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。

技术面试2026：AI时代的招聘方式变革

Tech Interviews 2026: How AI Is Transforming Hiring Practices

| iDev Research | 2026-07-15T10:00:00

探讨AI时代下技术面试方式的深刻变革，从刷LeetCode到评估AI协作能力。

Exploring the fundamental transformation of tech interviews in the AI era, from LeetCode grinding to evaluating AI collaboration skills.

传统面试的失效当候选人可以用AI助手在10秒内解决LeetCode Hard题目时，算法面试的意义大打折扣。2026年的调研显示，63%的技术面试官认为传统白板编程面试已无法有效评估候选人的真实能力。同时，"面试造火箭，工作拧螺丝"的脱节问题依然严重。新型面试模式领先公司正在采用的新方式：AI协作编程面试——候选人使用AI编程助手完成任务，评估的是他们引导AI、审查AI输出和解决AI局限性的能力。系统设计面试升级——不再考"设计一个Twitter"的标准答案，而是给出真实的业务约束让候选人做权衡决策。Take-home项目+代码审查——给一个小项目带回家完成，面试时进行代码审查和迭代改进。评估维度变化从"能否手写快排"转向：AI工具使用熟练度、系统思维和架构能力、沟通和技术写作能力、代码审查和质量判断力、以及学习新技术的速度。算法和数据结构知识仍然重要，但不再通过白板测试来验证。

Traditional Interviews FailingWhen candidates can solve LeetCode Hard problems in 10 seconds with AI assistants, algorithmic interviews lose their purpose. A 2026 survey shows 63% of technical interviewers believe traditional whiteboard coding interviews can no longer effectively assess candidates' real abilities. The disconnect between "interview rocket science, work screw-turning" remains severe.New Interview FormatsNew approaches from leading companies: AI-collaborative coding interviews — candidates use AI coding assistants to complete tasks, assessing their ability to guide AI, review AI output, and work around AI limitations. Upgraded system design interviews — no more standard "design Twitter" answers, but real business constraints requiring tradeoff decisions. Take-home projects + code review — complete a small project at home, then conduct code review and iterative improvement during the interview.Shifting Evaluation DimensionsFrom "can you handwrite quicksort" to: AI tool proficiency, systems thinking and architecture capability, communication and technical writing, code review and quality judgment, and speed of learning new technologies. Algorithm and data structure knowledge remains important but is no longer verified through whiteboard tests.

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