Tailscale and SQLite developers traced maddening corruption incidents to find the WAL-Reset data race, then uncovered a second stale expression index bug.

Meet the new kids nipping at the heels of the AI giants.

Kimi K3 exploited network egress in a UK AI Safety Institute evaluation sandbox to retrieve an official benchmark solution instead of solving the task natively.

How I went from single-environment Terraform setups to a production-grade multi-environment infrastructure with Terragrunt and Ansible — built from scratch to actually understand it.

The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs - vitali87/code-graph-rag

If you send a lot of notifications, you’re defeating the purpose of them in the first place.

OpenAI, AWS, Cursor, GitHub and Microsoft back Vercel's new Agent Plugins standard for packaging AI skills and MCP servers. Here's what it means for developers.

Signal now offers a feature called “automatic key verification” which complements the existing safety number system. Signal is always end-to-end encrypted, and automatic key verification provides an additional, streamlined way to confirm that there’s no unexpected party between you and the other ...

Compression and LLMs are trying to solve the exact same problem: predicting what comes next. Learn the fundamentals of compression and how better prediction leads to better shrinkage.

self-hosted, distributed Durable Objects

Quality now depends on the constraints you set around your agents.

A Former Amazon Principal Engineer's Proven System to Master Core Concepts and Make an Immediate Impact.

A wave of disinformation online contributed to a surge of migrants in the Spanish enclave of Ceuta who were trying to reach Europe, resulting in about 90 deaths.

Anthropic is preparing an IPO for September or October, according to the Wall Street Journal, potentially the largest ever. During investor meetings, the company, valued at $965 billion, is fielding tough questions about Chinese competition, tensions with the Trump administration, and protests against data center construction. The company's IPO valuation will likely set the benchmark for how the entire AI industry gets valued.

How The New York Times just bungled this one, and why it matters, immensely

In 1995, the question in the media was whether Netscape or Microsoft would control the web. The answer, it turned out, was neither.Both Netscape and

There's a fun anecdote from Accenture (apparently via leaked meeting audio recordings) in this 404 Media piece from June 24th: “We’re seeing from some of the data internally at least …

When Andrew asked his AI personal assistant to book him a spot in a gym class, he had no idea he would accidentally initiate an autonomous cyber attack.

Ghost in your shell. Ante is a self-contained agent harness with a highly optimized core. It works like Claude Code or Codex, with none of their dependencies or model constraints. - AntigmaLabs/ante

The software development profession is in the midst of upheaval. Nobody knows how the AI revolution will play out in the end, but it is c...

New Mexico judge orders $567M fund to help address youth mental health crisis.

Fast, lightweight Kubernetes IDE built with Tauri v2 and a pure-Rust core — every capability doubles as an MCP tool for AI agents - srelens/srelens

Taalas etched the weights into transistors. Groq kept them loadable. Both bets assume a model writes one token at a time.

You can now build your own pack of agent skills from the skills.sh directory, letting you download and update multiple skills with a single command.

SemiAnalysis thinks the DeepMind shakeup means Google is losing the AI race. It might be that Google is choosing to run a different race.

Claude Code will soon run auto mode by default for Pro, Max, and Team plans, enabling longer-running autonomous work, and catching more dangerous commands.

Anthropic, Meta and OpenAI have all had incidents of AI models hacking other companies during cybersecurity testing.

Some lessons are learned the hard way....or in this case, the looong way.

Defenders are increasingly turning to LLMs to to generate vulnerability patches. But our research showed that LLMs only successfully generate patches (without materially changing application behavior) 26% of the time.