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When businesses outgrow spreadsheets and disconnected SaaS tools, the next question is often whether they should buy another application, customize an existing platform, or build a system specifically around their workflows. For many organizations, building custom business software can appear expensive and technically demanding. A development team has to think about authentication, permissions, database models, APIs, user interfaces, background jobs, reporting, audit trails, and deployment. This is where open-source application frameworks can change the equation. Instead of building every foundational capability from scratch, a framework can provide the underlying architecture while developers focus their effort on the business problems that actually differentiate the organization. One example is the Frappe Framework , an open-source web application framework used to build business applications such as ERPNext. But what exactly is Frappe, and why would an organization consider using it for custom enterprise software? What Is Frappe Framework? Frappe is an open-source, Python- and JavaScript-based web application framework designed to make it easier to build database-driven business applications. Rather than being simply a collection of programming utilities, Frappe provides a broader application foundation. It includes capabilities for: Data modeling Authentication Role-based permissions REST APIs Web forms Background jobs Reporting Workflow management Notifications File attachments Activity and audit information User interfaces Database access Application configuration This means a development team can start with an application architecture that already understands many of the requirements common to business software. The important distinction is this: Frappe is a framework for building applications. ERPNext is an application built using that framework. That distinction matters when evaluating Frappe for custom software development. Frappe vs ERPNext Frappe and ERP

Insect-inspired "sparse coding" does fast learning, avoids catastrophic forgetting.

A system has to run a chunk of code you don't control —a plugin, a dependency, something generated— and you want to guarantee that code cannot touch the file system or spawn processes. Not that it "shouldn't": that it can't , mechanically. That's capability confinement, and it's one of the central problems of runtime security. Designing it and demonstrating it are two different things, and confusing them is expensive. A design is a claim You can write an impeccable document: "access to fs and to spawning processes is controlled like this, with these mechanisms, under this threat model". It's real and necessary work. But it's a claim . And the failure mode of a security boundary is that it looks like it holds until it doesn't —silent, invisible in tests, visible only when someone crosses it—. In security, an unverified claim has exactly the shape of a beautiful, wrong architecture. The design can assume that a module-loader hook fires at a point where it actually doesn't, and all the reasoning hanging off that is correct and worth nothing. The mechanisms exist, and there are several In Node, to name a concrete runtime, there are at least three layers, and they aren't interchangeable: The native permission model ( --permission , --allow-fs-read …), which cuts access to fs and to spawning processes at the whole-process level. SES / Hardened JavaScript (Compartments, lockdown() ), which confines what each module can import within the process. Module-loader interception , which controls what resolves when the code asks for something. Choosing well among them is the design. But choosing well doesn't prove the choice holds against the real dependency tree you're going to run. Demonstrate instead of claim The alternative to signing off a design is delivering a confinement harness : untrusted code that tries to reach the dangerous capability —open a file, spawn a process— against the real runtime and its real dependency tree, and a log that shows each attempt was blocked . O

For its new Muse Spark model, intended for operating coding and other agents, Meta is offering an explicit discount averaging out to about 95% for users who "contribute" to the development of future models by sharing their prompts and model outputs.

Originally published at nlocoding.com 92%of IT leaders say legacy systems slow digital transformation (IBM, 2026) Every minute, a bank somewhere spends $1,200 just keeping 1970s code alive. Not replacing it, just making sure it doesn’t explode. A senior developer at Citi told McKinsey in January 2026: “We spend 53% of our engineering budget patching COBOL.” Legacy code isn’t a quirky artifact anymore. It’s a financial anchor chained to your cloud ambitions... Why AI Code Tools for Legacy System Modernization Matter in 2026 AI code tools have redefined how companies approach system upgrades. In 2026, 61% of modernization projects fail due to manual errors or missed dependencies (Gartner, 2026). You can’t afford human error when one typo in ancient assembler code can cost $500,000 in downtime. The rise of generative AI for code refactoring is the only thing standing between you and a multi-million dollar rewrite. AI Code Tools Are Slashing Modernization Timelines by 63% AI code tools for legacy system modernization have cut modernization project timelines by 63% on average (Accenture, 2026). Manual migration can take 18 months—AI-powered tools like IBM watsonx Code Assistant and Google Gemini Advanced do it in under 7 months. This isn’t a hypothetical. Banco do Brasil migrated 2.8 million lines of COBOL to Java in 2025 with Cognizant’s AI tool; downtime: 14 hours. Average cost per line dropped from $3.60 (human) to $1.15 (AI-assisted). 💡 Pro Tip: Start with small pilot modules (1000-5000 lines). Measure defect rates before scaling. AI-Assisted Code Understanding Reduces Failure Rates Code comprehension is the single biggest risk in legacy system modernization. 47% of failures in 2026 were due to “unknown dependencies” (Forrester, 2026). AI code tools now map data flows, detect dead code, and generate architectural diagrams from raw source. Microsoft’s Copilot for Azure can parse 1.5 million lines in two days and flag 96% of “code rot” blocks. One insurance company in

OpenHabitTracker is a free, open source habit tracker that also holds your notes and tasks. It runs on Windows, Linux, macOS, iOS, Android and in a browser, with no ads and no account. Filtering and sorting habits A habit here is not measured by a streak. It is measured by how much of its interval has gone by. A habit you want to do every ten days, two days late, is at 120%. A habit you want to do every four days, also two days late, is at 150%. Because that is a number, you can filter on a range of it: only habits above 50%, only habits below 150%, or only the ones in between. That last one is everything neither freshly done nor badly overdue. You can sort by it as well, and the sort takes the repeat count into account, so a habit done three times a day and one done weekly are compared against each other rather than the daily ones always sitting on top. There are other ways to sort habits by time: how long you want between repeats, how long it has actually been averaging, how long since the last one, and how much time you have spent on it in total or per completion. Notes and tasks sort by the plain things, category, priority and title, and tasks also by their planned date and duration. Each of the three keeps its own sort order. Filtering by date Tasks have a planned date. Tasks and habits have the dates they were completed on. Both are filtered separately, each before, on, after or not on a date you pick. A filter can also take a number of days from today instead of a date. Minus seven to plus seven is the week either side of now, and it still means that in a month, because the days are counted at the moment you look rather than the moment you set it. Showing what was not done The completed-date filter has a switch next to it. Turned on, the range shows what you finished in those days. Turned off, the same range shows what you did not. Searching notes, tasks and habits Searching a note searches the whole note, not just its title. Searching tasks and habits search

Researching, buying, then finally assembling a sound system for your TV is daunting, but it doesn’t have to be. If you want one of the best kits you can get at a rare discount, Best Buy and Amazon are selling the Samsung Q990F Soundbar for $999.99. It normally retails between $1,300 and $1,600. This bundle […]

Service interruptions hit ChatGPT, Claude, Grok, and Gemini practically simultaneously.

OpenAI leaders think the company’s next generation model, which excels at computer use and coding, may mark a major milestone in AI development.

OpenAI claims that Astra represents "a new frontier on computer and browser use," and that it handles tasks with unmatched "speed, accuracy, and safety."

At $85, the hardware only costs a little bit more than the game.

We're back with another DEV Weekend Challenge, a short bite-sized challenge planned to fit into your...

OpenAI's next big model is here: GPT-6 Astra. The company calls it a "generational leap in capability" for areas like cybersecurity, professional work, software engineering, science, and computer use. As OpenAI announced earlier this week, it's also the first model designated as meeting OpenAI's "critical cybersecurity capability threshold" - but the company promises that won't […]

Ultrahuman is targeting a $200 million annual revenue run rate by January 2027 as it builds a new Qualcomm-powered smart ring.

Microsoft says it will let anyone access Xbox Cloud Gaming in November, without the need to subscribe to Xbox Game Pass. The change to a pay-as-you-go model is part of some sweeping changes to Xbox Cloud Gaming today, and is designed for people who don't use cloud access enough to warrant a monthly subscription. "Players […]

Microsoft is announcing some major changes to Xbox Cloud Gaming today, less than a year after opening up cloud gaming to its Xbox Game Pass Premium and Essential tiers. While all Game Pass plans have included unlimited cloud gaming over the past year, from November this will be limited to just 15 hours on Ultimate, […]

The Circular Ring 3 series announcement comes amid a year of heightened competition in the smart ring market, following the launches of the Oura Ring 5 and RingConn Gen 3.

OpenAI recently estimated its Cursor partnership would make more than $1 billion in revenue a year, WIRED has learned. It still walked away after Elon Musk’s SpaceX acquired the AI coding startup.

The latest crystal-covered Razr phone is here.

The family-focused AI assistant wants access to the details of your everyday life, but says it won’t use that data to train AI models or share it with others.