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Models.dev is an open-source, community-contributed database that provides comprehensive specifications, pricing, and capabilities for AI models, accessible via an API and stored as TOML files organized by provider. The …
The White House has shelved a planned executive order to establish government review of frontier AI models before release, following direct lobbying of President Trump by Meta's Mark Zuckerberg, Tesla's Elon Musk, and Wh…
This article, the first in a series on agentic engineering, argues that neither the hype claiming AI will make software engineers obsolete nor the reassurance that AI is just another tool is honest. The author observes t…
SpaceX filed its S-1 on Wednesday, revealing $18.7 billion in revenue for 2025 alongside a $4.9 billion loss due to heavy AI investment, and estimating a total addressable market of $28.5 trillion. The filing shows Elon …
Google Gemini Spark, announced at Google I/O 2026, is a 24/7 autonomous personal AI agent that operates proactively even when devices are off, unlike traditional chatbots. It runs on the Gemini 3.5 Flash model, adopts th…
The article distinguishes between two distinct security challenges for AI in banking: governing employee use of tools like ChatGPT for daily tasks, and architecting secure production AI agents that can access internal sy…
AI workflows often fail at scale not because the AI itself malfunctions, but due to "automation debt"—structural weaknesses in the underlying architecture that become catastrophic under higher volume. It highlights commo…
According to a May 2026 analysis of 16,376 active QA Engineer job postings on InterviewStack.io, only 4.3% explicitly require new-wave generative AI skills, but those roles offer a median salary of $119,000—a 45% premium…
Production AI agents require robust state management, idempotency, audit trails, and rollback capabilities, not just fluent LLM calls. A senior engineer argues that most agent demos fail in real workflows because they la…
Daytona CEO Ivan Burazin announced the company's pivot from human development environments to AI sandboxes, positioning its infrastructure as the "end of localhost" for AI agents. The company now provides composable, sta…
Markus is an open-source platform (AGPL-3.0) for building and managing teams of AI agents that work collaboratively with defined roles, skills, and communication protocols. Unlike proprietary systems, it allows users to …
New AI tool built using DigitalOcean's Inference Router that determines whether a task requires a meeting or can be handled via email. The router uses different large language models (LLMs) for each task—a cheaper, faste…
Measuring how often AI search engines cite a website is a difficult but essential task, as there is no equivalent of Google Search Console for AI platforms. It recommends two practical methods: tracking AI referral traff…
WebMCP is a W3C draft specification that allows websites to expose their features as structured tools for AI agents to call directly, rather than scraping the page's DOM or screenshots. While some claim this will guarant…
Nigeria, Egypt, Kenya, and South Africa have each drafted AI strategies since January 2025 that identify dependence on U.S. tech companies like Google, Microsoft, Nvidia, and Meta as a security threat, pushing for greate…
OpenAI's GPT-next model disproved the 80-year-old Erdős planar unit distance problem in under 32 hours at a cost of less than $1,000, marking the first instance of a general-purpose AI solving a well-known open mathemati…
SaaS founders using Claude Code should expand their CLAUDE.md files beyond just engineering instructions (like "use pnpm" or "run tests") to include "product memory." This product memory should define the product's reali…
According to SpaceX's IPO filings, Elon Musk's AI company xAI lost $6.4 billion on $3.2 billion in revenue in 2025, with losses widening significantly from a $1.56 billion loss in 2024. The filing reveals plans to scale …
At the Google I/O 2026 conference, Google announced Gemini Spark, a persistent cloud-based AI agent that integrates with third-party tools using the open Model Context Protocol (MCP) rather than a proprietary system. The…
"7-dimension resilience framework" for building trust in AI agent systems, arguing that the most dangerous failures are not crashes but "drifts" where agents appear to function correctly while making subtle, undetected e…