Recent efforts

Here are our recent efforts, you are welcome to be part of this open process towards future learning, which we think should be self-learning for everyone! In a way, the current discussions there help summarize what we have learned in Open Source Learning. And we believe it will soon turn into concrete implementation, which will be open source as well.

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Why people don’t work hard with good social welfare

People often say that countries with good social welfare lose the drive for economy because people don’t have incentive to work hard anymore. The inherent assumption is people are naturally lazy so they don’t work if they don’t have to.

However, I always think good social welfare is probably not the cause. The cause might be the outdated education system. Because if you look at the kids, they work their asses off trying to be good at something although they are in very good social welfare–their parents take care of them. However, the education system, which is designed for the industrial age to serve mass production, take children’s curiosity away, together with their ability to learn. You need that for mass production because you need a lot of people to work on the assembly line to be part of the machine.

But times have already changed. We are already deep in an information age. And a lot of developed countries already have the luxury to provide good social welfare for its people. But their education system are still locked in the industrial age. They need a new kind of education, which lifts the scaffold that the current education system puts on people.

The current education system is like ancient Chinese footbinding bandages. It should be thrown away a long time ago. Let children learn and grow themselves. Keep their curiosity alive. Keep learning continuously. So I am sure they will continue to work hard even in a high social welfare country. Just like they have played so hard when in childhood.

I kind of think the great innovation in software in north European countries have a lot to do with the fact that people there enjoy lives better and have less pressure to make a living.

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New Generation of Textbooks

Recently I wanted to review the “knowledge” I have “learned” at schools. There is a lot of that kind of “knowledge” that was “learned” but never practiced. I am thinking that I need to review my old textbooks and notes. However, I don’t have them with me now. So I think I probably can just look them up online. They might be scattered here and there online. But I think that should be fine for me. I don’t have to learn them all at once. Also I only hope to gain a better overall understanding of what kind of things I have learned in the past. I have no intention to go very deep into any field without any hands-on project to practice with. So learning can be fragmented and layered. Fragmented is ok as long as you can achieve a layered understanding in a period of time.

And I feel the materials and my understanding gained along the process might just be a good collection of learning materials for others. So everyone can review their past “dormant” knowledge from time to time instead of having them locked in deep memory. Also this way can also be used to write new kind of textbook online. Nowadays the textbook has been extremely outdated with latest industry knowledge. For example, in the software field, the knowledge is updated so quickly that it is very hard for traditional textbooks to keep up. We need digitized knowledge and digitized process of knowledge production.

If we are able to digitize the kind of “knowledge model” that everyone is continuously constructing in their minds and testing against others’, the best quality of those models might be used as “textbooks”, and I can see this field in more fluidity and not as divided as it is now. For example, industry professionals can be knowledge producers as well, instead of waiting for those specialized professors to translate knowledge into textbook with very long production cycle.

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From Agile to Life Centers (Draft)

Dijkstra said in the 70s that the irreversible damage is done once we have named this subject “Computer Science”.

“…the topic became —primarily in the USA— prematurely known as “computer science” —which,actually is like referring to surgery as “knife science”— and it was firmly implanted in people’s minds that computing science is about machines and their peripheral equipment, which is not true””–from Wikipedia.

Now we see the damage.

Those of us who work in the software industry know that there is a huge divide between tech and product people.

There is a general distrust of engineers:
1. engineers cannot manage, not even manage themselves. So they need to be managed
2. engineers don’t care about products and don’t know about design

Both of these are not true. My experiences told me otherwise. Engineers dislike management, mostly because management doesn’t understand software and so the management is a lot of obstacles to software engineers. Since software engineers don’t see the hope of changing the situation, they would rather stay in their corner and be happy to just focus on engineering. I know this is true for a lot of software engineers.

As for caring about product, software engineers care about product and design greatly if you give them the chance. When I was working as CTO for a company, I had a design session that goes along with weekly meetings. The software team members take turns to share with others what they see as a good design or a bad design in their daily lives, and why it is good or bad. So engineers discussed toilet, road/subway signs, light switches, power sockets, organization structure, and so on. I take the opportunity to introduce to them various related design topics when we are discussing design of one thing. And engineers get very excited about design of various things, including organization management, social policies, and so on. Who said they don’t care about product? Who said they don’t know about design?

The engineers in the above example is from a conventional company that is going online. They have shown disinterest in company product and management, and are believed by the company management as cannot be trusted on responsibilities (sounds familiar?). They didn’t care because the management didn’t want them to care and didn’t give them the time to care. For a change, I let engineers take Friday afternoon off to just focus on product. I don’t assign any engineering tasks to them for that half day. And they just use the time to play with company product. And with inner source environment I built up, engineers can initiate projects that they deem important for company product. And we have important projects sprung up because of that. For example, an IM product/software for our eCommerce platform.

If you give them the chance, they will care, because that is what software programming is about.

These two assumptions are not true probably for all engineers. But particularly, it is not true for software engineers at all because of the uniqueness of software.

However, for the general public, people assume the above two misconceptions about software engineers, due to the misnaming of this subject—Computer Science, and more in depth due to the fact that software is complex and invisible. (You can only see it if you do hands-on practices. Very much like society or sociology is invisible, and you have to “see” it with your hands-on practices.)

“We have everything ready, we just need a programmer!” is the typical expression that reflects the common mass’ perception of software engineers.

When there is a divide, usually it is because it is difficult to possess both qualities. Since we called this subject “Computer Science”, it is believed to be a purely engineering major. So then there should be people who study liberal arts majors to manage these software engineers, because typically we believe engineers are narrow minded, not able to communicate well, and don’t care about management and product. And we know our schools taught these two groups of people like they are totally different, and there are generally no much coverage of liberal arts for engineering students.

Thus we have product people and engineering people in every company. And very often they fight each other. Surely a lot of decisions have to be made on the whole since product is one whole piece and is not separated by product vs engineering. So very often we see the boss or one of the founders sit on top to make the important decisions, even though s/he is not capable of making those decisions. It is assumed that it is easy to understand what is in software. And there is no understanding that great skills and years of experiences are needed to plan product and software together and it is very strategical for a company whether it can plan the software/product well.

“Dijkstra was the first to make the claim that programming is so inherently complex that, in order to manage it successfully, programmers need to harness every trick and abstraction possible. ”–from Wikipedia.

Complexity of software demands ability in both liberal arts and engineering. Society is complex and invisible, thus you need to do a lot of hands-on social practice and do very extensive reading to help you “see” things and understand human society. Similarly, as software is essentially a digitization and innovation of human society, it is also complex and invisible. You needs hands-on practices, e.g. coding to “see” things and understand it. Since it is about digitization and innovation of human society, you also needs a very strong liberal arts background. Not the kind of liberal arts education you get from college, but more street-smart liberal arts capacities achieved only by a lot of social practice and a lot of extensive reading. For a small example, knowing of the human history helps you innovate better.

So maybe now it is easy to understand why such a divide between product people and engineering people. We can say that is because product people are not really product people, they don’t possess the true liberal arts capacities, and cannot think logically. They are just chatty. And our engineers are not true engineers because they focus so narrowly only on the engineering aspect of the software programming, and cannot grasp the vast realities and possibilities outside of engineering domain. Or we can say we just need people who educated themselves in liberal arts and have a lot of hands-on experiences with coding. Since software programming is so big and encompassing so many things, it is challenging for an individual to learn all these things and be good at all of them. But it is reasonable to expect a general good grasp of both and be a little leaned towards one side or the other from time to time, with the ultimate goal of achieving the level of greatness in both regards.

And that is possible. We have seen great examples of people who have achieved that greatness, and we believe it is a path that everyone can try.

I believe Jeff Bezos, Larry Page, Steve Jobs, Bill Gates, Mark Zuckerberg, Linus Torvalds, Guido Van Rossum (for Chinese ones: Huateng Ma, Xiaolong Zhang, Lei Ding, Bo Yang from Douban…) are these good examples. And we also see many other smart creatives as touted by Eric Schmidt’s book “How google works”. I believe all great software companies understand this and know how to build up organization accordingly to tap into potentials of software engineers, such as google, amazon. And those who don’t, disappear after a while even if they can have a short period of success.

We have to bridge the divide. Without bridging the divide, there is no real solution for the industry. We have to point out a path and show the examples.

Without detailed elaboration, just let me briefly outline my understanding of this path:

  • emphasize caring of product, emphasize responsibility for full life cycle of the software like amazon has practiced (Douban as an example as well). Give developers dedicated time to care about company products. Give them rights to initiate products on their own (like Douban has practiced, and inner source environment can legitimize, empower and reward such behaviors.);
  • emphasize on programming as the core. Like the core curricular in college, programming should be the core skills you have to learn no matter you are developers, QAs, devops, product managers, and so on. In the words of facebook director of engineers, if you are doing any software related job, your best way to prepare yourself for that job is to learn how to program. Build up an inner source environment with rich projects of various scales and difficult levels that people can pick best projects that suit their current capabilities. People including non-engineers can be free to contribute to any inner source projects and learn various programming skills. Remove the artificial barrier that blocks communication between developers, QAs, devops and product managers;
  • emphasize on design skills training. Such as the design sessions that I practiced in my previous companies. Such design skills are inherently connected to architecture and management skills. In a sense, it is a more advanced level of coding;
  • give people ownership in those independent projects of various scales. That is how people learn of programming, design and management. They need to feel the whole and develop the sense of it. The wholeness is essential to programming and here I use the word programming as something that is very broad.

So we do have a path that can connect liberal arts with science/engineering and making them mutually benefiting each other. You don’t have to struggle between whether you should go product direction or engineering direction. You just try to be good at both, and make the two Ying and Yang of one whole body. They are parts of the whole thing of digitizing the world and making the world a better place with great and kind innovations, thus truly making software programming the greatest ever invention of human history, an invention that empowers us to break the long time barriers to equality and happiness of mankind.

One great person who has been trying hard to bridge liberal arts and science is Christopher Alexander, whose design pattern theories in the 60s, 70s have greatly influenced software community, and directly brought up the design pattern, OOP, extreme programming, and agile programming movements. However, during a speech of Christopher Alexander, when asked to comment on his influence on software community, he said that in his observation, software community has only scratched the surface of his theory, quote “Software Programming’s use of patterns have so far just been a neat format that is a good way of exchanging ideas about programming, but lack in the two other dimensions: MORAL CAPACITY in producing a living structure and the GENERATIVITY OF THE THING and that is capability in producing a coherent whole.” (http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=795104) His latest theoretic framework, as summarized in Nature of Order, has used concepts like life centers and degree of life to push his works to a whole new level. However, software community has barely touched on these and probably have no idea how to tap into it.

So by bridging the gap between product and engineering, and realizing the true nature of software programming, I hope not only that we can resolve the great divide in our software industry and help the industry grow more healthy (as we see software nowadays is really expanding to all corners of human society, literally “eating the world” according to Mark Anderson), we can also to bring up a new (real) kind of software engineering that seamlessly bridge liberal arts and science/engineering, tap into the great potential of Alexander’s great theoretic framework that bridge the gap between subjectivity and objectivity, and make complete the modern science.

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Software is Unique

Software is the bridge btw the human world and the physical world. It is the bridge between human science and physical science. It is about giving ideas concrete forms. It is about digitization of life. It is about creating life.

  • Software is broad. You have a large variety of lives, so you have a large variety of software. Life manifests itself in different forms in various software. How many species of plants and animals you have on this planet?
  • Software is deep knowledge about human world. Since software is digitization of various life forms, if you understand software, you understand better of life.
  • Software takes many years of continuous hands-on learning.
  • Software is complex, just like life can be very complex. So we try very hard to make it as simple as possible, but not simpler. Software is about taming complexity.
  • There is no software architect who doesn’t do intensive programming anymore. Maybe it is ok in other disciplines to have architects who don’t do hands-on work anymore, but not in software.
  • Software planning is strategic. Like a soccer team needs a coach to plan things strategically and build up the team, so is a software team. If you have a software architect in the company possessing those comprehensive skills, cherish her/him, let her/him make the decisions and be responsible for them.

If this list is too short, I hope people can keep it in their minds to contemplate on constantly when working with software, and I hope this list is enough to turn around people’s common misconceptions about software.

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Software Management

I am trying to summarize a short list of what I deem the most important for software management.

  • Management is about the right people making decisions. It is about forming the trust and delegate chains.
  • Emphasis on programming skills. Everyone should try to learn programming.
  • Break the boundary. People should not be separated way too early into testing people, system admins, developers. They should try to learn the comprehensive programming skills, which include how to do testing and how to run servers and do deployment. Testing people and system admins are encouraged to learn programming.
  • Programmers’ time is the most precious.
  • Empower programmers instead of putting various kinds of restriction on them. Give them the best tools. Let them fly!
  • Programming takes a lot of learning. Understand this! Value employees’ learning! Build up a rich learning environment! Have architects who can mentor people.
  • Rich projects to build up a comprehensive learning environment. Projects of different size and difficult levels, many of which are independent projects that are not tangled with other projects. So every individual in a software team can find projects that fit her/him to improve step by step.
  • Emphasis on product. Everyone in the software team should care about the software that s/he is building. Thus everyone should care about the product. Dedicated time (for example, Friday afternoon) is allocated for software team members to do nothing but playing with the product.
  • Emphasis on design skills and cultivation of programmers’ architect skills. Design sessions are scheduled regularly, when team members take turns to tell what s/he has found in her/his daily life that has a good design or bad design and why. Various design topics will be covered during such design sessions.
  • Do pair programming and code review very often to help programmers improve programming skills.
  • Software planning is strategic. Like a soccer team needs a coach to plan things strategically and build up the team, so is a software team. If you have a software architect in the company possessing those comprehensive skills, cherish her/him, let her/him make the decisions and be responsible for them.
  • Hiring is an important window for a software company. Tech director should be in charge of hiring of engineers and pay attention to the details in the hiring process. Tech director should have the directions in how s/he wants to build up the team and how to build up a good public image of the company as a tech company in order to attract talented engineers.
  • There is no software architect who doesn’t do intensive programming anymore. Maybe it is ok in other disciplines to have architects who don’t do hands-on work anymore, but not in software.
  • Everyone is building stuff. Everyone is a builder. No one is just a talker, doing management only. This is from Spotify founder Daniel. And I understand it as an important way to cut down communication cost in software management. I think at least for software management, this should be enforced. It might seem radical to enforce this at the whole company level. But I would love to see that happen, and I tend to believe that should be a very good thing for the software company.

This list might not be comprehensive. They are what I can think of off the top of my head. Maybe they are what I deem most important. Or it might just be related to my recent experiences. Time will tell, I think. If it is short, I hope people can keep it in their minds and constantly get reminded in their management of a software company.

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Management and life centers

Management is about the right people making decisions. It is about forming the trust and delegate chains. It is about hierarchy. Don’t be afraid of hierarchy, because life is full of centers. To have something that is full of life, life centers need to be formed naturally. To have an organization that is full of life, life centers also need to be formed. The forming of life centers in an organization is exactly about “right people making decisions” and “forming the trust and delegate chains”.

So don’t be afraid of hierarchy. Every organization has hierarchy. The right question is how many levels of hierarchies there are in an organization, there are too many or too few, whether there is natural flow btw hierarchies, whether there is transparency, whether there are still channels of communication across hierarchies, and etc.

This hierarchy is totally based on individuals’ ability to make the right decisions in this domain. And it it about making decisions and taking responsibilities for your decisions. It doesn’t extend to to your personal life (this part is usually quite difficult for people coming from the oriental world to comprehend).

I have seen startups where bosses seem to be afraid of hierarchies. They are afraid to delegate any responsibilities and authorities to other people. It seems they are trying to maintain a flat structure, but in reality, the bosses often become the sole authority in the company and make decisions on every level. A lot of micromanagement indeed.

Finding the right hierarchy, having the right people at the right positions and at the same time maintaining natural flow between hierarchies and transparency are what management is all about. In short, management is about center of lives.

I often say that software is about creating lives. Thus you can see why I say software and management are inherently connected. I don’t see a software engineer as a good software engineer if s/he cannot do good management. However, what we often see in the industry is that a lot of people tend to think that software engineer cannot do management, and thus management belongs to people who can not do software. It sounds bizarre. However, that is how many software companies are run today. What a tragedy if you run a company like that!

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我是如何进行年度回顾总结的

English Version

我的不少朋友都是喜欢做年度回顾总结了。从去年年底起,一直到春节,就陆续看到他们的年度回顾登台了。我利用春节几天,也做了个年度回顾,因为平时自己一直记录学习笔记,所以这个年度回顾也是在笔记本上完成的。虽然有点姗姗来迟,下面也跟大家分享一下我是如何做年度回顾总结的。

首先给大家我笔记本上去年的一个年度统计数据,一共记了3176条笔记,其中有2007个便条,647个网址,515个网摘,7个知识包。 另外也统计了各年度最常用标签,年度产生的新标签等等。关于这个统计功能和页面,请看另一篇专门介绍新开发的统计功能的文章。

通过年度统计数据,可以很快的了解一整年的大概的情况。然后就是使用笔记本的日期过滤中的浏览去年功能,让笔记本只显示去年2014年里的笔记。通过快速浏览,可以大致发现这一年需要回顾的几个大的主题,比如管理,软件团队管理,产品管理,技术(包括其中具体的几个技术专题如git, python, shell, database),osl发展,notebook设计和开发。然后就是按相应标签组合来过滤出相关笔记对每个主题依次回顾。

整个过程是先确定回顾主题,然后快速获得每个主题积累的大概的经验信息,然后再深入细节,尤其对于一些有足够积累的领域去努力形成整体的知识。最后就是查缺补漏,顺便再整理一下笔记。

在这些主题里面,在管理方面,因为平时就注重随时的总结,已经形成一系列博客文章。形成了整体的知识和深层的理解。具体看个人中文博客:http://blog.sina.com.cn/happystone2009

而在技术方面,却是需要积累了足够的实践经验和重要信息片段(如带cheatsheet, tip标签的内容)后才合适进行整体的回顾,试图形成整体的理解。比如这次主要对git做了回顾总结,整理出一个大概的整体的知识,认识深度上也有很大的收获。详见:http://91biji.org/wiki/index.cgi/Git 另外,在shell方面也积累了足够的经验了,也该结集提炼出系统的知识出来了。

其他对osl发展, notebook的设计和开发这样的比较大的主题,不断组合出一组标签来侧重于某个方面进行回顾,来总结自己过去的工作,确定下个阶段发展的重点。另外对于产品设计,软件设计,旅游等比较小的专题也进行了回顾总结。

在回顾中的每条重要的感受和想法写也同样记录成便条,加上yearly review标签,供以后的反复回顾和参考。

用笔记本来对平时就随时抓取的学习瞬间(learning moment)的“重要体验”来进行比较长的一个时间段的回顾,是相当有效的学习方式。

一个是长期笔记记录,你可以注意到那些经常出现的东西,它们反映了那个时期的一个特征,能给你提供很好的反思基础;一个是过了很长时间后的回顾,没有了当时深在其中的某种情绪,可以更客观的审视当时自己的感受;一个是不同阶段的不同环境的比较,会有非常有意义的发现。

因为笔记准确的抓取当时的体验,并且客观的做了保留记录,你不需要在年底的时候凭借你的记忆效的来做模糊的有误差的回忆。并且所有的都已经形成文字可视化的呈现在你眼前,减轻了你的心智负担,避免一边要在大脑里缓存记忆,一边要对其做分析平衡和计算。

下面我就具体的对以上说到的四点,分别举几个例子:

第一个,对于长期里多次出现的,比如我发现有一个时期我的笔记里有很多关于人生的态度要像年轻的时候有那样的闯劲,继续乐观。这些出现的频率挺高,我意识到其实是有点人到中年在心境上有些变化,而这些笔记大概是意识到这些变化吧。

再举一个例子,我在回顾在现公司的管理方面的经验总结时,我发现所有的问题放在一起一看,很明显可以发现原因都是一个:组织太大了,造成了管理上的各个方面的困难。解决的办法:一个是把公司拆小,形成许多相对独立的小的个体,恢复类市场的机制;一个是利用web(互联网),把整个公司再变小。

关于第二点,比如通过各个公司的比较,其实各有各自的问题。似乎可以看开点,并且没有必要对自己当前的环境过于抱怨,把情绪化的东西去掉。

关于第三点,我在回顾时按照过去工作过的三个不同的公司来进行比较。按照在每个公司工作的时间段过滤提取出那个阶段的笔记。这些公司属于不同行业,管理文化,软件环境都很不一样,也是不同的公司规模。第一个最小,三十多人。第二个将近百人。第三个很大,十几万人。第一家是纯互联网行业,由美国硅谷回国创业者创办,在互联网界有一定知名度。第二第三家都是比较传统的公司,对于我来说,属于去帮助推进互联网的数字化进程吧。不同阶段的体验的集中碰撞出很多很有意义的发现。

比如我在浏览笔记的时候突然意识到第一家的管理和后两家的管理实际上是两个极端。第一家的氛围和美国公司很像,至少在氛围上还是相当平等互重的。员工,主管和老板之间都是名字相称。老板中午甚至非中午一样靠在椅子上打呼噜。公司的注册资料,财务资料等公开的放在柜子里不上锁。是相当的开放的文化了。但我个人认为问题是没有形成管理上的一定的信任层级。高管之间缺少创业团队的那种经常的正式非正式的交流和切磋。而很多重要的事情又一开始就放到整个公司层面去讨论。很多人其实还没有形成一定的能力时是不适宜揠苗助长的,对其成长并不利。而第二家第三家都有相当传统的上下级关系,各种总漫天飞,敬酒文化,吹捧文化非常重。而相应的在管理上的信任层级非常僵化,没有形成基于业务能力上的信任层级。

而我在浏览前面两个小公司的管理经验时,对比后面在大公司的管理上的感受,这个感受上的差异性,让我更理解小公司和大公司在管理上的深层次上的不同。比如在小公司比较容易形成主人翁意识,因为所有的事情都在你眼里。在大公司,即使本来主人翁精神很强的人,也很难形成主人翁精神,因为公司太大了,你看到的只能是很小的一部分。在小公司,对所有的一切都可以具体的感知,对管理很有具体的感觉。而对大公司就不那么容易把握了,很难去感受。当然意识到差别了,就会主动的去尝试把小公司里的主人翁精神带到大公司里去,以及如何利用web(互联网)把大公司再变小,让所有的事情发生在一个屋檐下面。这些对比帮助我思考把小公司里的管理体验如何运用到大公司的管理上。

还发现第二家公司和第三家公司一件很有意思的事情。虽然两家公司规模迥异,却在一点上非常相像。在第二家公司,由于老板是传统业界人士,不熟悉互联网,所以下面一堆高管忽悠老板。老板也对所有的人都抱着戒心,对谁都不信任。当然本身也没有认识人判断人的能力(我一直认为老板不懂业务问题不大,但一定要会看人。像刘备文不如诸葛亮徐庶庞统,武不如张飞关羽赵云,但是会看人懂得信任人)。而第三家公司因为员工数庞大,虽然老板和最高管理层相当优秀,但是最高管理层和基层之间隔了好几层,这些中层和基层的人就是基本上嘻嘻哈哈了。不是说他们不负责,不认真,但是工作文化在我看来是嘻嘻哈哈。为什么说嘻嘻哈哈,因为没有人真的当回事。缺少个体的兴趣就不会有真正的负责。

另外通过三个阶段的对比,可以发现比如哪些是职业发展中真正重要的机会,每个工作阶段技术长进的领域和程度,从而对自己的职业发展所需要的东西有个更清晰的认识。每个环境都给你不同的东西。如果你的目标是比较高的,你就需要去不断积累在不同方面的经验,需要结合自己当前的整体的情况,去最好的利用当前的环境,或者把握未来的机会。

我通过回顾后,会对每个阶段在各个领域的成长打分,最后算个总和,评估每一个阶段的成长值。比如下面这个便条:

2013,2014 achievement: tech 3; paas 3; inner source 3; profession of digitizing 3; travel 3; management:11; media and publishing industry: 1; translation industry:2; commerce: 4; medical 3; big company culture 2; SUM: 38.

这样通过时间段和相关标签的过滤,可以对每个阶段的某个侧面进行聚焦的回顾。通过笔记本来进行这样的回顾是非常有效的。其实我以前也经常做年度回顾,正是因为发现可以通过笔记本的方式让回顾更加高效的轻松的进行,才开发了笔记本。

记忆是不太可靠的。尤其是时间比较长的记忆。一般来说本周的事情你可能还是能够比较印象准确的,长了就有些模糊了甚至会有比较大的误差。这次回顾我就发现了好几次我的印象其实是不尽然的。幸亏通过当时的笔记,忠实的找回了正确的印象。

另外,我们在很久以前对自己的人生做的决定,当时一定还是有许多的考虑的。这么长的时间过去了,你也走过了这段路,你是否还记得当初的选择,是否仍然不忘初心?比如我在近两年前特别希望增加在商业和产品管理上的锻炼,以及带团队,积累公司管理的经验。如今回头看,我已经达到了目标,已经自信自己可以带好一个软件团队,甚至管理好一个上百人的公司。现在我觉得自己则更需要专注的是在实际的技术上继续再走深走广更多细节和更加过硬,在技术上基本达到自己当初开始时对自己的期许。不忘初心,清楚自己的成长,更明白下一步的方向。

此文献给跟我同样喜欢通过笔记方式来管理自己学习和知识的学友们,献给所有擅长反思喜欢学习的朋友。我们都是自学者,让自学更简单一些!

另外会写一文,介绍笔记本的统计发现功能,比如过去每年的统计结果,各个阶段的统计结果,该阶段的常用标签和新标签,每年的笔记数量重量平均值等的比较分析。

发表在 selflearning, 使用示例 | 一条评论

New features

We have a few new features released to help you better manage your daily learning:

Swapping of book:

If you go to a note list page, for example
http://3exps.org/social/leon/bookmarkbook/notes/?q=t%3Atip+%7C+t%3Acheatsheet+%26+t%3Agit&all=
, you can see on the right upper corner of the page, there is a dropdown list of book names in red font, you can try switching it to another book name such as note, you will be directed to
http://3exps.org/social/leon/notebook/notes/?q=t%3Atip+%7C+t%3Acheatsheet+%26+t%3Agit&all=
It will swap out the book name part of the url while keep the rest the same.
Screenshot available soon.

More date range filters:

First when in a note list page, press alt+p to open up the display filter. You will see that now you can view notes of last year. You can also view by a date range, by entering a request parameter in the url like this date_range=2014-08-20—2014-12-29. Date range filter is set for the session. So for all note list (snippets, bookmarks, scraps, frames, notes, personal or social) you will have this filter applied. To reset it, simply choose date range to all.

Clicking on desc to expand and collapse a note:

In a note list page, you can click on the desc (description) part (it is the second part. So it can be url part for bookmarks ) to expand the note. Clicking on it again will collapse it. For personal notebook, for now you can only expand it. For social and group notes, you can expand and collapse.

Support for passing page_size parameter:

In a note list page, you can pass the parameter page_size to change the default page size. The maximum you can set is 200. This is also stored per session. So you have this page size for all note list pages.

Fixed menu bar

In a note list page, the menu bar of the notes will become fixed to the screen when you scroll down enough. So it will be convenient for you to select some notes for bulk edition without having to scroll back to the very top.

Screenshot available soon.

Simple frame display:

For frames that has no child frame, we build a simplified template for displaying. So it looks better. For example, you can view this frame (in Chinese):http://3exps.org/social/leon/framebook/notes/note/9174/

发表在 新功能 | 留下评论

Inner Source Software Development Environment

Inner Source, basically is to bring Open Source inside a company. The Open Source software development platform and process allow programmers across the world to work on the same project at anytime, and produce very high quality software that is well documented. It is a higher standard of software development. This platform and process can be brought inside a company for members in a company to participate in software development process seamlessly. It is “Open” to all people inside a company.

  • Like open source software projects (for example Linus in Linux project, Guido in Python project), inner source respects project ownership as well, at the same time allows for very open discussions and inputs without losing efficiency. So every project will have an owner, whose role and responsibility is just like an open source project owner.
  • Flat learning curves for competent new developers. When new developers join, they don’t need to ask here and there to get to know all the resources. The environment should be built up to allow new developers to start contribute to the projects soon, just like in open source projects.
  • Programmers participate in a project just like how they participate in an open source project: normally they start from debugging or working on TODOs inside the code, and submit pull requests. And they move up the ranks by making contribution and demonstrating skills.
  • New official projects will be listed under new projects page. These new projects need to be “owned”. Programmers can apply to own these projects.
    Programmers can start their own projects as well in company code platform (github currently). However, these projects have to demonstrate its usefulness and quality to be recognized as “official” projects.
  • Programmers’ work and contribution will be evaluated based on the official projects that programmers work on. The evaluation will be based on professional experience and judgement instead of superficial numbers. After all, software process is a complex process. Numbers will be used to help analysis.
  • There is no boundary of programming and programmers. There are certain percentage of tasks that will be assigned and arranged by team leaders. Additionally, programmers can work on any project that they are interested and feel they can make a contribution. So devops people, QA people can work on programming projects as well. Non tech team members can also work on programming projects. But the acceptance of pull request will be the right of the project owner.
  • With official and unofficial projects, we intend to build up a rich environment with many projects that people can participate in and learn various programming skills step by step. All projects are following the open source standard, with flat learning curve and easy to participate and contribute. Thus a learning environment for software programming will be built up, which will be essential for us building up a strong software team.
发表在 Software | 留下评论