In short: Roblox is upgrading its built-in AI assistant with agentic capabilities including a planning mode that analyses game code before proposing action plans, procedural 3D model generation, mesh generation, and self-correcting loops that test and refine outputs. The update also adds MCP client integration with third-party tools like Claude and Cursor, with a roadmap toward multi-agent parallel workflows in the cloud.

Roblox is upgrading its built-in AI assistant with agentic capabilities that let it plan, build, and test games rather than just answer questions about how to make them. The update adds a planning mode that analyses a game’s code and data model before proposing action plans, procedural model generation that creates editable 3D objects through prompts, and a self-correcting loop that lets the assistant test its own work and incorporate the results into future iterations.

The changes turn Roblox Assistant from a code-suggestion tool into something closer to a junior development partner: one that can examine an existing project, ask clarifying questions, propose an approach, execute it, test the results, and refine its work based on what it finds. For a platform whose 380 million monthly active users include a vast number of creators with limited programming experience, the implications are significant.

What the new tools do

Planning Mode transforms the assistant into a collaborative planner. Rather than responding to individual prompts with code snippets, it analyses a game’s existing codebase and data model, asks the developer clarifying questions about what they want to achieve, and translates the conversation into an editable action plan. The developer can review, modify, and approve the plan before the assistant begins implementation. It is the difference between asking an AI to write a function and asking it to design an approach to a problem.

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Procedural Models, coming soon, will let developers create 3D objects that are defined by code rather than static meshes. A developer can prompt the assistant to generate a bookcase and then adjust its attributes, the number of shelves, the height, the material, through parameters rather than manual modelling. The objects understand physical relationships: a staircase knows how its steps relate to its height, and a table knows that its legs support its surface. This is not generative art; it is parametric design driven by natural language.

Mesh Generation adds the ability to place fully textured 3D objects directly into a game world through prompts, building on Roblox’s Cube foundation model. The company introduced 4D generation in February 2026, powered by Cube, which adds an interactivity dimension to generated objects so they behave correctly in-game rather than sitting as static props. More than 160,000 objects were generated during early access, and Roblox says players using 4D generation showed a 64% increase in play time on average.

The agentic loop

The most consequential change is the self-correcting system. The assistant can now test different aspects of a game, identify problems, surface suggested solutions, and feed those results back into its planning process. This creates what Roblox describes as agentic loops: cycles of planning, execution, testing, and refinement that the AI performs with decreasing human intervention over time.

The roadmap extends this further. Roblox is working on enabling multiple AI agents to work together in parallel, running long and complex workflows in the cloud rather than within the constraints of a local Studio session. The company is also building integration with third-party tools, including Claude, Cursor, and Codex, and has added a built-in MCP client to Roblox Studio’s assistant, letting it connect to external AI services through the Model Context Protocol standard.

The long-term vision, which Roblox has been articulating since it open-sourced the Cube foundation model in March 2025, is that a developer should be able to describe a game in natural language and have AI generate the assets, environments, code, animations, and interactive behaviour to make it real. The agentic tools announced today are incremental steps toward that goal, but they represent a meaningful shift from AI as autocomplete to AI as collaborator.

The vibe-coding parallel

Roblox’s update arrives in the middle of a broader shift in how software is made. Vibe coding, the practice of describing what you want in natural language and letting AI generate the code, drove an 84% jump in App Store submissions earlier this year and prompted Apple to crack down on low-quality AI-generated apps. The same dynamic is playing out in game creation, where the barrier to building something playable is dropping rapidly.

For Roblox, this is both an opportunity and a quality problem. More creators making more games drives engagement on the platform, but only if those games are worth playing. The planning mode and self-correcting loops are, in part, a response to this tension: they are designed to produce better outputs than a single-shot prompt, guiding creators through a structured process rather than letting them generate and publish whatever the AI produces on the first try.

Third-party AI tools for Roblox game creation have already emerged, including Lemonade, SuperbulletAI, and BloxBot. By building agentic capabilities directly into Roblox Studio, the company is trying to ensure that the primary creation experience remains on its own platform rather than fragmenting across external tools that it does not control.

The business context

Roblox’s investment in AI creation tools is backed by strong commercial momentum. The company’s daily active users reached 144 million in Q4 2025, up from 85 million a year earlier. Monthly active users grew from 280 million to 380 million through the year. Full-year 2025 revenue was $4.9 billion, a 36% increase, with 2026 guidance projecting $6 to $6.2 billion. Total Robux purchases reached $6.79 billion in 2025.

These numbers matter because they determine how much Roblox can invest in AI infrastructure and how large the creator ecosystem is that benefits from better tools. A platform with 380 million monthly users and nearly $5 billion in revenue can afford to build foundation models, train agentic systems, and absorb the compute costs of running AI-assisted game creation at scale. Smaller platforms cannot, which means AI creation tools become a competitive moat rather than just a feature.

The Roblox Developers Conference, scheduled for September in San Jose, will likely showcase the next stage of this roadmap. For now, the agentic assistant update positions Roblox as one of the first major platforms to move beyond AI-assisted coding into AI-assisted product development, where the AI does not just write code but plans, builds, tests, and improves what it creates. Whether that produces better games or just more of them is the question that the next year of Roblox development will answer.

Elizabeta Gjorgievska Joshevski’s career spans multiple continents and leadership roles, yet her current focus reflects a consistent theme: understanding how technology translates into business outcomes. As founder and CEO of EverCognitive, she brings that perspective into an AI landscape where many organizations are still defining their AI transformation and how to apply it in practical ways. 

Originally from North Macedonia, Elizabeta began her career in programming and technology education, where she developed both technical expertise and early leadership experience. According to her, those early roles were shaped by building relationships and expanding capabilities, which eventually connected her to global technology ecosystems. That period, she explains, formed her understanding of how organizations adopt technology beyond theory and into real operations.

Her move into Cisco marked a turning point, opening the door to a global career spanning 19 years that would take her from the Balkans to Vienna and later to Dubai to lead multicultural EMEA teams. From her perspective, progression came through exposure to different markets and business challenges rather than a predefined trajectory. She notes that working across regions required constant adaptation, particularly in aligning customer needs with evolving technology strategies.

In Vienna, she led telecom operations across Eastern Europe, managing teams that combined sales leadership with technical execution. She frames this phase as one that demanded both operational discipline and strategic clarity. Elizabeta promotes Servant Leadership principles as a way to elevate the team to connect effectively with C-suite executives. This is what guided her to lead global teams to deliver exceptional results.

Her relocation to Dubai reflected a deliberate choice. Elizabeta explains that Dubai offered a setting where opportunity is closely tied to capability, creating space to continue building her leadership profile. She notes that the region’s pace of development and openness to innovation shaped how she approached large-scale initiatives and organizational transformation.

Over time, her roles expanded to include overseeing enterprise-level operations across EMEA, where she was responsible for a business portfolio. She explains that this level of responsibility requires coordination across global teams and alignment with product and strategy functions. According to Elizabeta, the experience provided her the opportunity to shape the decisions made on a corporate level to accelerate growth across the regions while managing execution complexity at scale.

A gradual shift in perspective began during a leadership program at Harvard between 2013 and 2014. Elizabeta explains this period as a moment of reflection, when she evaluated her career and experiences both professionally and personally, which planted the seed of her next chapter. “I knew my next challenge would be to take all of my experience and the immense knowledge I gained from my time at Harvard to build my own company,” she says. 

That idea remained in the background and started to grow as artificial intelligence became the front and center of every technology conversation. She explains that this was the catalyst for her stepping away from the corporate world. It was during this time that allowed her to focus on understanding Generative AI more deeply, including completing a program at MIT in 2024 and studying how organizations could apply AI to their ongoing digital transformations. According to Elizabeta, she recognized the gap between the rapid development of AI tools and the market readiness of implementing AI, which is where she saw her opportunity. 

She states, “The starting point should always be the business outcome, to understand the client and how their AI ambition can convert into operational reality and growth.”

EverCognitive was built around that principle. The company operates as an AI transformation firm that works with organizations to assess organizational health, perform AI readiness audits, and build and select AI solutions to map out the client’s business outcomes. Elizabeta explains that this includes executive advisory, organizational assessments, and frameworks designed to implement architecture that operators can execute.

Her approach reflects her experience working within large organizations. She notes that decisions around technology are often shaped by leadership alignment, organizational structure, and operational priorities. From her perspective, this is where many companies require guidance when approaching AI.

“I have spent years working with the companies that are now trying to leverage AI,” Elizabeta explains. “My deep understanding of the digital transformation journeys different vertical markets went through gives me the leverage to be able to accelerate their AI transformation with confidence and tangible business outcomes.”

Today, EverCognitive is engaging with organizations on AI leadership and strategy, focusing on translating technological potential into measurable outcomes. For Elizabeta, the emphasis remains on applying experience to a space that is still developing.

Elizabeta maintains that while AI will continue to evolve, the ability to guide its application will remain essential. Technology will continue to advance, but the way it is applied within organizations will determine its real impact over time. 

She states, “The question is not if but when. And in the age of the AI revolution, those who adopt quickly and wisely won’t just survive; they will win.” 

Bluesky is once again having a wobble. The platform said some of its systems are down and that it’s “investigating an incident with service in one of our reginos” (that’s Bluesky’s typo, not mine). The issue appears to have started at 1:42AM ET and was still persisting as of 11AM when this story was originally published. Since then, the site has been experiencing intermitent interuptions, including at times to its status page where users should be able to monitor outages.

At 7:47PM ET, the platform explained that it’s been attempting to mitigate “a sophisticated Distributed Denial-of-Service (DDoS) attack, which intensified throughout the day.” It said the attack had caused interruptions to users’ feeds, notifications, threads and search, all of which the Engadget team experienced first-hand at various points through the day. While DDoS attacks are frequently used as virtual smokescreens for hacks, Bluesky says it has “not seen any evidence of unauthorized access to private user data.” The social media service had another brief outage earlier this month.

The outage is ongoing, but due to its intermittent nature it’s more of a rolling blackout than a power outage. Bluesky says it will provide another update on the situation by 1PM ET on April 17.

Update, April 16, 8PM ET: This story was updated after publish with an of the outage from Bluesky.

One of the genuine bright spots in my pre-Record Store Day inbox this year was news of a 1LP retrospective spotlighting Brian Wilson’s late-1990s comeback and the transformational musical run that carried him deep into the 2000s.

The good folks at Oglio Records kindly sent me a preview copy of the album titled Brian Wilson On Tour 1999-2007.
The single LP collection offers a tasty overview of Brian’s live work from this period including choice late’60s  Beach Boys nuggets, primo solo cuts and special cover tunes. Given the quality of Brian’s tremendous backing group at that time, there is a remarkable consistency of performance and sound quality on these recordings across the years.  

The album opens with a rousing version of “This Could BeThe Night,” a particularly special tune originally written by Harry Nilsson in tribute to Brian and eventually recorded by Wilson himself on the 1995 Nilsson tribute album For The Love Of Harry: Everybody Sings Nilsson. Do look up the fascinating back story about this song on the wiki.

Brian Wilson On Tour 1999-2007 offers a mini medley of opening songs from Wilson’s legendary 1966/2004 SMiLE album which lead into a terrific version of “Heroes & Villains.” Three fan favorite Beach Boys LP cuts from 1968’s Friends including the title track are also featured. If you saw any of the tours around this time you know that when Brian performed “Marcella” — from the under appreciated 1972 Beach Boys LP Carl & The Passions — he took full ownership of the tune, turning it into a brilliant rocker only hinted at in the original. 

The Beach Boys deep album cut “Drive In” from 1964’s All Summer Long is a special kick to hear performed live, with its decidedly humorous and slyly racy lyrics — apparently this song was one of Brian’s transformational early productions where the band’s sound first came together as he’d envisioned.

Heartstring-tugger “Melt Away” is one of my all-time faves from Wilson’s 1988 solo debut — such an incredible song, performed gorgeously. Brian delivers a genuinely rocking cover of the Chuck Berry classic “Johnny B. Goode” without sounding tired or cliche. The album ends with a curiously upbeat pop arrangement of “She’s Leaving Home” from The Beatles’ Sergeant Pepper.

Sonics-wise, Brian Wilson On Tour 1999–2007 happily sounds really good start to finish despite its likely digital sourcing (hey, these are modern live concert recordings, folks). I was pleasantly surprised that the opaque marble vinyl actually is pretty nice overall — well centered, overall quiet. I did not notice any surface noise issues, which doesn’t always happen with highly patterned color vinyl.  

Fourteen great songs performed live by music legend Brian Wilson at the peak of his late period renaissance seems like an equation for a must-get album for Record Store Day. Only 2000 copies of Brian Wilson On Tour 1999–2007 are being made so get to your favorite vinyl shop early to grab your copy! 

Mark Smotroff is a deep music enthusiast / collector who has also worked in entertainment oriented marketing communications for decades supporting the likes of DTS, Sega and many others. He reviews vinyl for Analog Planet and has written for Audiophile Review, Sound+Vision, Mix, EQ, etc.  You can learn more about him at LinkedIn.

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