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In our UI system we dont use pixel values to define spacing, we use semantic variables, (t-shirt sizes: gap-sm , p-lg , my-2xl ) - so thats like you change one CSS variable, and the whole UI adapts. We limit user customization to just 5 presets - 0.8 / 0.9 / 1 / 1.1 / 1.2 : Symmetric around 1.0 - two steps down, two up; ±20% is deliberately restrained - enough to change the feel (data-dense ↔ spacious) without breaking layouts or distorting prop...

En el desarrollo de vehículos terrestres no tripulados a escala, la precisión en la cadena de mando es el factor que determina el éxito de una misión técnica. No importa si estamos ante un prototipo de exploración o un sofisticado crawler de radiocontrol: la comunicación entre la emisora y el variador de velocidad electrónico (ESC) debe ser perfecta. Sin embargo, muchos entusiastas del hardware cometen el error de conectar la electrónica y asumir que los valores de fábrica son óptimos. La realid...

Most businesses did not see this shift coming. Customers stopped scrolling through ten blue links. They started typing full questions into ChatGPT, Google AI Overview, and Bing Copilot, and expected one direct answer. If an AI tool does not trust your business enough to mention it, you do not appear in that answer. This piece comes from the team at Notionmind Dev.to And companies across India, USA, and other countries are already rethinking how AI search optimization fits into the way they get...

System Design Interview Questions by Level: Junior, Mid-Level, Senior, and Staff Not every system design interview evaluates the same thing. A junior engineer may be asked to design a URL shortener and explain why a cache would help. A mid-level engineer could receive the same question but be expected to estimate traffic, choose a database, and handle key collisions. A senior engineer may need to discuss multi-region deployment, consistency, failure recovery, and operational trade-offs...

You can spot AI-written text in one sentence. Not because AI is bad at writing — it isn't — but because it reaches for the same 47 words every time. "We leverage cutting-edge solutions to seamlessly empower your team to unlock their full potential." That sentence was written by nobody. It has the shape of meaning without the substance. Readers feel it instantly, even if they can't explain why. Here's the full list — organized by type, with plain-English replacements — so you can clean y...

Let's be honest: when most developers hear "quantum computing," their first reaction is somewhere between mild curiosity and existential panic . It sounds like physics. It sounds like math you forgot in college. It sounds like something only people with PhDs in theoretical physics should touch. But here's the thing — the fundamentals of quantum computing are approachable, and understanding them doesn't require a physics degree. What it does require is a willingness to let go of the cl...

If you're using migrate-mongo and considering a switch, the biggest concern usually isn't features. It's this: "Will I have to re-run old migrations or risk production data?" The short answer is no. I built mongo-migrate-kit with migration adoption as a first class feature because switching migration tools shouldn't feel risky. The Problem Most teams already have months or years of migration history. Re-running old migrations is dangerous. Editing migratio...

Cómo solucionar el error de permisos al ejecutar pip.exe en entorno virtual (Python 3.10 en Windows) Explicación técnica El problema ocurre porque el archivo pip.exe en venv/Scripts/ es un launcher empaquetado que contiene una ruta fija a python.exe y un script __main__.py incrustado. Cuando se crea el entorno virtual, este launcher se construye con la ruta exacta del python.exe que se usó para crearlo. Si esa ruta se vuelve inválida (por ejemplo, porque se desi...

When people first use Spring Batch, they usually start with a simple single-threaded job. That works for small datasets, but once data volume grows, throughput becomes the bottleneck. In this sample project, I implemented a partitioned, multi-threaded Spring Batch pipeline to process sales records in parallel using a master/worker step model. 👉 Code repo: github.com/ykpraveen/spring-batch-sample Spring Batch At its core, Spring Batch is built around a few key abstractio...

System design interviews are changing. Traditional questions such as “Design Twitter,” “Design Uber,” and “Design YouTube” are still important. They test whether you understand databases, caching, partitioning, replication, messaging, and high availability. But engineers working on modern platforms now encounter a different category of problem: Design a ChatGPT-like conversational assistant. Design a retrieval-augmented generation system. Design an LLM inference platform. Design...

Vibe-Memory Part 3: pgvector Performance Optimization - How I Cut Query Time From 800ms to 15ms Honestly, when I first built vibe-memory, I thought "how hard can pgvector be?" It's just vector search, right? Everyone's doing it. I added the extension, created a table with an embedding column, threw an index on it, and called it a day. Three weeks later, with 5,000 memories in my database, I was staring at 800ms+ query times wondering what went wrong. That's slower than generating the AI r...

If my agent can't use your platform, you're irrelevant -- Every customer in 2026 The agent-first approach to building products is based on the assumption that your first and most active users will be agents . Therefore, you shouldn't build your products first for humans and add agent support as an afterthought - on the contrary: Consider agents to be first-class citizens It is important to emphasize early on in this article: Agent-first is not - agent-only . It also doesn't mean...

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Article URL: https://dolphin-emu.org/blog/2026/06/25/dolphin-progress-report-release-2606/ Comments URL: https://news.ycombinator.com/item?id=48671392 Points: 71 # Comments: 8

Article URL: https://9to5mac.com/2026/06/23/lastpass-notifies-users-of-yet-another-data-breach/ Comments URL: https://news.ycombinator.com/item?id=48671468 Points: 33 # Comments: 4

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Run your local Hermes Agent anywhere, then securely expose it to your backend without renting a VPS or configuring Nginx. One of the coolest things about Hermes Agent is that it exposes an OpenAI-compatible API server . That means your backend, frontend, mobile app, or even another AI agent can communicate with Hermes exactly like it would communicate with OpenAI. But there's one problem... Hermes usually runs on your local machine: http://127.0.0.1:8642 That ...

How to share your ~/.ssh/config with devcontainers The purpose is to enable using git with your provider directly from the devcontainer. The problem is when running on mac-OS you typically add UseKeychain yes to your config file. Which is a mac specific setting killing your ssh agent. MacOS - first Your ~/.ssh folder probably looks something like this: ❯ tree . ├── config ├── hetzner_id_ed25519 ├── hetzner_id_ed25519.pub ├── known_hosts ├── known_hosts.old ├── README...

Most apps think they are secure because they have login pages. But authentication is only the first step. Once a user is logged in, your app still needs to answer a bigger question: What should this user be allowed to do? That is where access control comes in. If your authentication is weak, users cannot trust your system. If your authorization is weak, your system cannot trust its users. Authentication versus authorization These two are often confused. Authent...

While building an AI code review product (Orange Codens), there was one design problem that dominated everything else: when the reviewer is AI and the fixer is AI, you can very easily build an infinite loop. Walk it through. Orange reviews a PR and finds a problem. It doesn't stop at the comment — it hands the fix off to another Codens (Purple / Red) to produce a fix PR. But that fix PR is also a PR. Orange reviews it. New code, new findings. Hand off again. Fix. Review again. A human revi...

What 'AI development' actually means in 2026 beyond the demos. Architectures, costs, evaluation, and how to ship value in 90 days. Why AI projects still fail in 2026 The model is rarely the problem. Most AI projects stall because teams skip the unglamorous work clean data pipelines, retrieval that actually retrieves, evaluations that catch regressions, and product surfaces users trust. The good news is that 2026 has settled on a small, repeatable set of architectures that work in product...

We started Best of AI about a year ago as a curated list of AI tools worth using. Today the whole thing is open source on GitHub — data, site, scripts, CI. Community-driven from here on out. Flat files, no database Every tool is a Markdown file in content/tools/ . Categories live in data/categories.yaml . The leaderboard ranks tools from data/leaderboard.yaml . No Postgres, no headless CMS, no vendor lock-in. Clone the repo, git grep for what you need, send a PR when som...

This article was originally published on BuildZn . Spent weeks battling flaky AI agents that just couldn't stick to the script. Multi-step tool use was a nightmare, constantly hallucinating API calls or just flat-out ignoring the defined tools. Everyone talks about the raw power of new open LLMs, but nobody benchmarks them for reliable agentic workflows. Turns out, GLM-5.2 for open agent benchmark testing drastically changed the game. The Agent Reliability Problem: Why Open ...

AI code generation has scaled. Verification hasn’t — and that gap is becoming technical debt. The application worked. That was the dangerous part. After 47 days, 1,384 commits, around 250 spec files in Obsidian, more than 470 test files, and an estimated 100M+ generated output tokens, I had a working system. The features existed. The tests ran. The pull requests were merged. And I still wanted to throw the codebase away. Not because AI couldn’t write code. Quite the opposite. ...

Every Android developer eventually hits this moment. Your app works. Your listing is ready. You're about to hit publish. Then Google Play Console says: "You need at least 12 testers who have been active in your closed test for 14 days." You think: "That sounds easy." It is not easy. This is the honest breakdown of what I tried, what failed, and what actually worked — including a tool I ended up building because nothing else solved it cleanly. The Obvious Things That Don't Work Fr...

TypeScript Isolated Declarations: Real-World Performance Gains in Monorepo Build Times Most monorepo build bottlenecks stem from sequential declaration file generation. TypeScript's default behavior requires analyzing every import chain before emitting a single .d.ts file. This sequential dependency creates a cascading delay where package builds queue behind one another. The --isolatedDeclarations flag eliminates this bottleneck by enabling parallel declaration emit. Teams report 3x to 1...

Series links Part 1: Everything You Know About Scaling Web Apps Breaks When You Serve an LLM Part 2: The Request Is the Wrong Unit of Scale for LLMs on Kubernetes Part 3: How Do You Fit a Trillion-Parameter Model Into a Kubernetes Cluster? Part 4: Before the Pod Starts: GPU Node Setup for LLMs on Kubernetes Part 5: OpenAI Already Told Us the Kubernetes Scaling Story, Most People Just Did Not Read It Closely So far in this series, we have covered the mental model, t...

You configured your app to use gpt-4o . Your provider returned a response from gpt-4o-mini . Same HTTP 200. Same JSON structure. But 10x the error rate and half the quality. This isn't a hypothetical. It's happening every day in production AI systems. The Scale of the Problem When a provider changes the model serving your request without notice, it's called a silent model swap . And it's remarkably common: Provider-side upgrades : "We've upgraded you to a faster mode...

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