The following people are permanent members of the Create:Knowledge BE Team:
|Matt Nohr||Backend Engineering Manager, Create:Knowledge & Create:Editor|
|Luke Duncalfe||Backend Engineer, Create:Knowledge|
|Markus Koller||Backend Engineer, Create:Knowledge|
|Alex Kalderimis||Senior Backend Engineer, Create:Knowledge|
The following members of other functional teams are our stable counterparts:
|Christen Dybenko||Senior Product Manager, Create:Knowledge|
|Matthew Nearents||Senior Product Designer, Create:Knowledge|
|Marcia Ramos||Senior Technical Writer, Create (Source Code, Knowledge, Static Site Editor, Editor)|
|Evan Read||Senior Technical Writer, Create (Gitaly, Gitter)|
|Natalia Tepluhina||Staff Frontend Engineer, Create:Knowledge|
|Tomislav Nikić||Software Engineer in Test, Create:Knowledge|
|Tom Quirk||Frontend Engineer, Create:Knowledge|
|Darva Satcher||Senior Manager, Engineering, Create (Interim)|
|Roman Kuba||Frontend Engineering Manager, Create:Knowledge & Create:Editor|
|Marcel van Remmerden||Product Design Manager, Create|
|Katherine Okpara||UX Researcher, Create|
|James Ramsay||Group Manager, Product Management, Create|
This chart shows the progress we're making on hiring. Check out our jobs page for current openings.
Iteration is everyone's responsibility and it should be performed throughout the development lifecycle. PM and UX iterate as they are developing the product requirements and designs. The Engineering Teams pick up the work and then doing the following:
Create MRs for the Issues
Iteration during Backlog Refinement
Iteration during creation of the MRs
While working on an MR, sometimes additional work is discovered. When additional work is discovered, ask the following questions:
Iteration during the Code Review
During the Code Review, maintainer(s) will make recommendations. For each code review comment:
In general, we use the standard GitLab engineering workflow. To get in touch
with the Create:Knowledge BE team, it's best to create an issue in the relevant project
(typically GitLab CE) and add the
~backend labels, along with any other
appropriate labels. Then, feel free to ping the relevant Product Manager and/or
Engineering Manager as listed above.
For more urgent items, feel free to use #g_create_knowledge on Slack.
We use a lightweight system of issue weighting to help with capacity planning. These weights help us ensure that the amount of scheduled work in a cycle is reasonable, both for the team as a whole and for each individual. The "weight budget" for a given cycle is determined based on the team's recent output, as well as the upcoming availability of each engineer.
Since things take longer than you think, it's OK if an issue takes longer than the weight indicates. The weights are intended to be used in aggregate, and what takes one person a day might take another person a week, depending on their level of background knowledge about the issue. That's explicitly OK and expected. We should strive to be accurate, but understand that they are estimates! Change the weight if it is not accurate or if the issue becomes harder than originally expected. Leave a comment indicating why the weight was changed and tag your EM so that we can better understand weighting and continue to improve.
The weights we use are:
|1: Trivial||The problem is very well understood, no extra investigation is required, the exact solution is already known and just needs to be implemented, no surprises are expected, and no coordination with other teams or people is required.
Examples are documentation updates, simple regressions, and other bugs that have already been investigated and discussed and can be fixed with a few lines of code, or technical debt that we know exactly how to address, but just haven't found time for yet.
|2: Small||The problem is well understood and a solution is outlined, but a little bit of extra investigation will probably still be required to realize the solution. Few surprises are expected, if any, and no coordination with other teams or people is required.
Examples are simple features, like a new API endpoint to expose existing data or functionality, or regular bugs or performance issues where some investigation has already taken place.
|3: Medium||Features that are well understood and relatively straightforward. A solution will be outlined, and most edge cases will be considered, but some extra investigation will be required to realize the solution. Some surprises are expected, and coordination with other teams or people may be required.
Bugs that are relatively poorly understood and may not yet have a suggested solution. Significant investigation will definitely be required, but the expectation is that once the problem is found, a solution should be relatively straightforward.
Examples are regular features, potentially with a backend and frontend component, or most bugs or performance issues.
|5: Large||Features that are well understood, but known to be hard. A solution will be outlined, and major edge cases will be considered, but extra investigation will definitely be required to realize the solution. Many surprises are expected, and coordination with other teams or people is likely required.
Bugs that are very poorly understood, and will not have a suggested solution. Significant investigation will be required, and once the problem is found, a solution may not be straightforward.
Examples are large features with a backend and frontend component, or bugs or performance issues that have seen some initial investigation but have not yet been reproduced or otherwise "figured out".
Anything larger than 5 should be broken down if possible.
Security issues are typically weighted one level higher than they would normally appear from the table above. This is to account for the extra rigor of the security release process. In particular, the fix usually needs more-careful consideration, and must also be backported across several releases.
The primary source for things to work on is the Knowledge backend issue board for the current iteration cycle (don't forget to filter by milestone!), which lists all of the Deliverable and Stretch issues scheduled for this cycle in priority order.
The lists are compiled by the Product Manager following the product prioritization process, with input from the team, engineering managers, and other stakeholders. The iteration cycle lasts from the 18th of one month until the 17th of the next, and is identified by the GitLab version set to be released on the 22nd.
There is also the Knowledge backend assignment issue board (again, don't forget to filter by milestone!), which shows the same Deliverable and Stretch issues, now grouped by assignee, with the left-most list listing issues not currently assigned to any backend engineer. On each list, the issues are again ordered by priority.
Deliverables are considered top priority and are expected to be done by the end of the iteration cycle on the 17th, in time for the release on the 22nd.
These top priority issues are assigned to engineers on or ahead of the 18th of the month, when the iteration cycle is kicked off, and it is their responsibility to make a best effort to get them done during that cycle, and to inform their engineering manager if anything is standing in the way of their success. You can find the issues assigned to you on the Knowledge backend assignment issue board (again, don't forget to filter by milestone!).
Many things can happen during a month that can result in a deliverable not actually being completed by the end of a cycle, and while this usually indicates that the engineering manager was too optimistic in their estimation of the issue's weight, or that an engineer's other responsibilities ended up taking up more time than expected, this should never come as a surprise to the engineering manager.
The sooner this potential outcome is anticipated and communicated, the more time there is to see if anything can be done to prevent it, like reducing the scope of the deliverable, or finding a different engineer who may have more time to finish a deliverable that hasn't been started yet. If this outcome cannot be averted and the deliverable ends up missing the cycle, it will simply be moved to the next cycle to be finished up, and the engineer and engineering manager will have a chance to retrospect and learn from what happened.
Generally, your deliverables are expected to take up about 75% of the time you spend working in a month. The other 25% is set aside for other responsibilities (code review, community merge request coaching, helping people out in Slack, participating in discussions in issues, etc), as well as urgent issues that come up during the month and need someone working on them immediately (regressions, security issues, customer issues, etc).
If you have time to spare after finishing your deliverables and other activities, you can spend the remaining time working on Stretch issues, which can also be found on the Knowledge backend issue board and Knowledge backend assignment issue board (again, don't forget to filter by milestone!).
These lower priority issues are not expected to be done by the end of the iteration cycle, but are to be Deliverables in the next cycle, so any progress made on them ahead of time is a bonus.
Stretch issues are usually not directly assigned to people, except in cases where there is clearly a most appropriate person to work on them, like in the case of technical debt, bugs related to work someone did recently, or issues someone started on before but hasn't had a chance to finish yet.
If no Stretch issues are assigned to you yet, you can find new ones to pick up in the left-most list of the Knowledge backend assignment issue board (again, don't forget to filter by milestone!), which lists all issues not currently assigned to any backend engineer. As the issues are ordered by priority, they should be picked up starting at the top. When you assign an issue to yourself to indicate you're working on it, it will move to your list and out of the left-most unassigned list, and the second issue will rise to the top for other engineers to pick up.
If anything is blocking you from getting started with the top issue immediately, like unanswered questions or unclear requirements, you can skip it and consider a lower priority issue, as long as you put your findings and questions in the issue, so that the next engineer who comes around may find it in a better state.
Instead of picking up Stretch issues, you may also choose to spend any spare time working on anything else that you believe will have a significant positive impact on the product or the company in general. As the general guidelines state, "we recognize that inspiration is perishable, so if you’re enthusiastic about something that generates great results in relatively little time feel free to work on that."
We expect people to be managers of one and prefer responsibility over rigidity, so there's no need to ask for permission if you decide to work on something that's not on the issue board, but please keep your other responsibilities in mind, and make sure that there is an issue, you are assigned to it, and consider sharing it in #g_create_knowledge.
The goal is to support the members of these groups in connecting at a personal level, not to check in on people's progress or replace any existing processes to communicate status or ask for help, and the questions are written with that in mind:
The Create:Knowledge group conducts monthly retrospectives in GitLab issues. These include the backend team, plus any people from frontend, UX, and PM who have worked with that team during the release being retrospected.
The groups in the Create stage organize regular Deep Dive sessions to share our domain specific knowledge with others in the stage, the organization, and the wider community. All existing Deep Dives can be found on GitLab Unfiltered with slides and recordings in the descriptions. For Create specific Deep Dives, there is a different playlist. To find more information on upcoming sessions, or to propose a new topic, please see the epic.
Career development conversations in the Create:Knowledge BE team are centered around a Career Development Sheet that is based on the Engineering Career Matrix for Individual Contributors. The sheet lists the expected current level behaviors on the left, the next level behaviors on the right, and uses colored columns in between to visually represent the extent to which the individual has shown to have grown from the current level to the next. Columns to the right of a next level behavior are used to collect specific examples of that behavior, which serve as evidence of the individual's growth.
Both the matrix and the sheet are Works in Progress; the development of the career matrix is tracked in an epic, and as the matrix evolves, the sheet will be updated to match.
In the scenario where an Engineering Manager (EM) is unexpectedly out of the office we will immediately implement this backup plan to support a smooth and stable day-to-day work experience for all team members and stable counterparts. In case that the regular EM is not available, the stable counter part will jump in and support the team wherever possible.
Consider pinging the standing EM on important things and help proactivley to follow the usual processes around Weekly Catch Up Meetings, Sprint Planning, Retrospectives or other meetings.
1-1s will be run in an asynchronous manner, where a new Google Doc will be shared with focus on status and enablement.