AI Tools Accelerates Coding, but Not Overall Software Delivery, GitLab Research Finds
GitLab's 2026 AI Accountability Report highlights an AI Paradox: although 78% of developers say they code faster, overall software delivery has not accelerated due to downstream testing and review bottlenecks and new challenges for enterprise governance and traceability.
“You Had One Job”: Why Twenty Years of DevOps Has Failed to Do it
Let’s start with a question. What is DevOps all about?
AI Agent Lands PRs in Major OSS Projects, Targets Maintainer...
An AI agent is merging PRs into major OSS projects and cold-emailing maintainers to drum up more work.
TERMINAL-BENCH-SCIENCE
A benchmark for evaluating AI agents on research workflows across scientific domains
AI should help us produce better code - Agentic Engineering Patterns
AI should help us produce better code - Agentic Engineering Patterns
Stanford AO — Building the autonomous organization
Stanford AO is building the autonomous organization — an incubator at Stanford OpenLab for agent swarms, DAOs, AI villages, and related experiments.
AI-assisted Reviewing is Necessary and Should be Open
Peer review is facing a death spiral. AI production tools are speeding it up. AI-assisted reviewing is necessary and should be open.
What spec-driven development gets wrong
The most powerful AI software development platform with the industry-leading context engine.
Dark Cloud Gathers as Bill Comes Due for AI Industry
AI companies are finding they can no longer sustain footing the bill of their heavily vibe coding customers.
Karpathy says developers have 'AI Psychosis.' Everyone else is next.
Anthropic’s Mythos, Gen Z’s backlash, and Meta’s token binge all point to the same shift: developers are feeling AI first, but not for long.
The 8 Levels of Agentic Engineering — Bassim Eledath
AI's coding ability is outpacing our ability to wield it effectively. That gap closes in levels — 8 of them. Here's the progression from tab complete to autonomous agent teams.
The AI "Evaluation Crisis" Is an Opportunity to Get Data Flow Right
Why the AI evaluation crisis could force a reckoning on dataset provenance, attribution, and consent.
Harness Engineering for Self-Improvement
The concept of recursive self-improvement (RSI) dates back to I. J. Good (1965), where he defined an “ultraintelligent machine” as a system that can surpass humans in all intellectual activities and design better machines to improve itself. Yudkowsky (2008) used the phrase “recursive self-improvement” for a specific feedback loop: an AI uses its current intelligence to improve the cognitive machinery that produces its intelligence. This feedback loop in modern AI may indicate the model rewriting its own weights directly, or more broadly the model improves the training pipeline and the deployment system, which in turn enables a better successor model with improved performance across economically valuable tasks. The speed of research development in AI has been shown to drastically accelerated in frontier labs (Anthropic; OpenAI).
Coasts — Containerized Hosts for AI Agents
Free, open source parallel runtimes for AI agents. Run multiple isolated environments on your machine — no cloud, no conflicts.
Video Shows Amazon Drone Dropping Package Into Pond
Amazon's Prime Air Delivery service is notching a few misses these days, including a number of packages delivered straight to Davy Jones.
