NEXUS AI App Builder Offers Agentic Full-Stack Loop Beyond One-Shot Code Generation

·1 views

NEXUS AI has launched an AI App Builder designed to go beyond standard prompt-to-code tools by functioning as an agentic workspace that continuously edits, runs, and revises real project files. The system works with actual Next.js and Prisma projects inside an isolated development sandbox, automatically catching and fixing errors rather than handing responsibility back to the user. It offers two preview modes — an instant client-side preview for UI iteration and a live full-stack sandbox for verifying routes, forms, and database behavior. Users can attach design references or describe changes in natural language, and projects can be shared, remixed, or handed off to other coding agents via an MCP interface. The Builder is positioned as a complete development loop within a single workspace, from initial draft through to a deployable production application.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Developer Debugs E-Commerce Site Bug That AI Repeatedly Failed to Solve

A developer building a custom handcrafted-goods e-commerce platform encountered persistent styling and layout issues after routing the site through Cloudflare. The site appeared fully functional in local development but broke when accessed via a Cloudflare tunnel, with featured product cards and CSS styles failing to load correctly. AI tools initially pointed to Cloudflare's caching behavior — which was overriding the server's Cache-Control headers and serving stale assets for up to four hours — but clearing caches and following AI suggestions did not resolve the problem. Further investigation revealed Cloudflare was also modifying HTML through its Email Obfuscation feature, complicating diagnosis. Despite multiple AI-assisted attempts, the root cause required hands-on manual debugging rather than AI-generated fixes.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Developer Uses Sentry to Diagnose and Fix 4-Second Page Load on Personal Site

A developer connected their personal website to Sentry's performance monitoring tool and discovered a 4,229ms page load time, with the server taking over two seconds just to begin sending a response. The primary bottleneck was a backend call to the DEV.to articles API, which averaged 361ms but spiked to 1.37 seconds at the 95th percentile. Using Sentry's AI assistant Seer, the developer identified that fetching and caching the DEV.to API response server-side, rather than on every client request, would remove the call from the critical page load path. An nginx caching strategy using proxy_cache_background_update was implemented, ensuring returning visitors receive a cached response while the cache refreshes silently in the background. Performance data from the following week showed approximately a 60% improvement in median load time, dropping from 3.3 seconds on August 4 to 1.3 seconds on August 5.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Developer Builds 15 Logic Gates from Scratch Using Only NAND in Nand2Tetris

A developer has shared progress on the Nand2Tetris course, successfully implementing 15 logic gates — including NOT, AND, OR, XOR, MUX, and DMUX variants — using only NAND gates and Hardware Description Language (HDL). The approach involved deriving boolean expressions from truth tables using Sum of Products, then simplifying them via De Morgan's law and double negation to express everything in terms of NAND. A key insight was that NAND(a, a) is equivalent to NOT(a), which made building subsequent gates feel intuitive and sequential. More complex gates like MUX4WAY16 and DMUX4WAY proved challenging due to unfamiliarity, but were completed by composing already-built simpler gates. The developer now plans to tackle the next chapter, which covers arithmetic components including a Half Adder, Full Adder, and ALU.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Developer Ports Python Library to Rust: 1,059 Tests Pass but Unicode Bug Lurks

A developer participating in a hackathon ported Scrapinghub's price-parser Python library to Rust, successfully passing all 1,059 unmodified tests from the original test suite. Despite the clean test results, the port contained a subtle bug: Python's Decimal type accepts any Unicode decimal digit, while Rust's equivalent only handles ASCII, causing prices written in Arabic-Indic, Devanagari, or Bengali numerals to silently return no value. The flaw was not caught by the existing test suite because the upstream corpus was drawn entirely from Western storefronts, meaning non-ASCII digit inputs were never tested. The bug was ultimately discovered by running 500,000 randomly generated price strings through both implementations simultaneously and comparing outputs. The case highlights a fundamental limitation of test suites: they can only cover inputs that someone has already thought to include.

0 comments Read more at DEV Community