What is your opinion about full-stack teams? I’m referring to teams where the desire is for every member to competently contribute at every point in the stack.

  • Do they work?
  • What has been your experience?
  • Does team size and/or experience level inform your opinion?
  • Do you notice an increase/decrease in quality?
  • Do you notice an increase/decrease in team and product cohesion?
  • freagle@lemmygrad.ml
    link
    fedilink
    arrow-up
    3
    arrow-down
    3
    ·
    1 year ago

    Think about the alternatives - either you divide the stack into separate teams or you have non-overlapping experts in the same team. Both are horribly worse.

    With the multi-team architecture, no one can deliver anything on their own. They all have to hand off their work to someone else and receive handoffs from someone else. Rework becomes huge as downstream teams with expertise not present upstream identify flaws and send work product back for revision.

    With non-overlapping experts, you have a team of N with N bus factors of 1. No one can get sick or take vacation. If someone quits, dies, or wins the lottery, the whole team shuts down while they try to find a replacement. You can fix this by hiring 2 or even 3 experts per area. So now your team is full of redundant experts that fight for expert recognition. The handoff problem remains but is somewhat lessened.

    A full-stack team is not a team of pure generalists. A full stack team is a cross-functional team that owns the entire value stream (design to production) and cross-trains internally. Hiring people with specialized knowledge is predicated on their willingness to learn all other areas and teach their area. Only T-shaped professionals (depth in one area, breadth across the stack) inhabit the team and only people with the humility to learn need apply.

    Over time, a full stack team outperforms every other team. The team is internally redundant on all tech, so bus factors are lowest when new people are added and bus factors continuously get larger over time as people cross-train. New hires have built in training because the team is always training. New tech can be added regularly because everyone is always training and learning.

    Full stack teams are the best form of software team hands down.

      • marcos@lemmy.world
        link
        fedilink
        arrow-up
        2
        ·
        edit-2
        1 year ago

        You mean people taking ages to release because the work is divided between multiple teams and each one is creating a slightly different feature?

        Yes, I have seen that.

        Or if you mean a team of generalists with an specialist here and there not suffering from this problem?

        I have seen that too.

        I have also seen people solve the specialization problem by making their own layer more general than it would technically need to be, and become about as productive as a full stack team. The interesting part is that I have only seen that done by generalists, so I really doubt a set of specialists-only teams can be really productive.

          • marcos@lemmy.world
            link
            fedilink
            arrow-up
            1
            ·
            1 year ago

            It’s dependent on many members being T shaped. Not all, and I don’t know if “most”. But you need enough to handle the basic flow of the system and interact with all of the specialists.

      • freagle@lemmygrad.ml
        link
        fedilink
        arrow-up
        2
        arrow-down
        2
        ·
        1 year ago

        Yes, I have built both types - specialist first and it was a fiasco. Cross-functional was consistently the best

          • freagle@lemmygrad.ml
            link
            fedilink
            arrow-up
            2
            arrow-down
            3
            ·
            1 year ago

            Specialist is too thin. The specialists only know what they know and they don’t want to learn new things outside their speciality. So I had to hire a new person everytime we found a speciality gap because the specialists were like “not my job, I am an X specialist, go hire a Y specialist”. Then, they held their work tightly, no cross training, so the specialists all became their own brand of bottleneck. Different work speeds and different levels of quality meant that ego came to defend against performance complaints, and I as a manager couldn’t add more people to the problem areas because they weren’t trained in that area and the specialist could do it faster than they could train others to help.

            That being said, all my full-stack team members had specialities. That’s what T-shaped means. I had frontend specialists who could work the whole stack, backend specialists who could work the whole stack. Dev tools specialists who could work the whole stack. Architects who could work the whole stack. Everyone we hired had something they were best at, and an alignment to learn the whole stack. Within a year they were able to work on all tech in the stack and anyone could bring in a new tech to solve a problem and everyone would learn it.