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One hundred dollars will buy you 8 pounds of glitter; 10 Domino's pizzas; 406 miniature disco balls from Temu; or 100 cans of Coors Light. For a friend's birthday party one year, Ayla D'Silva spent $100 on sour candy and made a "sour candy salad." Even sweeter was that she didn't have to foot the […]

Nintendo is making a new version of the Switch 2 with a replaceable battery in Europe - but its predecessor has a very different future. As part of an updated FAQ about revisions to Nintendo hardware in Europe, the company confirmed that it will stop selling all iterations of the original Switch on the continent […]

We’ve got another special episode of Decoder today, recorded at the Cannes Lions advertising festival in the South of France. I’m talking with Ali Berman and Raina Penchansky, who run the Creators division at United Talent Agency. UTA is an enormous talent agency. Half the people you’ve ever heard speak or perform or who show […]

Initially, I was going to tell you about a good deal happening on the DJI Osmo Pocket 3, which is down from the $500 it’s sold at most of the year to $378 at multiple retailers. But there’s a better deal happening on a nearly identical portable camera, the Xtra Muse, which is $329 (roughly […]

Station F, a Paris-based startup hub founded by French billionaire Xavier Niel, is gearing up for a new edition of its F/ai accelerator program in a bid to strengthen its positioning as a stepping stone for promising AI startups.

WhatsApp now lets users reserve usernames ahead of the feature’s full rollout, making it possible to connect without sharing a phone number once usernames go live.

The hacking operations disclosed in a Canadian spy agency's annual report underscores some pressing national security threats facing the country and its top allies.

In the AI era, platforms have no choice but to fight fire with fire to cull spam.

Microsoft cut around 4,800 roles, or 2.1% of its global workforce, on Monday — the latest in a series of layoffs that’s stoking fears of AI replacing jobs. The layoffs will hit Xbox and commercial sales the hardest.

AI has made test automation more exciting. It has also made it easier to fool ourselves. A generated test can look impressive in a demo. A self-healing locator can make a failure disappear. An AI assistant can create test cases faster than a human can type. A tool can promise lower maintenance, smarter coverage, and faster releases. Some of that value is real. But AI does not remove the need for testing judgment. It changes where the judgment is needed. The question is no longer j...

Built a Conventional Commits CLI with free AI tools (zero cost) Staring at a staged diff trying to summarize it in one sentence is a tax every developer pays. "fix stuff" and "wip" pile up in the history until a git blame six months later leaves you guessing. That's why I built commit-sage . What it is commit-sage is a Python CLI that reads your staged git diff, sends it to an AI provider, and returns a ready-to-use Conventional Commit message — no manual writing. Fl...

Building an AI agent sounds complicated. It's not. By the end of this guide, you'll have a working agent that can search the web, remember conversations, and handle multi-step tasks. No frameworks, just TypeScript and an LLM API. What We're Building A research assistant agent that: Takes questions from users Uses tools (web search) when needed Remembers conversation history Handles errors without crashing Runs in about 150 lines of TypeScript This won't be produ...

Abstract Cada vez más equipos quieren consultar datos sin escribir SQL a mano. El problema es que un sistema Text-to-SQL no solo debe “traducir preguntas”, sino también entender el esquema, restringir permisos, validar consultas y explicar por qué una consulta es rápida o lenta. Ese enfoque coincide con la ruta propuesta por el tutorial oficial de LangChain para agentes SQL: listar tablas, inspeccionar esquemas, generar la consulta, revisarla, ejecutarla y corregir errores hasta obtener una r...

I'm launching SmartTaxCalc.in on Product Hunt on Tuesday, 14 July 2026 . It's a 38-tool Blazor WebAssembly tax + finance calculator I've written about here before ( the SEO/schema saga , and dropping mobile LCP from 6-8s to under 2s ). The Product Hunt launch algorithm heavily rewards products that arrive with a real coming-soon follower base — day-of upvotes correlate strongly with pre-launch "Notify me" clicks. My PH page started with 1 follower . I had 9 days to get to 50+. The obv...

Originally published on DevToolHub . Helm 4 shipped in November 2025. Eight months later, most teams are still running Helm 3 in production CI/CD because it works. But Helm 3's final feature release lands September 9, 2026, and security patches stop completely on February 10, 2027. This helm 4 migration is simpler than it looks. Your charts don't need rewriting — Helm 3 Chart API v2 charts are fully compatible with Helm 4. But the automation around Helm has four real breaking points tha...

While LLMs are great, there are some limitations in using LLMs: LLMs can hallucinate, presenting factually incorrect information when they don't know the answers, and their knowledge gets frozen at the time of training. That's when Retrieval Augmented Generation (RAG) addresses both of these problems. It is the process of optimizing the output of the LLM. This article walks through what RAG is, why it matters, and how to build a working RAG pipeline using two of the most popular tools in the ...

Revolutionizing Content Automation: Building Multi-Agent Pipelines with LangGraph TL;DR : LangGraph transforms AI content automation by enabling sophisticated multi-agent systems. It orchestrates specialized agents for complex tasks, integrates seamlessly with Celery for asynchronous task management, and uses Redis for efficient state tracking. This framework surpasses traditional workflows by supporting dynamic decision-making and complex agent interactions. Introduction Im...

TL;DR Tech has taught me many things over the years. It taught me how to learn new technologies, build projects, apply for opportunities, and keep growing. What it didn't teach me was something that turned out to be just as important: how to take care of myself while doing all of those things. For a long time, I believed I would slow down later. Later, when life became less busy. Later, after the next project. Later, after the next opportunity. The problem was that "later" never seem...

Building Lethe, a polygraph for AI memory, on Cognee. Every demo I have seen this year is about making AI remember more. Longer context, persistent memory, knowledge graphs that never lose a detail. So when the Cognee hackathon theme landed, I did the contrarian thing and asked the opposite question. When an AI deletes your data, can it prove it forgot? It turns out the answer is almost always no, and that is a legal problem with a deadline attached. The deletion paradox GDPR A...

You've seen the claim in every Ruby thread for the past year. Ruby and Rails are the most AI-friendly stack. Fewer tokens, less hallucination, the model just writes it cleanly. Half of that claim I'll concede without a fight . The other half I measured, across thirteen real Ruby codebases, and that's where a line shows up, sharp enough to put every repo on one side or the other. Including yours. The half that's true: writing Ruby is solved Start with the part that holds up, b...

In this blog post, we will see how to performance test a RAG (Retrieval-Augmented Generation) application properly, covering both speed and correctness, and how to wire both into a CI/CD pipeline so regressions get caught before they reach production. Performance testing a RAG application requires two separate testing gates: one for speed and one for answer quality. Traditional load testing tools measure response times but cannot detect hallucinations, where a model returns fast but factually...

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The article proposes the concept of a Personal AI Representative (PAIR): a persistent AI agent that acts on behalf of an individual rather than simply responding to prompts. It argues that recent advances in agentic AI, memory systems, and digital identity make the idea increasingly feasible, while emphasizing that trust, security, accountability, and bounded delegation are the real engineering challenges that must be solved before such systems become practical.

Building AI agents as conversational chatbots with tools works for a demo, but shatters in production when a process spans multiple sessions. Relying on chat logs to track business milestones causes context rot, high token bills, and cascading failures. For a system to succeed at scale, engineers must treat agents like mini-operating systems: decoupling the model's reasoning from the business state. The workflow progress must be managed by a deterministic database state machine, using the LLM st...

As engineering organizations scale, manual portfolio tracking becomes slow, fragmented, and error-prone. This article presents a three-phase framework for building an AI-powered technical operations engine that standardizes data intake, leverages AI agents and RAG to automate data aggregation and anomaly detection, and enables data-driven executive governance. By replacing reactive reporting with autonomous operational intelligence, organizations can improve forecasting accuracy, reduce operatio...

AI conferences are now key geopolitical "control surfaces" influencing compute disclosure.