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STRAPLINE: At a JLL roundtable, CFOs and finance leaders traded boardroom war stories on AI, Gen Z hiring, and the hard lessons that come with building, scaling, and sometimes shutting down a business. Gayatri Guha Every founder's pitch deck tells a story of growth. What it rarely shows is the
Kubernetes teams automate deployments without thinking about it. CI/CD pipelines fire dozens of times a day, autoscaling adjusts replicas in The post Kubernetes teams trust automation to ship code but not to touch CPU, and AI is raising the stakes appeared first on The New Stack.
Learn about the concept of loops to power your coding agents. The post How to Create Powerful Loops in Claude Code appeared first on Towards Data Science.
Hi everyone, I’m plasma. I’m based in Silicon Valley and work in developer advocacy, mostly around AI APIs and developer tools. I started out as an indie developer, so I’m especially interested in the practical side of building AI products: choosing models, managing costs, building agents and automa
Note: This post contains architecture diagrams. For the fully rendered version visit the original post. AI coding assistants have fundamentally changed how developers write software. The best ones do one thing well: collapse the distance between the developer's intent and the code that expresses it.
I have been experimenting with multi-agent systems and recently started building a DeepResearch-style agent workflow to understand what goes into a real Agentic AI application. The first version is intentionally simple, but the goal is not just another “LLM + tool call” demo. I’m trying to learn the
Globally, robotics startups have so far raised $18.8 billion in 2026, compared to $15 billion in the full year of 2025. The figure also handily surpasses the $14.1 billion raised in the peak venture funding year of 2021, and we still have more than six months of fundraising left. We use Crunchbase d
In this episode of the Agent Factory, I sat down with Rody Davis, one of Google’s top agentic engineers. We dive into the massive shift from traditional IDEs to agent-first platforms, the reality of code reviews in an AI-driven world, and how to use "skills" to perform at a 100X level. This post gui
For technology companies like Siemens, software is the nervous system of factories, energy grids, and transportation networks worldwide. As a global leader in industrial AI, industrial software, and industrial automation, Siemens brings decades of domain expertise across factory and process automati
Email is one of those things that's genuinely hard to test. It goes out through an SMTP server, lands in a real inbox, and you have no programmatic way to check what arrived. So most teams either test it manually or just assert that sendEmail() was called and call it done. Neither tells you if the s
A product video API is one of the most practical video APIs for ecommerce teams because it lets you create videos from structured product data instead of editing every SKU by hand. To create product videos from a CSV or product feed, take each row of product data, map it into a reusable video layout
If you read this, you'll be able to run a small Python pipeline on your own laptop that: (1) generates a draft article from a topic + a keyword list, (2) injects your affiliate links only where they're contextually relevant, and (3) refuses to save anything where the title doesn't match the body. No
AI agents are software systems that can perceive their environment, reason through a problem, and take action to complete a goal, all without you clicking a button for every step. If you’re a developer or freelancer trying to understand what everyone in tech is talking about, you’re in the right pla
For a while I blamed the model. The agent would build something plausible and wrong, and I would assume it needed a smarter brain. Then I went back and read the tickets I had handed it, and the problem was obvious. My acceptance criteria were wishes, not specifications. The agent built exactly what
Every Indian freelancer, agency, and small business eventually faces the same boring problem: generating GST-compliant invoices. The big SaaS tools charge ₹500–₹2000 per month for what is fundamentally a templating + arithmetic job. Let's just write it ourselves. By the end of this post you'll have
TL;DR: 37k demissões em tech nos EUA em 2025, quase metade atribuída à IA. Mas 88% dos projetos de IA falham antes do prod. Alguém precisa falar sobre isso. Se você trabalha com tecnologia, provavelmente já sentiu o clima mudando nos últimos 18 meses. O que está acontecendo de verdade Grandes empres
You've seen it in code reviews. Someone writes: And someone else comments: "Can you sort these classes?" Then a 10-minute discussion starts about what "sorted" even means. This happens on every Tailwind team that doesn't have Prettier enforced. And even on teams that do — legacy code, copy-pasted sn
I built a new tool. It is a Level 2 project harness installer (blurs into Level 3). The page is at tacoda.dev/keystone. The repo is at github.com/tacoda/keystone. keystone init drops a markdown harness into your repo. Five layers: principles, idioms, domain, state, process. Plus an activation file t
A security reviewer finds a critical issue a day or two before the release of an application. While it's an important issue, it sets the team back weeks, frustrating their product management partners and customers. The review came at the most expensive time in the process. There are many examples of
Agent Skill is already one of the most widely accepted practices in AI Agent engineering: encapsulating repeatable tasks into capability packages that are discoverable, callable, and injectable into context. This is certainly valuable. Diagnosing bugs can be a skill. Reviewing code can be a skill. G
