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Ben Holmes is the DevEx Engineering Lead at Warp. The company has spent the year shifting from the terminal that made its name to Warp Factories – open infrastructure for teams building software factories.
Originally published on integrationstars.com. The short version: check shared state (a calendar, a stock count, a CRM record), then act on it, with nothing stopping a second execution from checking in between. An AI step stretches that window from milliseconds to seconds.
AI agents are moving beyond generating code. They can now execute commands, modify files, browse the web, and coordinate with other agents. But here's the question: How much autonomy should we give an AI agent before the security risks outweigh the productivity gains?
There's a specific moment that stuck with us. We were watching a demo of an agent doing real work inside a SaaS product — clicking through dashboards, filling forms, looking genuinely useful. And then the question hit: would you trust that agent to do this at 3 AM, unsupervised, when it matters?
A build is still running. An agent is waiting for a review. Your laptop needs to close. These are different events, but a fixed sandbox expiry can turn all three into the same problem: the working environment disappears before the task is finished. We're the team behind Lizard (lizard.build).
When developers start building LLM-backed applications, there is a common temptation: select the newest, largest frontier model, drop the API key into an environment variable, and ship it. During local testing, large models feel great.
For weeks I planned around a number I had read somewhere. The number was the cost of generating one image, in whatever internal units the provider billed in. I believed it was around 1363 units per image. On my free tier, that worked out to roughly five to seven images a day.
🧛 JLScript — Do Básico ao Avançado Aprenda JLScript do primeiro mostrar() até APIs, banco de dados, dispositivos e interfaces. JLScript, também chamado de JLS, é uma linguagem de programação criada com o objetivo de possuir uma sintaxe simples, legível e agradável para quem está começando, sem…
In 1978, researchers asked 60 people at Harvard Medical School a single question. A disease affects 1 in 1,000 people. The test for it has a 5% false positive rate. A patient tests positive. What's the chance they actually have it? The most common answer was 95%. The right answer is about 2%.
Let’s talk about a silent cultural crisis happening inside modern engineering teams—one that is costing your company thousands of dollars a month in hidden labor and system instability.
Hey everyone! I'm Jelaxsi , an undergrad at South Eastern University of Sri Lanka (SEUSL) 🇱🇰. I'm finally joining DEV, mostly because I'm tired of building things and never writing about them. What I'm into I like building stuff that solves real problems, especially around AI and IoT.
Introduction Artificial Intelligence (AI) is changing the way students learn and teachers teach. From personalized learning to AI-powered educational tools, technology is becoming an important part of modern education.
Two documents appeared on 8 September. An arXiv paper measures what happens when a coding agent reads a poisoned repository under four permission models.
Por que se você está no loop, você é o gargalo. Nas últimas semanas, enquanto pesquisava padrões para estruturar o desenvolvimento com IA além do hype de autocompletes na IDE, assisti aos vídeos-ensaios de Dan Disler (IndyDevDan)¹ sobre fábricas de software autônomas.
Forest monitoring is becoming a data-integration problem. A typical monitoring program might use satellite imagery, LiDAR data, IoT sensors, field observations, weather reports, and various machine learning models.
Control leaves the process NVIDIA presented the Open Agent Safety Platform on September 28, and the design decision is the news. The runtime is called OpenShell, it is open source, and it already supports Codex, Claude Code, Pi and Hermes.
Your agent triaged the alerts, wrote the patch, opened the pull request, updated the docs, and merged. The bug is in production. The migration ran against the wrong table. The customer got the email with the wrong number. All of it is irreversible. And a human owns every bit of it.
Hermes + Claude Code + Telegram on a cheap always-on thin client. Hi, I'm Amir 👋 I'm a DevOps engineer, and a surprising amount of my time goes into work that is important but repetitive. A server needs patching. A CI/CD pipeline fails. A script needs a small change.
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