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GitHub Spark has been retired. Learn what changed, what happens to existing apps, and which AI coding tools can help you build apps using natural language.

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From concept generation to construction documentation, here are 15 AI tools architects should know about — and know when to use.

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The Federal Aviation Administration (FAA) is preparing to launch an artificial intelligence tool called Strategic Management of Airspace Routing Trajectories (SMART) to help manage air traffic over Washington, D.C. The tool, which will generate alternative routing options through existing FAA channels to controllers, has caused confusion and concern among airlines. Despite three months of near-weekly meetings between the FAA and industry representatives, airlines remain unclear about whether air traffic controllers will use the AI system directly and whether airlines need to train their staff on it. Industry officials described weeks of confusion, with one stating that people had been 'freaking out' about the new technology. The panic eased after FAA officials clarified that the tool would be used in a limited way initially, with a 90-day testing period before any wider rollout. The FAA's decision to implement SMART follows two fatal aviation accidents: the January 2025 collision between an American Airlines regional jet and an Army Black Hawk helicopter over the Potomac River, which killed 67 people, and the March 2026 Air Canada Express jet incident at LaGuardia Airport where a firefighting vehicle crossed an active runway, resulting in two pilot deaths and multiple injuries. Transportation Secretary Sean Duffy, who has faced scrutiny over aviation safety, has promoted the SMART initiative as part of a broader effort to modernize the aging air traffic control system. The FAA Administrator Bryan Bedford has emphasized that the system will be tested for 90 days before any expansion. The industry's initial reaction highlights the challenges of integrating new technology into complex operational environments, particularly when safety is a paramount concern. The FAA's approach to rolling out the AI tool reflects a cautious strategy to address industry concerns while advancing aviation safety and efficiency.

A practical, department-by-department look at where AI creates real value for Atlanta SMBs — sales, marketing, finance, HR, ops, IT, and more.

Learn what to verify before connecting FMP datasets to any AI research tool. Connecting financial data to an AI tool can make research faster, but the connectio

The British rock band Muse has had to change their social media handles to accommodate Meta's new AI tool, sparking confusion and ironic commentary from fans. The band, known for their dystopian lyrics and themes of technological control, had to relinquish their original handles on platforms like X/Twitter and Instagram to make way for Meta's AI assistant named 'Muse'. This decision has led to mixed reactions, with some fans highlighting the irony of the band's shift from warning about machine takeover in their music to adopting an AI tool. The AI assistant, launched in the United States, is designed to assist with tasks such as email management, scheduling, and goal planning. While Muse has not publicly commented on the change, their latest album 'The Wow! Signal' has received critical acclaim, with the band's lead singer Matt Bellamy reflecting on personal challenges and creative rebirth. The band's upcoming UK and European tour, featuring performances at major venues including Manchester's Co-op Live and London's The O2, marks their return to the stage after a period of creative introspection. The incident has also sparked discussions about the broader implications of AI adoption in the music industry, with fans noting the band's historical role in critiquing technological overreach. Despite the controversy, Muse continues to engage with their audience through their evolving digital presence, balancing their artistic legacy with modern technological integration.

AI liability: what happens when AI gets it wrong in a clinical setting? Which docs are already in the crosshairs? Here's what you need to know.

 Meta, the corporate umbrella behind Facebook, Instagram, and WhatsApp, has officially launched Muse Code, a new artificial intelligence system designed to assist developers in writing software. Announced by CEO Mark Zuckerberg via an X post, Muse Code functions as a “terminal coding agent” capable of handling complete software engineering tasks—from planning changes and writing code to validating results. This move reinforces Meta’s continued investment in AI, even as its public image remains tied to its 2021 metaverse pivot.  What sets Muse Code apart is its ability to maintain context across a developer’s session. According to Zuckerberg, the tool runs specialized background agents that stay active throughout, learning a coder’s habits and preferred patterns. This means if a developer has previously generated a specific code fragment using Muse, the system remembers it for future reuse. Additionally, Muse dynamically allocates tasks: for complex requests, it “fans out” work to separate sub-agents operating in parallel within isolated worktrees, ensuring the original codebase remains untouched during experimentation.  Despite its technical sophistication and cost advantage, Muse Code comes with a notable caveat: privacy. As with many AI-driven platforms, the tool’s ability to learn from user behavior and retain session data raises questions about how developer information is stored, used, and potentially shared. While Meta has not disclosed full details on data handling policies for Muse Code, the trade-off between affordability and privacy remains a critical consideration for enterprises and individual developers alike.  Muse Code arrives amid Meta’s aggressive push into AI infrastructure and tooling. Zuckerberg has previously stated ambitions for AI to write most of Meta’s code within 12 to 18 months, and the company has reported a 30% rise in engineer productivity since early 2025, largely attributed to AI coding assistants. This launch also coincides with similar moves by competitors—Google recently unveiled Gemini 3.7 Flash, a low-cost AI model for coding workflows—highlighting a growing industry race to democratize AI-assisted development. For developers, Muse Code represents both opportunity and caution. Its ability to reduce repetitive tasks, preserve work mid-crash, and scale complex projects could significantly boost productivity. However, the privacy implications underscore the need for transparent data policies and robust security measures. As AI coding tools become more prevalent, the balance between efficiency, cost, and data sovereignty will likely shape the next chapter of software development.

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How brands can simplify their martech stack, reduce costs, eliminate tool sprawl, and improve marketing ROI through smarter consolidation.