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I benchmarked my compiled language against Node.js, Go, and Python. 1.34 million requests per second is not a typo.
DEV Community • 2026-04-22 13:00

I benchmarked my compiled language against Node.js, Go, and Python. 1.34 million requests per second is not a typo.

Last week, I published an article about building Doolang, a compiled language I made specifically to eliminate API boilerplate. At the end, I dropped a number: 1.34M RPS. I got the same question in at least a dozen DMs: "Okay but where's the actual proof?" Fair point. Throwing out a benchmark number in a sentence and moving on is exactly the kind of thing that deserves skepticism. So I set up a ...

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4m read
The Cloudflare Blog • 2026-04-22 13:00

Making Rust Workers reliable: panic and abort recovery in wasm‑bindgen

Panics in Rust Workers were historically fatal, poisoning the entire instance. By collaborating upstream on the wasm‑bindgen project, Rust Workers now support resilient critical error recovery, including panic unwinding using WebAssembly Exception Handling.

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1m read
DEV Community • 2026-04-22 12:58

Extreme AI Programming

For the last eighteen months, most of the code shipped by the team I run has been written by agents. That single fact has slowly reshaped every habit I thought I understood about how software actually gets made, and the gap between what Agile assumed in 1999 and what the work looks like now has become too wide to keep quiet about. There is a harder part beneath that gap, which the industry has be...

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Lobsters • 2026-04-22 12:51

Markdown (2004)

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1m read
Kubernetes Is Not an LLM Security Boundary
DEV Community • 2026-04-22 12:50

Kubernetes Is Not an LLM Security Boundary

The CNCF flagged it three days ago. Most teams haven't processed what it actually means. Kubernetes lacks built-in mechanisms to enforce application-level or semantic controls over AI systems. That's not a bug. It's not a misconfiguration. It's a category error in how we're thinking about AI workload security. Kubernetes isolates containers. It does not isolate decisions. ...

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3m read
Building a coding course generator in public #2: what I learned
DEV Community • 2026-04-22 12:49

Building a coding course generator in public #2: what I learned

Building fast with AI is easy but building something you can actually run, inspect, and trust is harder. This project is my attempt to teach builders core engineering intuitions when building projects. This is the second and closing post in my mini build-in-public series around a coding course generator. The goal was not to polish a hosted SaaS. It was to validate the concept quickly, release the...

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7m read
DEV Community • 2026-04-22 12:47

the model alone is not the agent. The harness plus the model is the agent.

An agentic harness is the orchestration and control layer wrapped around a base language model that transforms it from a stateless text predictor into an agent capable of taking actions, calling tools, maintaining state across steps, and executing multi-step tasks. The model provides raw capability; the harness provides the structure that turns that capability into coordinated behavior. Different ...

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DEV Community • 2026-04-22 12:46

SARIF: The Format That Connects Your AI Auditor to GitHub Code Scanning

You've built a tool that finds security issues. Maybe it's an AI auditor like spectr-ai, maybe it's a custom linter, maybe it's a script that checks for hardcoded secrets. The tool works great locally. But how do you get those findings into GitHub so they show up as annotations on pull requests, in the Security tab, and in code scanning alerts? The answer is SARIF — Static Analysis Results Interc...

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5m read
Introducing Lingo.dev v1.0
DEV Community • 2026-04-22 12:45

Introducing Lingo.dev v1.0

Every localization team knows the pattern. Translators unfamiliar with the product get brand terms wrong. LLM wrappers have no memory across requests. After a few releases, terminology drifts - and nobody notices, because holistic quality scores say 0.95 and move on. We measured the gap. Injecting glossary context at inference time reduces terminology errors by 17-45% across five LLM providers an...

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AI made me lazy. I didn’t notice until it was too late.
DEV Community • 2026-04-22 12:45

AI made me lazy. I didn’t notice until it was too late.

I used to actually think through problems. Now I just ask. Here’s what that’s doing to my brain and whether “lazy” is even the right word. There’s a specific kind of shame that hits when you’re staring at a for-loop you’ve written a thousand times and you’re waiting. Just sitting there, cursor blinking, waiting for Copilot to finish the sentence for you. Not because you don’t know how. You absol...

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13m read
DEV Community • 2026-04-22 12:42

HTTP/2 Multiplexing: Why One Connection Is Enough

In the age of high-concurrency systems, opening a new TCP connection for every request is performance suicide. What We're Building We are designing a backend service that handles thousands of concurrent requests without triggering connection timeouts. The goal is to eliminate the latency overhead of TCP handshakes for every single interaction. By leveraging HTTP/2 features, we can se...

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Understanding OpenClaw’s Hook: The Key to Evaluating Agents Properly
DEV Community • 2026-04-22 12:41

Understanding OpenClaw’s Hook: The Key to Evaluating Agents Properly

Working with a tool like OpenClaw can sometimes feel like a black box, with many moving parts that make it hard to understand what is happening under the hood. However, OpenClaw’s Hook functionality changes that by giving you clear visibility into your agent’s behavior. OpenClaw Hooks let you monitor events as they occur in real time, such as when a message is received or a tool call is made, p...

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11m read
DEV Community • 2026-04-22 12:40

Building for the Next 10 Years: The Design Principles of apcore

We’ve reached the end of Volume I of our series. We’ve explored the problems with "Vibe-based" engineering, the rise of the Cognitive Interface, and the immediate power of the apcore Adapter ecosystem. But as any experienced engineer knows, a standard is only as good as its foundational principles. In the fast-moving world of AI, where frameworks disappear every six months, how do we build somet...

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3m read
DEV Community • 2026-04-22 12:40

Why Your AI Productivity Dashboard Is Lying to You

Chapter 2 Deep-Dive: The Measurement Problem Companion document to "Software Development in the Agentic Era" By Mike, in collaboration with Claude (Anthropic) The main guide says subjective productivity reports are unreliable. This chapter narrows that claim to a more specific and more useful one: AI frequently improves coding-stage activity. Teams often mis-measure whet...

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22m read
DEV Community • 2026-04-22 12:38

The WSL2 Guide I Wish I Had: 4 Gotchas That Will Eat Your Afternoon

WSL2 is a fantastic development environment on Windows. It's also a system with sharp edges that the official docs rarely highlight — the kind you only discover after losing an afternoon to a process eating 300% CPU for no apparent reason. This guide documents four specific problems I've hit repeatedly over the last year while using WSL2 as my main development environment for Docker-based project...

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4m read
DEV Community • 2026-04-22 12:36

How I Built an AI-Powered Code Review Bot That Saves 10 Hours/Week—Here's the Cheapest Way to Deploy It

How I Built an AI-Powered Code Review Bot That Saves 10 Hours/Week—Here's the Cheapest Way to Deploy It My team was drowning. Every pull request meant 20-30 minutes of manual review—checking for security holes, performance issues, naming conventions, and architectural patterns. With 15-20 PRs per day across our microservices, that's 5-10 hours burned on repetitive analysis that a machin...

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Product Hunt — The best new products, every day • 2026-04-22 12:35

Foil AI Code Security

AI code security review that runs entirely on your Mac Discussion | Link

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A 3D Body from Eight Questions — No Photo, No GPU
DEV Community • 2026-04-22 12:34

A 3D Body from Eight Questions — No Photo, No GPU

8 questions in, 58 Anny body params out. A small MLP trained with a physics-aware loss, runs in milliseconds on CPU. Height accuracy 0.3 cm, mass 0.3 kg, BWH 3-4 cm — better than our photo pipeline on circumferences, without needing a photo. That's the questionnaire path I promised in the previous post. The whole story begins with one observation: that height and weight can estimate body measurem...

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12m read
DEV Community • 2026-04-22 12:34

The Keystone Burnout: How Engineering Leaders Break Under Constant Vigilance

I had three major burnouts in seven years at the same role, and the consistent mechanism across all of them was domain switching — holding many distinct mental models and moving between them under pressure. The through-line wasn't entirely the quantity of work, though the quantity was a contributing factor. It was the number of distinct domains I was responsible for and the cognitive tax of moving...

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13m read
is-kit vs Zod: A Practical Comparison from 3 Perspectives
DEV Community • 2026-04-22 12:32

is-kit vs Zod: A Practical Comparison from 3 Perspectives

Hi everyone! I’m a frontend engineer who sometimes wonders: “Am I using AI… or is AI using me?” When writing runtime validation in TypeScript, Zod is usually the first choice. There are other options like Valibot and ArkType, but today I want to look at something a bit different: nyaomaru / is-kit Lightweight, zero-depe...

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4m read
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