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Browser-use for Node.js v0.2.0: TS AI browser automation parity with PY v0.5.11

https://github.com/webllm/browser-use
1•unadlib•37s ago•0 comments

Michael Pollan Says Humanity Is About to Undergo a Revolutionary Change

https://www.nytimes.com/2026/02/07/magazine/michael-pollan-interview.html
1•mitchbob•43s ago•1 comments

Software Engineering Is Back

https://blog.alaindichiappari.dev/p/software-engineering-is-back
1•alainrk•1m ago•0 comments

Storyship: Turn Screen Recordings into Professional Demos

https://storyship.app/
1•JohnsonZou6523•2m ago•0 comments

Reputation Scores for GitHub Accounts

https://shkspr.mobi/blog/2026/02/reputation-scores-for-github-accounts/
1•edent•5m ago•0 comments

A BSOD for All Seasons – Send Bad News via a Kernel Panic

https://bsod-fas.pages.dev/
1•keepamovin•8m ago•0 comments

Show HN: I got tired of copy-pasting between Claude windows, so I built Orcha

https://orcha.nl
1•buildingwdavid•8m ago•0 comments

Omarchy First Impressions

https://brianlovin.com/writing/omarchy-first-impressions-CEEstJk
1•tosh•14m ago•0 comments

Reinforcement Learning from Human Feedback

https://arxiv.org/abs/2504.12501
2•onurkanbkrc•15m ago•0 comments

Show HN: Versor – The "Unbending" Paradigm for Geometric Deep Learning

https://github.com/Concode0/Versor
1•concode0•15m ago•1 comments

Show HN: HypothesisHub – An open API where AI agents collaborate on medical res

https://medresearch-ai.org/hypotheses-hub/
1•panossk•18m ago•0 comments

Big Tech vs. OpenClaw

https://www.jakequist.com/thoughts/big-tech-vs-openclaw/
1•headalgorithm•21m ago•0 comments

Anofox Forecast

https://anofox.com/docs/forecast/
1•marklit•21m ago•0 comments

Ask HN: How do you figure out where data lives across 100 microservices?

1•doodledood•21m ago•0 comments

Motus: A Unified Latent Action World Model

https://arxiv.org/abs/2512.13030
1•mnming•21m ago•0 comments

Rotten Tomatoes Desperately Claims 'Impossible' Rating for 'Melania' Is Real

https://www.thedailybeast.com/obsessed/rotten-tomatoes-desperately-claims-impossible-rating-for-m...
3•juujian•23m ago•2 comments

The protein denitrosylase SCoR2 regulates lipogenesis and fat storage [pdf]

https://www.science.org/doi/10.1126/scisignal.adv0660
1•thunderbong•25m ago•0 comments

Los Alamos Primer

https://blog.szczepan.org/blog/los-alamos-primer/
1•alkyon•27m ago•0 comments

NewASM Virtual Machine

https://github.com/bracesoftware/newasm
2•DEntisT_•29m ago•0 comments

Terminal-Bench 2.0 Leaderboard

https://www.tbench.ai/leaderboard/terminal-bench/2.0
2•tosh•30m ago•0 comments

I vibe coded a BBS bank with a real working ledger

https://mini-ledger.exe.xyz/
1•simonvc•30m ago•1 comments

The Path to Mojo 1.0

https://www.modular.com/blog/the-path-to-mojo-1-0
1•tosh•33m ago•0 comments

Show HN: I'm 75, building an OSS Virtual Protest Protocol for digital activism

https://github.com/voice-of-japan/Virtual-Protest-Protocol/blob/main/README.md
5•sakanakana00•36m ago•1 comments

Show HN: I built Divvy to split restaurant bills from a photo

https://divvyai.app/
3•pieterdy•39m ago•0 comments

Hot Reloading in Rust? Subsecond and Dioxus to the Rescue

https://codethoughts.io/posts/2026-02-07-rust-hot-reloading/
3•Tehnix•39m ago•1 comments

Skim – vibe review your PRs

https://github.com/Haizzz/skim
2•haizzz•41m ago•1 comments

Show HN: Open-source AI assistant for interview reasoning

https://github.com/evinjohnn/natively-cluely-ai-assistant
4•Nive11•41m ago•6 comments

Tech Edge: A Living Playbook for America's Technology Long Game

https://csis-website-prod.s3.amazonaws.com/s3fs-public/2026-01/260120_EST_Tech_Edge_0.pdf?Version...
2•hunglee2•45m ago•0 comments

Golden Cross vs. Death Cross: Crypto Trading Guide

https://chartscout.io/golden-cross-vs-death-cross-crypto-trading-guide
3•chartscout•47m ago•1 comments

Hoot: Scheme on WebAssembly

https://www.spritely.institute/hoot/
3•AlexeyBrin•50m ago•0 comments
Open in hackernews

Bit Cloud Launches Hope AI, Enabling Developers to Build Complex Applications

https://bit.cloud/
2•jonnysas36•8mo ago

Comments

jonnysas36•8mo ago
New AI-powered development agent enables developers and organizations to build complex platforms in hours instead of years — with composable architecture, maintainability, and enterprise-grade standards. Bit Cloud (bit.cloud)) today announced the general availability of Hope AI, its new AI-powered development agent that enables professional developers and organizations to build, share, deploy, and maintain complex applications using natural language prompts, specifications and design files. After a successful trial period in production environments across several organizations, Hope AI is now accessible to all users, including a free tier for those interested in exploring its capabilities. Hope AI takes AI-driven development further, beyond basic websites or application prototypes. It designs complete system architectures, assembles reusable software components, and generates scalable, production-ready applications — from CRM systems to e-commerce platforms to healthcare surgery room management systems — dramatically reducing both time to market and maintenance costs. “While today's AI can generate code, the leap to architecting robust, enterprise-grade software that truly meets the nuanced needs of professional developers is fraught with complexity,” said Ran Mizrahi, Founder and CEO of Bit Cloud. “Hope AI functions as an intelligent software architect, leveraging existing, proven components to compose professional and practical software solutions, enabling consistency and simplifying long-term maintainability. Our platform transforms the development experience to be more like building with Lego than writing long lines of code”. Enterprise-Grade Development, Built for Scale Hope AI builds on Bit’s composable software platform, used by more than 500 organizations worldwide including AT&T, Moody’s, Experian, Red Bull and Hallmark Studios. This broad adoption highlights the platform’s maturity and ability to scale, making it a trusted foundation for enterprise-grade AI-generated software. Bit’s solution turns components into reusable digital assets, so teams don’t need to rebuild functionality from scratch every time. Instead of generating dozens of new components for each new feature or product, teams can build faster by combining existing, enterprise-tested modules. Key innovations of Hope AI include: Natural Language to Professional Code: Developers describe their goals in plain language. Hope AI designs the architecture, assembles components, and generates professional code — complete with full documentation and test coverage.

Composable Solutions: Hope AI can transform product mockups, specifications, or even reference images directly into complete composable solutions, from backend systems to UI components. Ready to be used in existing or new applications.

Team Collaboration: New components and applications meet professional standards for security, scalability, testability, and team review across both technical and non-technical roles.

DevOps Integration: Hope AI integrates natively with GitHub, GitLab, Azure DevOps, and JFrog, providing end-to-end visibility, automation, and quality control. Hope AI supports modern technology stacks including React, Node.js, TypeScript, MongoDB, and GraphQL. Furthermore, Hope AI aims to seamlessly integrate these components into the developer's workflow. Through the Model Context Protocol (MCP - an open standard for interaction between AI models and development tools), Hope AI enhances the utility of coding assistants like Cursor and GitHub Copilot.