Archify Hits 65,000 Stars But Has No Web Version — Here Is What to Use Instead

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Archify is an open-source diagramming engine hosted on GitHub (tt-a1i/archify) under an MIT license, created in April 2026, that converts system descriptions into interactive, self-contained HTML/SVG architecture maps. Rather than a website, it functions as an agent skill and CLI designed to run inside tools like Claude Code or Codex, with hosted sharing explicitly excluded from its scope. The project surpassed 65,000 GitHub stars by September 2026, reflecting rapid adoption among developers who use AI coding agents to describe and visualise systems. A third-party browser port of the same rendering engine is available at mermaidonline.org, allowing users to paste descriptions or supported formats and receive an interactive map without any agent setup. The browser port exports a self-contained HTML file that retains search, route tracing, and lens features entirely offline.

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Backpack Wallet Review: A Multi-Chain Crypto Wallet Built for DeFi and Beyond

Backpack is a self-custodial, cross-chain cryptocurrency wallet developed by CoralXYZ and founded by Solana developer Armani Ferrante in 2022. Originally associated with the Mad Lads NFT collection on Solana, the platform has since expanded into a full-featured ecosystem that includes a crypto exchange, margin and futures trading, lending services, and a regulated securities brokerage operating in over 150 countries. The wallet supports more than 15 blockchain networks — including Ethereum, Solana, Bitcoin, and several non-EVM chains — accessible through a single seed phrase across Android, iOS, and browser extension. As a non-custodial wallet, private keys and recovery phrases are generated and encrypted locally on the user's device, giving users full ownership of their assets. The broader Backpack ecosystem now comprises four core products: the Backpack Wallet, Backpack Exchange, Backpack Securities, and the Mad Lads NFT collection.

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ProgrammingDEV Community ·

Fukurama.com Offers Branching AI Chat Workflow for Frontend Development

A developer has launched Fukurama.com, an AI-powered frontend tool designed to address the limitations of traditional linear AI chat interfaces. The platform allows users to branch off conversations, work through problems in isolation, and reintegrate results into the main workflow. This approach aims to keep complex, iterative development sessions more organized and manageable. The tool supports multiple AI providers, including OpenAI, Anthropic, Gemini, Deepseek, Openrouter, Qwen, and Kimi, and requires users to supply their own API key.

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ProgrammingDEV Community ·

Thin AI Wrapper Cuts Confident Fabrication from 25.8% to 7.4%, but Accuracy Also Drops

Researchers at ShortSingh-covered platform tested five leading AI models on a corpus of documented-failure questions, running each model both bare and wrapped in a lightweight layer combining retrieved evidence with an abstention rule. Across the four models that accepted the treatment, confident wrong answers fell sharply from 25.8% to 7.4%, but overall correctness also declined from 43.9% to 21.3% as the wrapper pushed models to abstain rather than guess. DeepSeek v4 proved an outlier, continuing to affirm fabricated legal cases even when evidence was placed directly in front of it, confirming 12 of 15 non-existent cases as real. Claude Fable 5 refused the honesty wrapper entirely across all 295 test prompts, yet accepted identical instructions when reframed as an agent task with search tools, completing 620 of 620 calls without issue. The team emphasises that the results reflect a specific corpus of known failures under a single-draw setup and are not comparable to official benchmark scores or general model performance.

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ProgrammingDEV Community ·

Freelancer's Scope Creep Lesson: Why Discounts Without Boundaries Cost More

A software developer recounts how a Canadian client negotiated a reduced rate for minor WordPress updates, which gradually expanded into a full site rebuild at the original discounted price. The developer completed the work but ended up losing both time and money due to unchecked scope creep. The core mistake, he explains, was not re-scoping the project each time the client added new requests beyond the original agreement. He now sets written scopes upfront, ties any discount explicitly to a reduced scope, and treats every out-of-scope request as a separate billable item. The experience led him to adopt a firm policy: if a revised price does not work for the client, he walks away rather than accept terms that guarantee an unprofitable engagement.

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