A Rust HTTP server for Python applications. Contribute to emmett-framework/granian development by creating an account on GitHub.

McKinsey's North America chair says AI is helping workers get more done, though broad companywide gains remain elusive.

Brilliant jerks, ZIRP-era managers, and how psychological safety lost the plot. Part 3 of my conversation with Dr. Cat Hicks.

We benchmark eight decision models for hallucination detection, LLM evaluation, and agent routing, comparing accuracy, latency, cost, and prompt sensitivity.

A client-side circuit breaker stays open for hours, blocking 95% of traffic, and won't close. Our service shows no sign of being unhealthy. To understand the anomaly, we build a custom span...

Treating AI observability as security-critical infrastructure

How we capture real production database traffic at Airbnb and replay it offline to load-test, plan capacity, and de-risk upgrades.

YouTube video by Lenny's Podcast

ReviewBench is a benchmark for code review agents built on representative GitHub pull requests, multi-source ground truth, and calibrated evaluation.

A look into what has changed, what’s still the same – and what’s broken – in the tech industry. The full video and the summary of my keynote at LDX3 New York

Forty years of computing was designed around humans as the reader, writer and operator. On AI21's YAAP podcast I argued that's no longer a design goal, and what that means for programming languages.

One of the original promises of a personal computer was that the computer would be personal. It's kind of strange to think that, now in 2026, it has taken circa 40 years for this to actually become tr...

It’s only been a year since the e-commerce platform declared it was very happy with React Native, but now Shopify is dumping it – and the reason, unsurprisingly, is AI

Announcing Gemini 4 Argon, our frontier model for real-world coding, enterprise knowledge work, and cyber defense, rolling out soon.

Line-by-line review is going away. Whatever replaces it has to earn the trust reading used to provide.

Tell me you don’t understand software without literally using those words!!!

Burning tokens is a double-edged sword.

37signals – the creator of Ruby on Rails (RoR) – moves over to agents generating nearly all its code. Also: Amazon and Meta struggle to hire engineers, code reviews will probably also go away and more

Earlier this year, I believed planning was going to become the most important part of building software with AI.

Agents get tired like humans and overload like machines. Once you have thousands of them, the hard part is scheduling and coordination, not intelligence.

Why developers are ditching traditional LLMs for typed decisions, and why Jev's confidence scores need a serious second look.

TL;DR: The biggest cost to devs of an agent is re-reading its own context, which costs the provider close to nothing to serve.

A benchmark where frontier language models drive a real comma-equipped Toyota through a cone course, one command at a time, with a human supervisor ready to brake.

Learn how we optimized performance and efficiency serving the workload that is changing software engineering forever — and you can too.

A while back I wrote about language modeling without neural networks, where I generated Shakespeare with an unbounded n-gram model: no weights, no training, …

Watermarks that spy on users are no mere watermarks

c’mon, try doing a breakthrough

This October 2026 we challenge you to abstain from LLM based tools entirely. Think of this as a fast for your mind! This is not a judgement of others, but a personal challenge to you.

Intentional writing will likely become more valuable.

We cut PR wait time and running costs by rethinking CI as a system, from the infrastructure underneath it to how work gets scheduled and tests get parallelized.

The Tetris effect is one of psychology’s most easy to reproduce experiments.Simply spend a bit of time playing the eponymous game every day for a few weeks.A...

Determinism, architecture, and the de-sloppification of legacy code.

YouTube video by AI Engineer

TIN is a fast, full-featured, full-text search index for Postgres

TypeSafe launched Jev on September 15 claiming 193x faster and 444x cheaper than frontier LLMs, zero hallucination, and calibrated probabilities. The launch evals measure agreement with GPT-6 and Fabl...

Cloudflare's global network is immense but not limitless. As we look for small ways to trim our resource usage, we sometimes get lucky and we can cut significantly more. Here’s how we reduced one of o...

YouTube video by TheAIGRID

What if retries could know when they’re helping, and when they’re making things worse? Uber Engineering built error ownership to prevent and contain retry storms.

A detailed explanation of Postgres deletions and how to avoid poor deletion and garbage collection performance.

TigerBeetle is a transaction-processing database. Its double-entry accounting primitives are simple and powerful: they can represent the movement or exchange of any quantity, including financial trans...

We should do more than push information around.

A deepdive into how Codex has “taken over” OpenAI, how the frontier lab builds its agentic software factory, and the engineering challenges of one billion users. Details from inside OpenAI

JDK 27, the reference implementation of Java 27, is now Generally Available. We shipped build 35 as the second Release Candidate of JDK 27 on 20 August, and no P1 bugs have been reported since then. Build 35 is therefore now the GA build, ready for production use. GPL-licensed OpenJDK builds from Oracle are available here: https://jdk.java.net/27 Builds from other vendors will no doubt be available soon. This release includes nine JEPs [1]: 523: Make G1 the Default Garbage Collector in All Environments 527: Post-Quantum Hybrid Key Exchange for TLS 1.3 531: Lazy Constants (Third Preview) 532: Primitive Types in Patterns, instanceof, and switch (Fifth Preview) 533: Structured Concurrency (Seventh Preview) 534: Compact Object Headers by Default 536: JFR In-Process Data Redaction 537: Vector API (Twelfth Incubator) 538: PEM Encodings of Cryptographic Objects (Third Preview) This release also includes, as usual, hundreds of smaller enhancements and thousands of bug fixes. Thanks to everyone who contributed this release, whether by designing and implementing features or enhancements, by fixing bugs, or by testing the early-access builds. - Mark [1] https://openjdk.org/projects/jdk/27/

An interactive 3D Redis visualization, from command parsing and key lookup to the allocator, memory pages, RDB, and AOF.