I'm not technical. Can I work with iDev?

Absolutely. Most of our clients are non-technical. Just tell us what you want the end result to look like — we handle all the technical details.

How much does it cost to hire iDev?

We quote individually based on project scope and complexity. Initial consultation is completely free — we give you a clear quote after understanding your needs. No fit, no charge.

How big is the iDev team?

A few core members, each capable of delivering full-stack independently. We flexibly assign people based on project scale and can run multiple projects simultaneously.

What happens after project delivery?

We provide complete code and documentation at handover. For ongoing feature development or maintenance, we offer monthly or per-project arrangements. Most clients choose long-term collaboration.

What if I'm not satisfied with the project midway?

We confirm with you at every stage before moving forward. If the direction is off, we adjust immediately. If it truly can't continue, completed work is settled normally and all code is yours.

我完全不懂技术，能合作吗？

当然可以。我们的大部分客户都不是技术背景。你只需要告诉我们你想要什么效果，技术实现的事情完全由我们来处理。

费用大概是多少？

根据项目复杂度和功能范围单独报价。初次沟通完全免费，我们会在了解需求后给出明确报价，合适再开始，不合适不收费。

团队有几个人？

核心团队几个人，都是能独立交付的全栈开发者。根据项目规模灵活安排人手，可以同时推进多个项目，不用等排期。

项目做完以后怎么维护？

交付时会提供完整的代码和文档。后续如果需要功能迭代或维护，可以按月或按次合作。大部分客户选择了长期合作。

做到一半不满意怎么办？

每个阶段交付前都会和你确认。如果方向不对，我们及时调整。如果实在无法继续，已完成的部分正常结算，代码归你。

生成式 AI 版权诉讼潮：开发者必须了解的法律风险

Generative AI Copyright Lawsuits: Legal Risks Every Developer Must Understand

| iDev Research | 2026-08-31T08:44:12

2026 年全球涌现大量针对生成式 AI 的版权诉讼，从训练数据使用到生成内容的版权归属，开发者面临前所未有的法律不确定性。本文梳理关键案件和应对策略。

2026 sees a wave of copyright lawsuits targeting generative AI globally, from training data usage to generated content ownership. Developers face unprecedented legal uncertainty. This article reviews key cases and coping strategies.

版权诉讼浪潮席卷 AI 行业2026 年被称为生成式 AI 的'版权审判年'。随着美国、欧盟和日本多起标志性案件进入审判阶段，AI 生成内容的版权法律框架正在快速形成，对开发者和科技公司产生深远影响。关键法律争议训练数据的合理使用（Fair Use）边界在哪里AI 生成的代码、文本和图像是否受版权保护开发者使用 AI 辅助编程工具的侵权责任开源许可证对 AI 训练数据的约束力不同司法管辖区的法律差异和冲突对开发者的影响多个案件的判决可能直接影响 AI 编码助手、AI 图像生成器和大型语言模型的合法使用范围。开发者需要关注：使用 AI 生成代码时的许可证合规性，企业代码库中 AI 生成内容的标注要求，以及不同地区对 AI 生成内容版权的不同规定。企业应对策略领先科技公司正在采取多种措施：建立 AI 内容生成审计机制，购买 AI 使用的版权保障保险，参与行业自律协议的制定，以及开发可追溯训练数据来源的技术方案。开发团队应当建立明确的 AI 工具使用政策，并定期进行合规性审查。法律框架仍在演进中，但开发者不能等待明确的答案再行动。积极了解法律动态、制定风险应对策略是当务之急。

Copyright Lawsuit Wave Sweeps the AI Industry2026 has been called the 'copyright trial year' for generative AI. As landmark cases in the US, EU, and Japan enter trial phases, the copyright legal framework for AI-generated content is rapidly taking shape, with profound implications for developers and tech companies.Key Legal DisputesWhere are the boundaries of fair use for training dataWhether AI-generated code, text, and images are protected by copyrightInfringement liability for developers using AI coding assistantsBinding force of open source licenses on AI training dataLegal differences and conflicts across jurisdictionsImpact on DevelopersRulings in multiple cases may directly affect the legitimate use scope of AI coding assistants, AI image generators, and large language models. Developers need to watch: license compliance when using AI-generated code, labeling requirements for AI-generated content in enterprise codebases, and varying copyright regulations for AI-generated content across regions.Enterprise Coping StrategiesLeading tech companies are taking multiple measures: establishing AI content generation audit mechanisms, purchasing copyright indemnity insurance for AI use, participating in industry self-regulation agreements, and developing technical solutions for traceable training data provenance. Development teams should establish clear AI tool usage policies and conduct regular compliance reviews.The legal framework is still evolving, but developers cannot wait for clear answers before acting. Proactively understanding legal developments and developing risk mitigation strategies is an urgent priority.

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