AI coding agents

11 atoms · 跨 7 天 · 首见 2026-05-08 · 最近 2026-06-24

三色: 🟦 fact 0 · 🟥 take 11 · stance ▲3/▼4/◆2

来源: X 11

时态: fresh:10 · aging:1

标签: 好观点:10 · 好思考:3

叙事 (narrative) (9)

• 2026-06-24 · 成本可能超过开发者
  AI coding agents could soon cost more than the developers using them
  tags: 好观点·好思考 · → daily
• 2026-06-18 · 威胁Snowflake护城河
  Coding agents are industrializing that craft at a scale that breaks the moat around purpose-built platforms like Snowflake.
  tags: 好观点·好思考 · → daily
  value: direction=打破
• 2026-06-20 · 对编程工作分配的影响
  founders and best engineers are doing all the work themselves ... I've found it almost impossible to delegate technical work since the coding agents emerged
  tags: 好观点 · → daily
• 2026-06-20 · 无法替代的需求
  What you still need people for: ideas and sounding board ... people with taste and marketing knowhow ... specialists
  tags: 好观点 · → daily
• 2026-06-20 · 自主软件工程代理成熟度
  fully autonomous software engineering agents ... we aren't there yet
  tags: 好观点 · → daily
• 2026-06-20 · 产品受众获取难度
  most even decent products fail to get an audience
  tags: 好观点 · → daily
• 2026-06-16 · performance vs human coders in long-horizon marathon
  We compared modern agents to top human contestants in an open-ended coding marathon. Agents sprinted early. Then they plateaued. Top humans kept improving.
  tags: 好观点 · → daily
• 2026-06-05 · 优势:训练数据丰富、用户技术强、结果可验证、上下文已数字化
  The AI models are trained on an incredible amount of sophisticated code. The users are highly technical and can use the latest tools quickly. The work is “verifiable” because you can test an app. The outcomes are often removed from the quality of the code (you can have sloppy code but the app can still work). And the context for the agent is often already digitized and sitting in the codebase.
  tags: 好观点 · → daily
• 2026-05-08 [老化中] · print-debug 循环在每次迭代是 LLM 调用时非常低效
  the print-debug loop is brutal when each iteration is an LLM call.
  tags: 好观点 · → daily

反驳 (refute) (1)

• 2026-06-17 · extrapolation of performance curve
  I don't think you can just extrapolate the agents like this on a logx scale. If you were to cut off the human curve at 24h and extrapolate the same way, it would look a lot more flat.
  tags: 好思考 · → daily

预测 (forecast) (1)

• 2026-05-08 · 调试工具让代理能理解代码为何失败
  Agents that can set breakpoints and step through execution are not just faster developers. They are the first software that can actually understand why code fails.
  tags: 好观点 · → daily

时间轴 (近 20)

• 2026-06-24 · narrative · 成本可能超过开发者 · → daily
• 2026-06-20 · narrative · 对编程工作分配的影响 · → daily
• 2026-06-20 · narrative · 无法替代的需求 · → daily
• 2026-06-20 · narrative · 自主软件工程代理成熟度 · → daily
• 2026-06-20 · narrative · 产品受众获取难度 · → daily
• 2026-06-18 · narrative · 威胁Snowflake护城河 · → daily
• 2026-06-17 · refute · extrapolation of performance curve · → daily
• 2026-06-16 · narrative · performance vs human coders in long-horizon marathon · → daily
• 2026-06-05 · narrative · 优势:训练数据丰富、用户技术强、结果可验证、上下文已数字化 · → daily
• 2026-05-08 · forecast · 调试工具让代理能理解代码为何失败 · → daily
• 2026-05-08 · narrative · print-debug 循环在每次迭代是 LLM 调用时非常低效 · → daily

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