Haskell 生态系统的技术愿景
A technical vision for the Haskell ecosystem

原始链接: https://discourse.haskell.org/t/a-technical-vision-for-the-haskell-ecosystem/15078

Haskell 基金会的技术领导委员会已投入运作,正在寻求社区和产业参与以资助和执行各项计划。其愿景将 Haskell 定位为适合人类主导、负责任的 AI 辅助开发的理想语言。目标是通过更快的构建与迭代、更好的调试/性能分析以及出色的入门与开发者体验来提升生产力。它强调安全与信任,包括快速事件响应、测试、漏洞沟通、强加密以及供应链加固。它追求长期稳定性,使旧的 Haskell 代码能在更新的 GHC 上编译,提供更好的升级路径与支持。最后,它致力于繁荣的开源生态,支持维护者和志愿者,同时平衡交付产品与社区协作。

Hacker News 上围绕 Haskell 生态系统技术愿景的讨论,核心在于 Haskell 是否能变得更流行,尤其是借助 AI。支持者认为,其严格性、安全性、简洁性和类型系统,使其对 AI 生成代码和正确性具有吸引力。批评者则反驳说,采用率取决于训练数据、开发者体验、编译时间、生态成熟度和实际平台支持。多名评论者表示,Haskell 可以构建桌面、移动和 Web 应用,但与主流生态系统相比,缺乏打磨完善的、连贯的库。工具链碎片化(Cabal、Stack、Nix)和上手门槛仍是痛点。Rust 的增长更多归因于营销、C++ 互操作和商业生态,而非仅靠严格性。LLM 通常在 Python/Go 等训练数据丰富的语言上表现更好,而严格语言尽管提供更强保证,却可能产生冗长证明并降低迭代速度。有些人认为 AI 能通过减少重复劳动和实现精确 API 来帮助 Haskell,但指出智能体生产力取决于快速反馈和良好错误信息。总体而言,该讨论表明,Haskell 的未来更少取决于理论优雅本身,而更多取决于改进可用性、库、工具链,并展示清晰的实用价值。
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原文

Hi all,

the technical leadership committee of the Haskell Foundation has been successfully bootstrapped!

We have spent the last few weeks discussing our vision and strategy and are now fully operational.

We’re going to actively develop initiatives and proposals that we believe need funding and execution. For that we need companies, contractors and volunteers to help. Everyone can participate, whether it’s by dropping ideas informally, writing a concrete proposal themselves or finding entities that could support or fund initiatives.

We tried to keep the community proposal process as light as possible. However, we believe that fairness and participation are vital, especially when funding is involved, so anyone who writes a proposal should be aware that we will open the floor for the community to comment or even deliver counter-proposals. The process may evolve as we make experiences and get feedback.

Below is our vision. Feel free to get in touch with us!


We believe that Haskell is awesome and that it can provide unique value to everyone, because it sits at an interesting intersection between human craftsmanship and machine automation:

  • It is good for humans to write by hand: Type safety, powerful abstractions and referential transparency have enabled engineers all over the world in startups and big tech to deliver and maintain complex systems.
  • It is good for responsible AI workflows: review is a significant bottleneck in modern AI-workflows and Haskell’s strengths heavily favor the reviewer. Additionally, the ability to quickly design eDSLs and express constraints where it matters allows to set up strong guardrails for code generation, without losing flexibility.

There may be better languages for formal verification or for vibecoding, but there’s no better language for “human in the loop”. Haskell is where we maintain control of our work, build institutional knowledge and ship responsibly.

We’re driven to improve Haskell for everyone:

  1. Beginners: the onboarding experience must be our benchmark for usability
  2. Experts: enabling advanced workflows and improving productivity
  3. Industry: focussing on stability and scaling

A vision of productivity

Imagine Haskell had the iteration speed of golang, the debugging capabilities of C# and the onboarding experience of rust. And all that while providing stronger guarantees and better performance!

Iteration speed

Modern workflows require fast iteration times: compilation, interactive repl, remote dependency caching, CI and test integration. All of this affects both human and machine workflows.

While Haskell scales well in terms of code complexity… it doesn’t scale well in terms of build times. As an example, GHC’s own CI has turnaround times of 6 hours. We want to bring them down to 2.

Debugging and profiling

Instead of helplessly dumping logs and binaries into LLM chats, we envision deterministic tools that allow precise and ergonomic enquiries:

  • live step-through debugging
  • actually useful stack traces
  • beautiful performance analysis reports

And all of that in your editor/IDE as well as through powerful CLI and scripting interfaces, the latter enabling power users as well as LLM-driven debugging (natively, without requiring any custom adapters like MCP).

Debugging must be fun again, without littering Debug.Trace.trace all over your codebase.

Documentation and interactive exploration will assist newcomers in understanding all caveats of laziness and GHC and should clearly explain how to leverage these tools.

Onboarding and DevX

In these times of low frustration tolerance, we are going to build the best onboarding experience in the programming language ecosystem, because it is the ultimate benchmark for developer experience as a whole.

  • installation so quick that you’re wondering whether the installer even worked
  • documentation so comprehensive and accessible that you never get stuck
  • tooling so intuitive that you don’t have to constantly ask for support

This can only be done if we commit to unix principles, which we summarize as:

  • write programs that do one thing and do it well
  • write programs that work together
  • write programs that are extensible

Documentation should be a joy to read, written by humans, for humans.

A vision of a secure and trustworthy ecosystem

Security and trust don’t get established by accident. Once trust is lost, it’s often irrecoverably lost.

To protect our community assets and reputation, we need to:

  • have the fastest incident response time among language ecosystems
  • have penetration testers go through our infrastructure regularly
  • make end users aware of vulnerabilities and mitigations
  • build a robust cryptography library stack
  • harden our supply chain

We should further support attempts to utilize or extend the strengths of the Haskell language to boost practical applications of secure design and architecture, such as Information Flow Control or Mandatory Access Control. We’re also monitoring the efforts of dependent types and liquidhaskell.

A vision of stability

What if we could compile Haskell software that’s 10 years old with the latest GHC, without any source code changes?

While this might seem like an impossible goal to achieve… embarking on that journey is going to get us closer to a robust, stable and predictable ecosystem anyway.

The questions we need to answer along the way are:

  • how can users opt out of breaking changes?
  • how long can we keep support windows open?
  • how can we make the upgrade experience better?

Not only requires this investment in GHC and core tooling, but also potentially support community efforts to maintain stable package sets or coordinate ecosystem upgrades, make cabal more ergonomic for complex use cases, spearhead and support stability policies and gather data about what parts of the ecosystem cause churn.

We want Haskell to not only be a choice for fast moving startups, but also for large or conservative companies that do not want their workflows or software stacks disrupted. Stability will benefit both of these types of users, reduce cost and friction and build a reputation for Haskell as a modern language with a predictable ecosystem.

A vision of a flourishing open source ecosystem

All of the above is an attempt to support the Haskell open source ecosystem that we love. We are committed to open source, its values and the social aspect of it. Collaboration is how we engage with and inspire each other.

We want to enable all the maintainers and volunteers who keep this ecosystem alive, many of them unknown, doing their part on a Saturday evening at the other end of the world.

We code because we love to ship products. But we also code, because we want to socialize, meet people and have a good time. We’re committed to both of these values.

联系我们 contact @ memedata.com