Block developed BuilderBot on top of its open-source Goose framework, enabling engineers to manage a fleet of AI coding agents via a single Slack thread by tagging @builderbot. BuilderBot handles research, planning, and coding across hundreds of services, pulling tickets from Linear/Jira, creating branches, opening PRs, and iterating on CI feedback. It operates on source code and configs only, never customer data. The system runs 200k+ operations daily, merges ~1500 PRs weekly (15% of production changes), and has reduced months-long work to days. Block open-sourced Goose and co-developed the MCP protocol with Anthropic, amid a restructuring that cut 40% of staff.

Chainguard expands its AI coding agent security push with a public registry of 1,000+ hardened agent skills, a private registry, and a hardening service for internal skills. The service treats agent skills as first-class software artifacts, offering continuous hardening, audit trails, and support for tools like Claude Code, Cursor, GitHub Copilot, and Gemini CLI. It also addresses internal agent skill sprawl with versioning and access controls.

The author created a fully in-browser Python/Pandas/Git practice environment for online courses and corporate training. Built with Svelte, Pyodide, isomorphic-git, LightningFS, and CodeMirror, it features an animated Git simulator showing commits and file movements, plus an AI tutor powered by Claude Haiku that provides hints without giving away answers. The project was largely developed with Claude Code.

TrendHawk is an AI pipeline that surfaces ideas from 25 subreddits not typically covered by Hacker News. It has been running on Substack for two years, offering a way to discover overlooked discussions.

The most expensive AI mistake is not when your coding agent gets something wrong once, but when it repeats the same error. This article introduces the concept of 'scar tissue'—durable memory of failures that helps AI avoid repeating mistakes. Unlike context, scar tissue represents learned judgment. Tools like Empirical provide a memory layer to store and retrieve these lessons, making AI agents more experienced over time.

Amazon Bedrock AgentCore introduces new capabilities for connecting agents to organizational, web, and paid knowledge, along with optimization features for continuous improvement and enhanced policy controls.

Prime Day 2026 is next week, but you can save up to 45% right now on our editors' favorite Anker portable power banks, multi-device chargers, and USB-C cables.

MolmoMotion is a new 3D motion forecasting model that predicts future 3D point trajectories of objects given a video frame, 3D points on an object, and a language instruction. It outperforms existing methods in robotics planning and controllable video generation. The model is accompanied by the MolmoMotion-1M dataset and PointMotionBench benchmark.

Generative AI complicates the definition of 'use' for musical works. Companies like Sureel and SoundVerse are developing attribution systems to track training data usage and ensure musicians are compensated when their work trains AI models. This raises technical, ethical, and policy challenges.

Amazon's new Kindle Scribe foregoes the front light for a more affordable $429: pitting it against the ReMarkable Paper Pure. This comparison covers reading, work usability, display clarity, writing experience, and portability. The Kindle Scribe excels as an e-reader with its extensive library and AI features, while the ReMarkable Paper Pure is better for productivity with its distraction-free interface and office integrations. The writing experience is a tie, each appealing to different preferences. Portability favors the Paper Pure due to its grippable bezel.

Research in “Nature” shows our conversational AI system matches primary care physicians in complex disease management.

AWS announced new release management features for its DevOps Agent at the AWS Summit New York, including release readiness review and autonomous release testing, aimed at addressing the delivery bottleneck caused by AI-generated code.

The human brain operates on just 12-20 watts, while AI systems require billions of watts to simulate similar cognitive functions. This article delves into the vast energy efficiency gap, explains the brain's architectural advantages (co-located memory/processing, sparse activation, event-driven signaling), and highlights current neuromorphic computing efforts (spin-memristors, phase-change chips, Super-Turing AI) aiming to bridge the divide.

As more news content is generated by AI, language becomes homogenized and less innovative. Research shows that AI training on synthetic text leads to 'model collapse', reducing linguistic diversity. This not only affects journalism but also impairs society's ability to describe and discuss reality.

A detailed record of building an intelligent Gomoku game from scratch, featuring heuristic AI, win detection, and a fully local browser interface.

The author reflects on the blog Interconnects three years into weekly writing, discussing its role in their career goals, recent advising roles with Arcee AI and Mercor, and plans to evolve the blog's operations including paywalled comments and more paid articles to maintain a high-quality, niche audience.

HP's Omen gaming laptop is on sale for $1,599, saving you $700 ahead of Amazon Prime Day. It comes with a free Thunderobot 7-in-1 USB-C Hub. The laptop features an AMD Ryzen 9 processor, Nvidia GeForce 5060 GPU, 32GB DDR5 RAM, and a 16.1-inch 144Hz display, making it a solid budget gaming machine.

The author explains the motivation behind building a custom AI assistant instead of using existing tools, detailing the architecture, tech stack, and implementation process including LLM, LangChain, memory management, and tool integration.

Many enterprises underestimate the complexity and long-term cost of building their own AI agent platform. This article analyzes four underestimated components—memory, governance, eval, and orchestration—and provides five questions to ask before committing to such a project.

Propane provides automatic customer context for product teams and agents, helping them understand user interactions.

This site was built and is operated by two AI agents: Claude Fable 5 as supervisor and MiniMax-M3 as daily writer. The architecture, failures, costs, and key takeaways are detailed. The total running cost is tens of pounds per month.

This article introduces human-in-the-loop controls for an AI agent, classifying tools by risk, implementing permission modes, and adding an ask_question tool to balance autonomy and safety.

Meta's new AI Mode in Facebook search uses public posts from Facebook Groups and Instagram Reels to answer complex queries like weekend plans. Testing shows it can provide false information, such as recommending a closed pool or a coffee shop in Texas instead of Minneapolis, but it avoids spreading serious misinformation about vaccines, 9/11, and elections.

The Appia Foundation, under the Linux Foundation, aims to produce open specifications for verifying AI trustworthiness across the supply chain. Founding members include Google, Microsoft, OpenAI, and others. The foundation will develop conformity specifications that translate international standards into assessable criteria, enabling evidence pass-through across different parties.

A calf cramp turned out to be a blood clot, and an AI tool correctly identified it, highlighting the potential of AI-assisted diagnosis alongside human physicians.

Enterprises are pouring billions into AI and getting garbage back. A new startup, Clario, says it knows why and has built the first platform designed to fix data ROT (redundant, obsolete, trivial files). Launched from stealth with $6M seed funding, Clario connects to enterprise file systems, scans metadata to identify junk, and triggers workflows for cleanup, charging only when action is taken. Early customers show up to 60% garbage rates, impacting AI project quality.

Google Home Speaker ships June 29th, slightly delayed from spring. Designed for Gemini for Home, it costs $99, features four colors, and serves as a Matter controller and Thread border router.

The Partner Well-Architected Framework (PWAF) provides AI-ready architecture guidance, technical standards, and best practices for partners building on Databricks. Since its February launch, new additions include the AI Partner Dev Kit, expanded architecture patterns, and the open-source Firefly reference application, helping partners accelerate development and adopt proven design patterns. PWAF continues to evolve with the Databricks platform and AI market, enabling partners to build differentiated products, measure adoption impact, and unlock growth opportunities.

Databricks is expanding its Free Edition with five new products—Genie Code, serverless GPUs, Lakebase, Agent Bricks, and Lakeflow Designer—to provide a complete toolkit for building data and AI projects. Over 500,000 users have already used Free Edition, and the new additions enable end-to-end development from data engineering to AI agents.

Databricks expands its partner ecosystem with new Marketplace, Apps, OpenSharing, and Genie Agent capabilities that help partners build, distribute, share, and monetize solutions on the platform.