and complex stateful data transfers. Migration toolkit for applications 8.3 simplifies this process with automated multi-agent code transformation, live storage migrations, and pre-built deployment pipelines. The post Migration toolkit for applications 8.3: Agentic code modernization, PVC mobility, and out-of-the-box…
★ Laravel AI SDK in practice: the agent behind There There (opens on the source site)
Over the past few weeks I've posted a couple of times about There There, the helpdesk we're building at Spatie. After two decades of running our own customer support, we decided to stop compromising on tools and build the one we actually want to use. A lot of the fun is on the AI side. We're not using it to replace support agents, we're using it to make them faster. The human reads the ticket, thinks, and clicks a button. The model pulls up relevant history, drafts a reply, tags the ticket, closes a duplicate. There There is in private beta right now, and you can apply for early access at…
Can Agentic AI Find the Security Vulnerabilities Other Tests Miss? (opens on the source site)
Security teams are good at finding problems. The difficult part is finding the right problems across a growing codebase, a changing application and the connections between them. A scanner can flag a known pattern quickly. A skilled tester can follow a complicated line of enquiry. Neither has unlimited time, and there will always be a question nobody thought to ask. Could AI agents take on more of that investigative work? I think the answer is yes, provided we are precise about what “find” means. Agents can produce leads, test assumptions and uncover issues that established checks have missed.…
Building a Multi-Channel AI Agent with Twilio Conversations and eve (opens on the source site)
Twilio ·
Learn how to build a multi-channel AI agent with Vercel's eve and Twilio Conversations. Unify SMS and WhatsApp into one thread, give your agent long-term customer memory with Twilio Memory Store, and swap the LLM with one line of TypeScript.
Real-world lessons in agentic authority and overreach (opens on the source site)
The way forward: Funding the infrastructure that makes autonomy scalable The controls around an AI agent aren’t a brake on adoption; they’re the infrastructure that lets an enterprise pursue the benefits of agentic AI with confidence, resilience and commercial defensibility. The Agentic Scope of Authority Framework turns that idea into decisions leaders can fund, assign and audit. The basic premise is simple: authority must be clear inside the enterprise and credible to everyone outside it. Actual authority is what people authorize and the architecture enforces: the task, limits, tools, data,…
Part 3: Knowing when your agent doesn’t know: the confidence layer (opens on the source site)
The most important number an agent produces isn’t its answer — it’s how sure it is. Compose that number from independent signals, check it’s calibrated, grade the high-stakes calls with a second model, and route the rest to humans well. This is Level 3 of a six-level maturity model for running LLM systems in production. Levels 1 and 2 got you to where the system works and you can see it working. Level 3 is confidence: the system acts on its own only when its calibrated confidence is high, grades the decisions that matter with an independent judge, and routes everything it’s unsure about to a…
Part 1: Make your AI agents boring: the determinism layer (opens on the source site)
The trick to putting LLM agents in high-stakes systems isn’t a smarter model — it’s containing the model to one node so the rest of the system is ordinary, testable code. Here are the structural moves, with the contracts and types to implement them. Demos love autonomous agents that loop, call tools, and “figure it out.” Production hates them. The moment an agent’s behavior depends on which path the model wandered down today, you can’t test it, can’t audit it, and can’t let it touch anything that matters. In a regulated or high-consequence system — money movement, healthcare, infrastructure —…
Part 6: An operating system for coding agents: the disciplined build (opens on the source site)
Coding agents are great for an afternoon and mediocre for a quarter. Here’s the small set of files and rules — with the actual configs — that keeps quality from decaying across months and thousands of edits, whether you run one agent or a fleet of them on the same repo.
Implementing a Modular Master-Agent Telemetry & Diagnostic Framework in Python: Prime-Sentinel Command (PSC) (opens on the source site)
Tags: python architecture oop design-patterns distributed-systems When engineering distributed monitoring agents or designing low-latency health-checking pipelines, separating centralized governance from autonomous edge execution is essential. I designed the Prime-Sentinel Command (PSC) architecture as an object-oriented master-agent pattern to coordinate edge diagnostic nodes (Sentinels) via a centralized orchestrator (Prime). Below is an architectural walkthrough and minimal reference implementation for engineers looking to build similar decoupled telemetry collectors. Many diagnostic…
NVIDIA, Microsoft Kick Off a New Beginning for Windows PCs With RTX Spark and AI Agents (opens on the source site)
Nvidia ·
At a Microsoft event in San Francisco on Wednesday, Jensen Huang and Satya Nadella outlined how NVIDIA and Microsoft are co-engineering hardware and software for AI agents to run on Windows PCs. NVIDIA was founded because of Windows, Huang said. Now AI agents are coming to Windows. “If you look at the entire journey of […]
Building an evidence-grounded agentic security operations harness on Cloudflare (opens on the source site)
Cloudflare Managed Defense uses a team of specialized AI agents built on Workers and global network telemetry to analyze security alerts. By separating deterministic evidence collection from model inference, the system delivers grounded recommendations to Managed Defense Analysts.
Laravel AI SDK 1.1 Adds Agent Skills and Cohere Chat (opens on the source site)
Laravel ·
Laravel AI SDK 1.1 adds Agent Skills support, Cohere text generation, approval for built-in tools, and failover that skips provider tools a provider lacks. The post Laravel AI SDK 1.1 Adds Agent Skills and Cohere Chat appeared first on Laravel News. Join the Laravel Newsletter to get Laravel articles like this directly in your inbox.
Building Git infrastructure for agent-scale development (opens on the source site)
Writes are accelerating, and this growth can add stress to systems all repos depend on. Here's our approach to building architecture that can scale. The post Building Git infrastructure for agent-scale development appeared first on The GitHub Blog.
Metrics Board: Building an Agent-ready Metrics Layer (opens on the source site)
Michele Ceccacci; Software Engineer I | Jason Coffman; Sr. Software Engineer | Colm O’Shaughnessy; Software Engineer II | Laura Palmer; Staff Product Manager | Adam Podraza; Manager, Engineering | Surya Karri; Manager, EngineeringAt Pinterest, reliable and trustworthy metrics are behind every decision: from measuring company-wide business performance to evaluating each feature experiment results. Hundreds of data producers — analysts, data scientists, and engineers across Pinterest — create thousands of metrics from our petabyte scale data lake. A metrics ecosystem this size can’t be ad hoc;…
VMPal: Give Your AI Agent a Whole Computer (opens on the source site)
Laravel ·
VMPal gives your AI agent its own macOS, Windows, or Linux VM on Apple silicon, so Claude Code or Codex can work without you approving every prompt. The post VMPal: Give Your AI Agent a Whole Computer appeared first on Laravel News. Join the Laravel Newsletter to get Laravel articles like this directly in your inbox.
Rossoctl for agent discoverability, security, and observability on Kubernetes (opens on the source site)
Red Hat ·
Imagine deploying a pair of agents to Red Hat OpenShift and watching them thrive. But fast-forward 6 months and you find your environment cluttered with 40 of them, their purposes largely unknown. Redundant agents emerge across namespaces, duplicating work. Meanwhile, a security review uncovers agents utilizing static API keys over insecure HTTP. When an agent falters, the lack of tracing makes it impossible to distinguish between model hallucinations, tool errors, or downstream failures. The post Rossoctl for agent discoverability, security, and observability on Kubernetes appeared first on…
Synapse: A Dev Dashboard for Laravel AI SDK Agents (opens on the source site)
Laravel ·
Synapse from Redberry lists your Laravel AI SDK agents, lets you chat with them in the browser, and shows their tool calls and token usage. The post Synapse: A Dev Dashboard for Laravel AI SDK Agents appeared first on Laravel News. Join the Laravel Newsletter to get Laravel articles like this directly in your inbox.
How to design an AI agent for resolution instead of rapport (opens on the source site)
Twilio ·
Conversational design almost always prioritizes persona and tone. Those matter but not as much as solving your customers' problems first.
Add NeMo Guardrails to a LangGraph agent on OpenShift AI (opens on the source site)
Red Hat ·
Your LangGraph agent can call tools, follow a system prompt, and answer domain questions. That's not the same as being safe to put in front of users. Without guardrails, a banking customer service agent might explain how to commit check fraud, reply to profanity, or happily help you bake a chocolate cake. The post Add NeMo Guardrails to a LangGraph agent on OpenShift AI appeared first on Red Hat Developer.
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