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Vibe Coding Sparked a Love of Reading in My Classroom

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I have had big ideas before. Ideas that felt urgent and important at 11 p.m. and somehow evaporated by morning. So, when the idea for creating an AI-powered reading recommendation system to generate student excitement about our school’s library catalog came to me, I asked my partner what she thought about me giving up evenings and weekends for a year or two. “Just go for it,” she said.

That conversation was in May 2025. By November, my vibe-coded app was live in my classroom.

Why I Started Vibe Coding

I’m a U.K.-trained primary school teacher with 11 years of experience in international schools across the Middle East and Southeast Asia. Over the years, I have seen librarians carefully curate books only to have them sit untouched on library shelves. This is because there was no systematic way to connect each child to the book most likely to excite them.

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Existing solutions were expensive, rigid, and built around proprietary book lists that didn’t match our collection. The more I looked at what was available, the more I realized the problem wasn’t that the technology didn’t exist — it was that nobody had built it for teachers like me, working in schools like mine.

So, I decided to build one myself, using an AI technique that I had read about with increasing interest: vibe coding.

Learning to Build an App

Vibe coding is a practice where people use AI tools to generate software code by describing what they want in plain language to the tool, with little to no traditional programming knowledge required. So, I started vibe coding and telling a large language model what I was trying to build. 

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Progress was painfully slow — a day forward, three days back. Over the summer months I nearly quit several times. The early architecture decisions haunted me: I was working on a 12-year-old Mac I hadn’t upgraded, and just getting the right development environment installed felt like a full-time job. The worst moment came when several files of code were deleted with no backup. Hours of work, gone. I sat staring at the screen for a long time.

One of the most painstaking phases involved book cover images — I wanted to display covers for our library’s 10,000 books using freely available API calls, without scraping the information, to stay on the right side of copyright laws. Writing the code for this was exhausting. When it finally worked imperfectly, I built a separate page to manually evaluate every cover — AI searching for the ones that hadn’t loaded correctly. That process took weeks. Then the page itself failed completely, and I had to start from scratch.

Switching from Copilot to Claude made a significant difference. It was still prone to errors and loops that would, as I put it to colleagues, drive me absolutely crazy. But it was more reliable than what I’d had before. 

What strikes me now is how much has changed — what took me days and weeks in late 2025, I can now accomplish in hours. The rate of improvement in LLMs is frankly frightening.

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How It Works

If you’re interested in building a similar tool, the steps are simple: A teacher uploads their school’s library catalog as a CSV file — no re-cataloging required. The teacher then creates student profiles and runs a short reading assessment to gauge their reading level and interests. The AI analyzes the catalog against each student’s reading level, interests, favorite authors and curriculum topics, and generates a personalized reading list from the books already on the shelves.

Student profiles include name, reading age, reading interests, favorite authors, preferred genres, and current class topic. These profiles power the AI recommendations. Progress data includes books read, reviews written, points earned, and comprehension quiz scores. Student profiles and progress data are only visible to their class teacher and school librarian — not to other students.

When students log in, they see their recommendations — typically 50 books ranked by how well the books match their profile. Students can mark books as “reading,” “finished,” or “want to read.” When they finish a book, they write a teacher-verified review and answer AI-generated reading comprehension questions. Correct answers earn genre-specific points which unlock accessories for their animated worm companion — one accessory category per genre across 21 genres, so reading widely is rewarded, not just reading a lot. Student reviews are fed back into the recommendation engine — so a hidden gem that one child discovers becomes visible to the whole school community over time.

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A LibraryAid Recommendation Worm

A LibraryAid Recommendation Worm

Credit: David Webb

The recommendation engine in the app draws on a “master books” list I built from more than 1,000 award-winning and highly rated children’s titles across various categories. It’s not just matching reading levels — it’s actively surfacing books that most children would never stumble upon independently.

Student Book Recommendations

Student Book Recommendations

Credit: David Webb

Sometimes a recommendation worked because it was an award-winning book the child had never heard of. Sometimes it was simply a genre they hadn’t tried before but which sat under a topic they’d listed as an interest — opening their eyes to a new corner of the library. Other times it was a natural next step: a similar author, a continuation of a series, a book that built on something they’d already loved and rated.

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For data protection, LibraryAid is COPPA and GDPR compliant. Student data is stored securely in Google Firebase. No student email addresses are collected — students log in via a school-issued code and PIN, with no personal email required. Data is never sold or shared with third parties.

Positive Feedback From Colleagues and Family

Early on I told a colleague what I was trying to do. What she said, and the sincerity with which she said it, gave me more confidence than any tutorial or documentation. She said she genuinely believed I could make it work, and that I should not give up. Feedback from other teachers proved equally invaluable. It was frank and occasionally humbling. So far, one colleague has integrated the app into her class and found it very useful.

My 12-year-old son, however, became perhaps my most enthusiastic supporter. He spent considerable time testing the system, told his own school about it and, in what felt like a distinctly contemporary parenting moment, told me he’d asked an LLM whether LibraryAid had a high chance of being successful and it responded with an enthusiastic “yes.”

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What My Students Thought

When my tool went live with my students, something shifted in them. Children who had been unenthused about the library before suddenly became excited to explore it. Finding their recommended book became a treasure hunt. Students began venturing into new series and authors they would never have chosen independently.

One student, an English learner reading approximately two grade levels below his current placement, made 3x the average reading progress of his classmates once he was matched to books that genuinely interested him at the right level. The technology didn’t fix his reading struggles, but it  connected him to books worth the effort of reading.

I also read aloud to my class, ending the school year with “Swimming Against the Storm” by Jess Butterworth, which has a strong environmental theme. The impact of reading that book last year was striking: suddenly the majority of the class was searching the app for adventure stories with a similar feel. That moment reinforced something I believe deeply about the app — it works best alongside human influence, not instead of it. The app surfaces the right books for students, but the teacher or librarian sparks the interest.

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What Vibe Coding Taught Me

Debugging code and diagnosing why a student isn’t understanding a concept require surprisingly similar thinking. For both, you need to be systematic, patient, and hypothesis-driven. Writing algorithms that adapt to different reading patterns made me think more clearly about differentiation. And spending months building something that real children would use every day gave me clarity into why so much edtech misses the mark. At least in my own experience, most education technology is built for administrators, not teachers. It optimizes for reporting and data dashboards rather than the daily reality of 30 children with 30 different relationships with reading. The products that work are the ones built by people who have stood in a classroom and felt the gap between what exists and what’s needed.

Although my tool surfaces an array of enticing books for children, there is no guarantee the recommendations will inspire them to take action. I remember a moment I had with one child this term, who showed me her curated list with a lost expression and eyes that were pleading for guidance. Her list had hidden gems and well-known classics, all with appealing covers — some in her comfort zone and some designed to stretch her thinking. However, the only one that interested her was a familiar series she already knew. The algorithm had done its job. What she needed next was a conversation with a trusted adult.

There isn’t a recommendation engine in the world that can replace the moment a child says, “I’m not sure about any of these,” and looks to their teacher or librarian for a nudge. The trust a child has for the person standing in front of them can’t be coded.

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My advice to any educator considering building their own edtech tool: build something that extends what teachers do rather than replaces what they do. The technology should handle the matching but let the children’s learning guides handle the moment.

LibraryAid has turned out to be the most useful thing I have ever built, perhaps even eclipsing some of my lessons.

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Mythos attack on 3rd-round PQC algorithm candidate puts it out of commission

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Mythos helped to find a new meet-in-the-middle technique that relies on a Möbius Bridge, a more sophisticated fingerprinting algorithm used in meet-in-the-middle attacks. Using it, Green said, the code Mythos produced was able to reduce the number of required inputs to 289. Anthropic said that savings can reduce the time required for such attacks by 200- to 800-fold.

The ability to produce that many inputs makes the attack beyond reach outside of the laboratory. Further, the actual speed-up is unknown, since the weakened AES algorithm tested used only 7 rounds. Specification-compliant AES, Green said, uses 10, 12, or 14 rounds, depending on key size.

Anthropic is careful to explicitly spell out most of these caveats. The Monday blog post goes on to argue, however, that the results are nonetheless meaningful and could ultimately fundamentally disrupt the process of cryptanalysis, or the adversarial testing of cryptosystems.

“The cybersecurity community is now grappling with the fact that language models are able to discover so many bugs that the standard human processes (like vulnerability triage, verification, and remediation) struggle to keep up,” Anthropic wrote. “We predict that the same will soon be true in academic cryptography research. As language models increasingly produce novel research outputs autonomously, human researchers may become bottlenecked on studying and validating these results for technical validity, novelty, and utility.”

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Not mentioned in Anthropic’s report is whether its researchers used Mythos to attack more tested cryptosystems, such as elliptic curve cryptography and RSA. Attack improvements against these systems would be more impressive. By achieving the most impressive result against an algorithm still in its infancy, it’s not clear how much of an advantage Mythos truly provided. There’s no way of knowing if researchers using conventional cryptanalysis techniques were already close to discovering the same attack.

Ultimately, the lesson from the research is simple. AI-assisted cryptanalysis remains untested, and providers of these platforms have a vested interest in exaggerating their benefits. At the same time, there’s growing evidence that LLMs may provide significant advantages in finding cryptographic weaknesses. It would be a mistake to conclude that LLMs won’t one day play an important role in the race between securing and compromising our most vital assets.

The headline and body of this story have been updated to reflect the withdrawing of HAWK.

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Quantum computing company Zuriq to scale tech amid $25.5m raise

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The round builds on the company’s $4.2m pre-seed round in 2025 and will be used to scale and grow the organisation’s quantum ambitions.

Zuriq, a quantum computing company based out of Switzerland, has announced a seed funding round of $25.5m. 

The round was led by Quantonation, with participation from Forward.one, Extantia, Firgun Ventures and additional previous round investors. The company raised a $4.2m pre-seed round in 2025.

Zuriq is a spin-out of ETH Zürich and intends to use the funds to scale its trapped-ion quantum processors and expand its team alongside research and development efforts as it works to significantly increase the number of qubits its architecture can support. 

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According to the organisation, the majority of trapped-ion quantum computers are based on a decades-old design in which ions are held in one-dimensional chains stitched together into larger grids using complex junction structures. 

Zuriq claims to have taken a novel approach with processors that are natively two-dimensional and infrastructure that allows ions to move freely in any direction without the junctions that constrain reconfiguration.

Prof Jonathan Home, a scientific adviser at Zuriq and professor of the Department of Physics at ETH Zürich, said: “What makes this approach powerful is geometry. Hold ions in a line and the count grows one at a time, hold them in two dimensions and it grows with the area of the chip, on a standard chip, that is the difference between tens of ions and many thousands. 

“Just as important, the ions can be moved freely in three dimensions, so they can be connected together far more flexibly, and that connectivity is what ultimately makes a quantum computer more capable. Reaching the scale and connectivity that real applications will need has been the central challenge for the whole field.”

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Zuriq has stated it is now turning its attention to scaling its technology and plans to increase the number of ions on a chip to enable powerful, commercially useful machines. 

Christophe Jurczak, a founding partner at Quantonation, said: “A common misconception is that the quantum race is already decided, but that is far from reality. Zuriq is demonstrating that there remain significant and transformational physics breakthroughs still to be made in quantum architectures. 

“The scientific calibre of the team is world-class, which is why Zuriq has been phenomenally successful in attracting global talent to join them and build 2D-native quantum computers where trapped-ion qubits finally have the freedom to move and connect.”

Also this week (27 July), Multiverse Computing, which is based in San Sebastián, Spain, announced a $570m Series C funding round at a $1.7bn pre-money valuation. 

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The funds are expected to go towards expanding the company’s model library, continuing research and development, investing in sovereign AI infrastructure and building out a regional presence in east and south-east Asia, the Middle East, Canada and the US.

Don’t miss out on the knowledge you need to succeed. Sign up for the Daily Brief, Silicon Republic’s digest of need-to-know sci-tech news.

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Google Play Is Expanding Age Confirmation Tools For App Developers

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The Age Signals API will be available globally before the end of the year.

Google shared some details on how it will ask Android developers to handle age verification requirements. The platform it’s adopting is called the Google Play Age Signals API. The tool is currently being tested in Brazil, and it will arrive in Australia and Canada in mid-August ahead of a global rollout later in the year.

The Age Signals tool allows parents to share their own or their child’s age with devs as a range. This as a more private option than requiring age be shared as a specific number or birthdate while still helping devs meet a growing number of age verification requirements. If an adult shares their child’s age range, all apps using the API will have access to the information and the program will automatically deliver an age-appropriate experience. The parent controls will be available in the Google Family Link app.

“Rather than enforcing one-size-fits-all rules, we give developers the flexibility to choose how they integrate safety signals. With this reliable signal, you retain complete agency to tailor your app’s content, features, and settings to match your audience,” Google’s blog post states. Age verification has become a hot topic over the past year, with several countries and US states passing wide-reaching laws putting more responsibility on platform owners and app developers to make checks.

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It’s not just you – report finds almost 1 in 3 workers scroll their phone in meetings, and that’s only the tip of the bad habits iceberg

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  • 31.7% of surveyed employees admit to scrolling on their phones during meetings
  • Distraction habits are taking over the workplace, with potentially devastating consequences for long-term employment prospects
  • Directors are over 4 times more likely to arrive late for a meeting than an entry-level employee

Scrolling through your phone is now considered preferable to engaging in discussion in meetings, with almost a third (31.7%) of employees admitting to looking at their phone instead of the daily PowerPoint, new research has claimed.

Digital distractions in the workplace are costing employees of all ages opportunities to progress, while Gen Z employees are struggling with time management. The findings of a Careerminds UK survey of 600 UK employees highlight meetings, emails, and notifications delivering distraction from the focused task, with completion or attention to personal tasks while at work by 37.2% of respondents.

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Use Your Head While Trimming Trees

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[Attoparsec] occasionally rides a bicycle for transportation, but with the major downside of doing this in North America, a place where bicycle infrastructure is generally neglected. From snow removal, maintenance, separation from cars, or even existing in the first place, the places bicyclists use are generally last to be cared for. One of these deficiencies is landscaping maintenance, with plant growth routinely extending into travel ways. Rather than continue to get hit in the face by tree branches, [Attoparsec] took matters into his own hands, or in this case, head.

Since he’s riding down the bike path anyway, the original thought was to add a trimmer to the front of the bicycle. This has a notable downside of being dangerous to others, so instead he added a string trimmer to his helmet. The electric trimmer was scavenged from an old handheld landscaping tool, with a 3D printed mount designed in CAD to cleanly mount to his bicycle helmet. It’s wired to a control on the handlebar, so when a branch is coming up it can be activated by hand and then pruned without much thought other than properly aiming one’s head.

By most measures this eccentric contraption seems to work quite well. There’s not enough torque to affect the rider’s head in any negative way, the strings are long enough to reach far enough to trim the leaves and branches before they can impact the rider’s face, and it’s safe for other users of the bike path. [Attoparsec] calls this “guerrilla urban landscaping”, a bit different from other forms of guerrilla gardening we have seen before.

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Telegram literally gives Russia the middle finger after founder Pavel Durov is charged with aiding terrorism

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What just happened? Russia has charged Telegram founder and CEO Pavel Durov with “aiding terrorism” and placed him on an international wanted list. The Federal Security Service (FSB) claims the platform failed to remove channels, chats, and bots used by Ukrainian intelligence to organize attacks inside Russia. Telegram’s response was less than diplomatic: its official X account posted a photo of Durov giving the middle finger.

The charges follow a terrorism-related investigation that became public in February. The FSB alleges that Telegram was used to coordinate sabotage, terrorist attacks, mass killings, and cyberfraud, resulting in deaths and extensive property damage.

A large part of the case centers on Daivinchik/Leo, a popular Telegram dating chatbot in Russia, where Tinder is no longer available. According to the FSB and Russia’s Investigative Committee, Ukrainian agents posed as young women to contact and entrap young Russians before coercing them into committing crimes.

Russian authorities say 46 people aged between 12 and 22 have been arrested over the last year after being recruited through the bot. They are accused of attacking law enforcement officers or setting fire to transport, energy, communications, and financial infrastructure. Ukraine has not commented on the allegations.

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Durov, 41, could face life imprisonment if convicted. The FSB did not explain how it plans to add him to an international wanted list, and it’s unclear whether Moscow will seek an Interpol Red Notice. The billionaire lives in Dubai and holds French and Emirati citizenship. He posted that he was in Georgia last week, but his current location is unknown.

The case arrives amid Russia’s intensifying campaign against foreign internet services. Moscow has effectively throttled Telegram, forcing users to rely on VPNs, yet the Kremlin and Russian defense ministry continue posting on it daily. It was previously reported that the slowdown angered Russian soldiers and pro-war bloggers who depend on the app, while the Kremlin attempts to push citizens toward its state-backed Max service. A subsequent VPN crackdown was blamed for widespread banking outages.

Durov’s legal problems extend beyond Russia. French authorities arrested him in 2024 over allegations that Telegram failed to tackle criminal activity and cooperate with investigators. He denied wrongdoing and was eventually permitted to leave France while the investigation continued. Telegram later changed its terms to allow the disclosure of suspects’ IP addresses and phone numbers in response to valid legal orders.

Durov left Russia in 2014 after coming under government pressure over VKontakte, the social network he also founded. He has characterized Moscow’s actions against Telegram as an attempt to undermine privacy and free speech. The company’s response to the latest charge suggests that position has not changed.

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NYT Strands hints and answers for Thursday, July 30 (game #879)

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Looking for a different day?

A new NYT Strands puzzle appears at midnight each day for your time zone – which means that some people are always playing ‘today’s game’ while others are playing ‘yesterday’s’. If you’re looking for Wednesday’s puzzle instead then click here: NYT Strands hints and answers for Wednesday, July 29 (game #878).

Strands is the NYT’s latest word game after the likes of Wordle, Spelling Bee and Connections – and it’s great fun. It can be difficult, though, so read on for my Strands hints.

Want more word-based fun? Then check out my NYT Connections today and Quordle today pages for hints and answers for those games, and Marc’s Wordle today page for the original viral word game.

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The growing challenge of digital identity is shaping IntegraTRACE’s vision for enterprise visibility

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TL;DR

Every new application, API, and automated workflow adds identities that need oversight, yet most organizations lack a single source of truth for who has access to what. IntegraTRACE, founded by software engineer Steve Emmanuel, provides a SOC 2 Type II compliant identity visibility platform that centralizes human, non-human, and agentic identity data across cloud environments. The company is expanding from North America into Europe and Asia.

Enterprise technology has become significantly more interconnected over the past decade. Cloud platforms, automation, artificial intelligence, and software integrations have allowed organizations to operate with greater speed and flexibility, but they have also made understanding digital access far more complicated.

Every new application, automated workflow, and API introduces more identities with larger scope that require oversight, making visibility increasingly difficult as technology ecosystems continue to expand. A report shows that identity-based attacks accounted for nearly 1 in 3 intrusions observed in 2024, with attackers increasingly relying on valid accounts and stolen credentials as initial access methods.

Steve Emmanuel, CEO and founder of IntegraTRACE, witnessed that shift firsthand throughout more than a decade in software engineering. Beginning as a developer before advancing into technical leadership roles, he found that every step into larger organizations brought greater complexity. Teams expanded, cloud environments grew, and new applications were introduced, yet one challenge consistently remained.

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The biggest misconception is that somebody is keeping track of everything,” Emmanuel says. “Engineering assumes security has the answers. Security assumes engineering has the answers. Everyone believes someone has the complete picture, but very often there isn’t a reliable source of truth.

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Those experiences ultimately inspired the creation of IntegraTRACE, a SOC 2 Type II compliant identity visibility platform designed to help organizations understand how human, non-human, and agentic identities interact across cloud environments and enterprise applications. Rather than focusing solely on authentication or access management, Emmanuel explains that the company’s objective has been to provide organizations with a centralized view of digital identities as enterprise infrastructure becomes increasingly distributed.

From the beginning, Emmanuel wanted the platform to solve practical customer challenges rather than pursue features simply because they were popular. He explains that customer feedback has played a central role in product development, allowing the engineering team to respond quickly as cloud environments and identity ecosystems continue evolving.

According to Emmanuel, one of the most common responses from customers is realizing how much identity information had been dispersed across separate systems. Centralizing that information provides a clearer picture of access across the organization and helps surface potential risks before they become larger security concerns.

Visibility changes the conversation,” Emmanuel says. “When organizations can see every identity and its level of access in one place, they gain insights that were previously difficult to obtain.

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From his perspective, customers frequently identify over-privileged accounts, dormant credentials, and permission structures that would have taken weeks or even months to uncover through manual reviews. Bringing those insights together into a centralized view allows security and engineering teams to spend less time gathering information and more time addressing potential risks.

 

integratrace-digital-identity-enterprise-visibility1

IntegraTrace

He credits much of the company’s early growth to maintaining a close relationship with customers. Rather than following lengthy development roadmaps, the engineering team regularly incorporates customer feedback into the platform, often delivering requested improvements within weeks. Emmanuel believes that approach has helped ensure every product enhancement is tied to a practical business need.

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We’re building something people genuinely need,” he says. “When customers tell us there’s a problem slowing them down, we want to solve it quickly. That feedback continues to shape how the platform evolves.

Looking ahead, Emmanuel says the company’s ambitions extend well beyond cloud infrastructure. Following early adoption across Canada and the United States, IntegraTRACE is preparing for expansion into Europe and Asia while broadening its visibility capabilities into HR systems, financial applications, and other enterprise software where identities continue to multiply.

His long-term vision is to make identity visibility a foundational layer across an organization’s technology ecosystem. As businesses continue adopting AI, automation, and increasingly connected applications, Emmanuel believes understanding digital access will become as important as managing the systems themselves.

The organizations that adapt most successfully won’t necessarily be the ones with the most security tools,” Emmanuel says. “They’ll be the ones that have the clearest understanding of every identity operating across their business and the confidence to act on that knowledge.

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KitchenAid KF3 review: an attractive, fuss-free automatic espresso machine that’s perfect for smaller kitchens

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We spend hours testing every product or service we review, so you can be sure you’re buying the best. Find out more about how we test.

KitchenAid KF3: Two-minute review

The KitchenAid KF3 Fully Automatic Espresso Machine is the middle child of the company’s 2026 release of a trio of compact bean-to-cup coffee machines, sitting below the KitchenAid KF4 and above the KF2. Because of its slim build, it’s a great option for smaller kitchens, but it can easily service a larger household thanks to four customizable user profiles and a solid selection of over 15 coffee-based drink recipes.

It benefits from KitchenAid’s IntelliGrind system — also featuring on the company’s larger machines like the KF8 and KF6 — that automatically determines the best grind size depending on the beans you pour into the top-mounted hopper. During my testing, I found it consistently delivered a well-extracted and tasty espresso.

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The Neo Geo AES is coming back, right down to real cartridge support

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Retro-Suckers: Back in the 1990s, Neo Geo was one of the most popular arcade platforms thanks to its unmatched computing power and graphics prowess. SNK tried to bring the system into the home with the Neo Geo AES console, which used its own cartridges that were physically incompatible with arcade MVS cartridges. The attempt ultimately failed, but the Neo Geo AES is now making a comeback among gamers seeking an “authentic” hardware experience without relying on emulation.

Plaion and SNK announced the revival of the Neo Geo AES platform earlier this year. The “premium” retro-gaming console is now available for pre-order, with multiple variants, accessories, and even an “extra-luxury” edition packed with controllers, cables, and game cartridges.

The Neo Geo AES+ is part of Plaion’s “Replai” offering, which sells several modern iterations of classic platforms such as the Intellivision, Atari 2600, and the Amiga. Plaion describes the Neo Geo AES+ as a faithful reimplementation of the original Japanese machine, using legacy ASIC-based solutions that don’t require any kind of emulation.

Custom ASIC chips replicate the original machine’s software and hardware functionality, which allegedly includes full compatibility with original AES cartridges.

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Arcade authenticity aside, the Neo Geo AES+ also includes a few modern niceties to ease the pain of using classic consoles with modern setups. The machine provides a low-latency HDMI output, overclocking, and high-score storage on a separate memory card. I can safely say that overclocking is a rather crucial upgrade, as Metal Slug and other Neo Geo games are infamous for turning into annoying slideshows when too many sprites are shown on screen.

Neo Geo AES+ is coming out on November 12, 2026, with plenty of different pre-order options. The original edition costs €200 and includes a console, an arcade stick, and an HDMI cable. There is also an all-white Anniversary Edition, which costs €300 and comes with an additional wireless arcade stick, a white Metal Slug cartridge, a memory card, and more.

Sitting at the other end of the spectrum, the Neo Geo AES+ Ultimate Edition packs several additional controllers, 10 fan-favorite Neo Geo games, and plenty of dongles and cables. This particular version has a €900 price tag, which is still not enough to impress retro enthusiasts who remember how much the original console cost back in the 90s.

The Neo Geo platform played an important role in video game history, blowing away the hardware competition and giving rise to long-running series such as Metal Slug, The King of Fighters, and more. Neo Geo emulation has long been a “solved” problem on PCs and mobile devices, thanks to MAME and other actively developed projects.

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The Neo Geo AES+ is the latest in a long list of modern devices designed to replicate both the games and hardware features of the original console. It might very well be the most effective one yet, although I don’t plan on spending €80 on one of the individual AES cartridges that Plaion is going to launch alongside the console.

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