Is GitLab Too Heavy for Your Team? A Guide to Lightweight Alternatives

GitLab promised a unified DevOps platform. One tool for everything—code, CI/CD, issue tracking, documentation. No more juggling separate services.

For many teams, it delivered. But for others, that promise came with an asterisk: results may vary depending on how much hardware you can throw at it.

If you’ve found yourself waiting for pages to load, watching pipelines queue, or wondering why a platform for a 15-person team needs the same resources as a small data center, you’re not alone.

The Resource Reality

Let’s start with what GitLab actually requires. According to their own documentation:

  • 1,000 users: 8 vCPUs, 16GB RAM
  • Minimum viable: 4GB RAM (but they warn you’ll get “strange errors” and “500 errors during usage”)
  • Recommended swap: At least 2GB, even if you have enough RAM

That’s for the application alone—before your team actually uses it for anything.

One user on GitLab’s own forum described the experience: “Right now I’m the only user on the system, there are some groups I created but no repos so far, only a test repo with a readme. No runners yet. Sometimes the performance is quite good but often everything slows to a crawl with multi-second load times.”

A single user. A single test repo. Multi-second load times.

Why GitLab Gets Slow

The architecture explains a lot. GitLab isn’t one application—it’s many services bundled together:

Puma workers handle web requests. Each worker reserves up to 1.2GB of memory by default. GitLab recommends (CPU cores × 1.5) + 1 workers, so a 4-core server runs 7 workers consuming roughly 8GB before anything else starts.

Sidekiq processes background jobs. It starts at 200MB+ and, according to GitLab’s docs, “can use 1GB+ of memory” on active servers due to memory leaks.

Gitaly handles Git operations. PostgreSQL stores everything. Redis manages sessions. Prometheus monitors the whole stack (consuming another ~200MB by default).

Each component is optimized for GitLab’s largest customers—enterprises with thousands of users. That optimization means pre-allocating memory, running multiple workers in parallel, and keeping caches warm for traffic that smaller teams never generate.

A former GitLab employee put it bluntly in a 2024 retrospective: “GitLab suffered from terrible performance, frequent outages… This led to ‘GitLab is slow’ being the number one complaint voiced by users.”

The Tuning Tax

Yes, you can tune GitLab. Their documentation includes an entire section on “Running GitLab in a memory-constrained environment.” You can:

  • Reduce Puma workers (at the cost of concurrent request handling)
  • Lower Sidekiq concurrency (background jobs take longer)
  • Disable Prometheus (lose monitoring capabilities)
  • Configure jemalloc to release memory faster (sacrifice some performance)
  • Switch to Community Edition (lose enterprise features)

One engineer documented getting GitLab down to 2.5GB RAM after applying every optimization. His conclusion: “Is it great? Not by a long shot.”

The real question isn’t whether you can tune GitLab. It’s whether you should spend your time maintaining infrastructure instead of building your product.

What “Lightweight” Actually Means

When teams search for a lightweight GitLab alternative, they usually mean one of two things:

Lower resource requirements. Not needing a dedicated 16GB server just to run your development tools. Being able to spin up an instance on modest hardware—or alongside other applications—without everything grinding to a halt.

Lower operational overhead. Fewer moving parts means less to configure, less to monitor, less to troubleshoot at 2 AM when pipelines stop working.

Smaller platforms can deliver both because they’re designed for the teams that actually use them, not for GitLab’s target market of enterprises with dedicated DevOps engineers and infrastructure budgets.


Evaluating alternatives? GForge installs in about a minute via Docker, runs on 4GB RAM (6GB recommended), and includes Git, issue tracking, CI/CD, wiki, and chat in one platform. See how it compares to GitLab →


The Trade-Off Calculation

GitLab’s resource requirements aren’t arbitrary. They’re the cost of supporting massive scale, extensive integrations, and enterprise features that many teams never touch.

If you’re running GitLab for 5,000 users across multiple business units with complex compliance requirements, those resources are well spent. GitLab was built for that scenario.

But if you’re a team of 20 wondering why your development tools need more resources than your production application, the math changes.

Consider what you’re actually paying for:

Infrastructure costs. Cloud VMs with 16GB RAM aren’t free. Neither is the engineer time spent tuning and maintaining them.

Performance friction. Every second spent waiting for pages to load is a second not spent building. Small delays compound across an entire team.

Cognitive overhead. A platform with hundreds of features creates hundreds of opportunities for confusion. Settings buried in nested menus. Behaviors that require documentation to understand.

One G2 reviewer captured it: “Since GitLab offers so many features, it can feel a bit overwhelming when you’re just starting out. Also, I’ve noticed that performance can slow down a little when working with larger repositories.”

Another on Capterra: “Large repositories or self-hosted instances can suffer from slow performance, especially when using the web interface or running complex pipelines.”

Questions Worth Asking

Before committing to any platform—GitLab or otherwise—teams focused on performance should ask:

What are the actual minimum requirements? Not the “we technically support this” requirements, but what it takes to run comfortably.

What happens at scale? Not GitLab’s scale, but yours. How does the platform behave with your repository sizes, your team’s workflows, your expected growth?

What’s the upgrade path? Monthly releases sound great until you’re responsible for applying them to a self-hosted instance without breaking anything.

Who runs it? Enterprise platforms often assume you have dedicated DevOps staff. If your developers are also your operators, complexity becomes a direct tax on feature development.

What don’t you need? Every feature you’ll never use still consumes resources, still creates UI clutter, still adds cognitive load. Simpler platforms that do less can actually deliver more.

The Broader Lesson

GitLab’s performance challenges aren’t unique. They’re the predictable result of a platform trying to be everything to everyone—a pattern that repeats across enterprise software.

Tools built for the largest customers serve the largest customers best. That’s not a criticism; it’s economics. GitLab’s business model depends on winning enterprise deals, so that’s where development effort goes.

For teams outside that enterprise bracket, the question isn’t whether GitLab is a good platform. It’s whether it’s the right platform for you.

Sometimes the answer is yes. The feature depth, the market presence, the ecosystem of integrations—these matter.

But sometimes the answer is that a platform built for teams your size, with requirements that match your resources, will deliver better results than wrestling a heavyweight into submission.

Finding Your Fit

If GitLab performance is actively slowing your team down, the path forward usually involves one of three options:

Throw hardware at it. More RAM, faster storage, beefier CPUs. This works, but it’s expensive and doesn’t solve the underlying complexity.

Tune aggressively. Follow GitLab’s documentation for memory-constrained environments. Accept the trade-offs. Become an expert in GitLab internals.

Evaluate alternatives. Look for platforms designed for your team’s actual size and needs. The market has options beyond the two or three names that dominate search results.

None of these is universally correct. The right choice depends on your team, your constraints, and what you’re trying to accomplish.

But if “GitLab is slow” has become a running joke on your team, it might be worth asking whether the problem is your hardware—or your platform.

Looking for a lighter approach? GForge delivers Git, issue tracking, Agile tools, CI/CD, wiki, and chat—all managed through a simple Docker-based install. No complex tuning required. Try it free → or download for self-hosting →

The GitLab Pricing Trap: Why “DevOps in One Tool” Costs More Than You Think

GitLab promises the dream: one platform for your entire DevOps workflow. No more juggling separate tools for version control, CI/CD, project management, and documentation.

It sounds perfect – until you see the invoice.

If you’re already comparing the two platforms, see our full GForge vs GitLab breakdown for a detailed feature-by-feature look.

The Reality Check

Your startup is growing. You’ve been happily using GitLab’s free tier, and now you’re ready to upgrade for those premium features that should streamline your workflow.

Then you hit the pricing page.

“GitLab ended up being a full order of magnitude more expensive [than alternatives]…”

At $99 per user per month for the Ultimate tier, that’s $1,188 per user, per year—almost $12,000 annually for a 10-person team.

By comparison: GForge Next SaaS costs starts at just $6 per user per month, with every feature unlocked from day one. No upsells, no “premium-only” buttons scattered across your UI.

The Collaboration Killer

GitLab’s user-based pricing doesn’t just hurt budgets—it stifles collaboration.

“At $1200/year there’s no way I’m letting the artists use Git. They can stick to their terrible Dropbox hacks.”

When inviting one more teammate means adding a four-figure bill, you start excluding people from the process:

  • Designers can’t access repos.
  • Product managers can’t use integrated planning tools.
  • Cross-team transparency disappears.

That’s not DevOps. That’s divide-and-conquer by invoice.

The Growing Pains

Per-user pricing means your costs grow faster than your team.

“We use GitLab to generate docs that are read by hundreds of internal users… those users suddenly cost $1,200/year for minimal features.”

You either lock people out—or pay enterprise rates for users who log in once a month. Neither scales gracefully.

Tier Traps, Hidden Costs

GitLab’s tier strategy pushes must-have features into the most expensive plans. Even on lower tiers, the UI constantly reminds you what you could have if you upgraded.

“I’d love to see those features that compete with Jira—like roadmaps and multi-level epics—come down to the Premium level.”

And those “premium” features? They still don’t match what GForge delivers out of the box:

  • Multiple ticket types
  • Custom fields and workflows
  • Role-based auto-assignment and triggers

Plus, GitLab Free isn’t really free: expect extra charges for CI/CD compute minutes ($10–50/month) and maintenance overhead for its proprietary YAML build files.

“My first surprise was that GitLab doesn’t allow monthly payments… I had to pay a whole year up front.”

That’s a $12,000+ hit before you’ve even shipped your next release.oney.

The Bottom Line

“We love GitLab, but find ourselves stuck using the free tier and paying for [third-party] services we don’t love, rather than supporting GitLab.”

Your DevOps platform should grow with your team—not punish you for success.

GForge Next gives you:

  • Self-hosted, cloud-hosted, and SaaS options
  • One predictable price
  • Real support from real engineers (email, phone, or Zoom)

Before you renew your GitLab license, read our GForge vs GitLab comparison guide or see why teams are choosing GForge as a GitLab alternative — then either register a free account or spin it up on your own servers in about a minute.

Got your own GitLab pricing shock story? We’d love to hear it.


Sources:

Why Does Collaboration Software Suck?

Let’s face it, the collaboration space has no shortage of options. Today’s solutions come in different flavors of SaaS, on-premises or hybrid, all promising you that a few mouse clicks will have you collaborating better. The one attribute most of them have in common is they suck. In fact, many of these solutions actually make collaboration worse. To help you navigate your options, let’s lift the hood and explore many of the common problems with today’s collaboration solutions.

Collaboration software shouldn't suck. Learn about some common problems to avoid.
  1. You Get Pieces & Parts 
  2. Too Small or Too Big, Won’t Scale 
  3. Who’s Working for Whom?
  4. Comments <> Collaboration
  5. They’re Expensive
  6. Golden Handcuffs 

You Get Pieces & Parts

Let’s face it, as a business grows so do your needs. This transition happens slowly and before you know it you look down to discover you have lots of little solutions each itching a single scratch in helping you collaborate better. Worse yet, navigating between those tools is often painful. In the best case the integration features adds even more buttons to an already complicated user interface. In the worst case you will have to manage a bunch of bookmarks to get to specific features. 

On the subject of user interfaces, today’s solutions are all over the board. Geek-centric solutions might make your IT teams happy, but could alienate your project managers, product managers and upper management. Some solutions create busy-work for team members so that management can have pretty reports.  Other solutions are too enterprise-y, trying to be everything to everyone, but making everything more complicated instead of more efficient. Their lack of focus makes the user experience painful – with too many links, buttons, and tables, all competing for your attention.

Finally, the lack of a comprehensive feature set makes portfolio management difficult, if not impossible. Some solutions focus on work (tickets, issues, tasks), some focus on the process (kanbans, CI/CD integration), and others focus on people (chat).  But what about the bigger picture?

  • How many projects do we have in flight? What’s the relative health of those projects?
  • Have we spread our valued team members too thin? 
  • How do I find quickly find what I’m looking for? How about searching all the things (projects, users, tickets, documents)?  Centralized searching isn’t something you can do without… – yep, you guessed it – buying another tool. 

Next, let’s discuss the insanity of help desk solutions. It’s common for projects to deliver solutions to customers who need access to a support team. Isn’t a ticket just a ticket? Why do vendors try to upsell a separate help desk solution? Under this model, if a customer raises an issue that requires remediation by your team you end up with two tickets: one ticket in the help desk solution and another ticket in the collaboration solution. In most cases there is no inherent association between the two.

Now let’s think about turnover. When someone leaves your organization, how easy is it to revoke their access? Even if you’ve identified the replacement for a departing team member, reflecting that change in multiple projects can be cumbersome. And, once again, if you’ve been upsold both of those processes become harder.

The final point worth considering is discoverability. This may sound ridiculous, but many solutions don’t allow you to specify who is able to discover a project in the first place. If you are doing real portfolio management then knowledge sharing is critical, and you should be able to specify who can discover projects. Similarly, you should have a way to explicitly limit discoverability to certain projects. 

Too Small or Too Big, Won’t Scale

Not all projects are created equal. Say that again: not all projects are created equal. In a world where organizations have dozens or even hundreds of projects, in various phases of development, support and retirement,  it’s important to be able to scale up or scale down features without the headache of buying more seats or finding a new solution.

Then there’s the SaaS/Cloud versus on-premises discussion. That decision should be yours and your choice shouldn’t make deployment and management any harder. There’s no shortage of on-premises solutions, yet many require painful, complex installation and upgrade processes. Given the critical role collaboration solutions play, getting them up and running (and keeping them up-to-date) needs to easy. Many of these solutions cannot be installed at all without  an internet connection for the server. This means installing a collaboration solution on your super secure network will be difficult if not impossible.

Then, once you are up and running, how do you control access to your projects? Access control varies greatly between collaboration solutions. Large projects often have large teams, with technical, management, and stakeholder members, each playing a role in successful delivery. Believe it or not, some collaboration solutions don’t allow you to define your own roles, instead, imposing a set of roles often giving users access to either too many or too few features. Roles are a key in any real collaboration solution and are often reusable, specifying the level of access users have. And even if you can specify roles on your project, if you’ve been upsold you may well be stuck having to manage access to each upsold feature separately.

This is where the tools start to run the team. What started out as only a ticketing solution soon includes a wiki, chat, help desk and next thing you know, you are looking at a bunch of tools, held together with duct tape and web hooks, none being the authoritative source of your precious project data, and all individually imposing different ways for you to get your job done. When will this nonsense stop?

Who’s Working for Whom?

That question may sound absurd but, yes, we are asking that question with a straight face. Are your tools working for you or you having to bend to their will? To illustrate, let’s start with something as basic as ticketing. Tickets are the atomic unit of work by which things get done. All your planning, distribution and tracking of work happens through tickets. In fact, most of your collaboration will be centered on the best ways to deliver the work outlined in a ticket. So why do so many systems get the most important, fundamental needs all wrong? Let’s answer that by identifying common shortcomings of many collaboration tools:

  • Duplicate Tickets – When creating a ticket should the system let you know you may be submitting a duplicate? Furthermore, shouldn’t the system give you hints that maybe the problem or goal in a ticket has been addressed already on sites like StackOverflow?
  • Batch Updates – Updating multiple tickets in batch should be easy to do. Yet many systems either don’t allow for this or make this far more difficult than it should be.
  • Quickly Adding New Tickets – In the planning phase, it is common to create multiple tickets at once all within the same milestone or sprint. Most systems require you to rekey many of the same pieces of data instead of using sane defaults.
  • Ticket Types – While the distinction about tickets is important (e.g. user story, epic, task, bug), adding flexibility shouldn’t slow the team down or make things more complicated..
  • Imposing Workflow – Workflow can help teams stay on track and handle tasks in a consistent way.  But your ticketing solution shouldn’t force a specific workflow on your team..
  • Dependencies – Dependencies between tickets is common. Solutions should make establishing blocking/non-blocking or parent-child dependencies easy and obvious.
  • Spam – Getting notifications that a ticket, sprint, epic or milestone has been changed is great, but do you really have to get a separate email for each update? Solutions should provide the option of receiving daily digests. 
  • Ticket Previews – Because the work in tickets can be a part of any milestone, release, sprint, etc you often need to know more detail than just the ticket number and summary. Yet, surprisingly, many solutions don’t give you ticket previews everywhere and every time tickets are referenced.

Comments <> Collaboration

Repeat after me: “Comments aren’t collaboration”. Don’t get me wrong, commenting on a ticket, wiki page, or document aids in collaboration but it isn’t true collaboration. That’s why we’re seeing all sorts of chat solutions rushed to market. Chat solutions are great and often serve as the central hub of any successful project. Here again, the upsell issue bites us but in the case of chat, it is exacerbated. Chat conversations give concise context and often include references to key project artifacts (tasks, support tickets, documents). For those exact reasons, chat should be a foundational and well-connected component of any real collaboration solution, not an upsell. For example, with an upsold chat solution, when you add a new team member you also need to manually give them access to the corresponding chat rooms or channels. And remember that problem about centralized search? Did a teammate answer your question inside of a ticket, wiki or in the chat channel? Shouldn’t a real collaboration solution answer that question for you? Why should you have to run the same search in different places?

They’re Expensive

A common problem with many collaboration solutions is that their base functionality has a high price tag. And despite that high initial cost, they have a limited scope, implementing only a few well thought out features. Make no mistake, this is on purpose – vendors use this approach to get you to spend more money. They accomplish this in one of two ways:

  1. The Vendor Upsell –  Do you want to add a chat solution to that fancy ticketing system you bought? They have an app for that. Oh, now you want some sort of documentation/wiki solution? Yep, get out your checkbook. The problem with vendor upsell is it often creates more problems. On top of having to negotiate a new contract for each product, you are now on the hook for keeping all your shiny, new tools integrated.  Now this integration may not be an issue if you are all in on cloud-only solutions but as soon as you bring any of those solutions in house you are stuck with keeping them connected. 
  2. Marketplace Ecosystem – Some collaboration solutions get around their lack of features by offering a marketplace where third parties can offer you solutions that integrate with your vendor of choice. This has all the same problems as the vendor upsell but now you are adding another vendor to the equation which, on top of the pricing issue, it means the integrations are going to be more fragile and any breaks in compatibility puts you at the mercy of both vendors.

Golden Handcuffs

With collaboration solutions playing such a key role in Getting Things Done, the more you use them the more valuable they become. So what happens when you get to a point when you want to make a shift in how you collaborate? 

For example, there are a few reasons an organization may want to move from SaaS to on-prem or vice versa and while it isn’t common, it shouldn’t be impossible, either. And if it isn’t impossible to do, the odds are the work in accomplishing that isn’t trivial. Moves like this should not only be possible but relatively easy to do.

And then there’s our friend “vendor lock-in”. You should never get into a vendor relationship that you can’t easily get out of. The upsell models makes switching out solutions even more costly, time consuming and error prone. Worse yet, if you have independent vendor solutions each itching a specific scratch, then it means those integrations will break requiring more time to keep them in sync.

What’s Irking You?

It isn’t all doom-and-gloom when it comes to collaboration software, but a solution that is right for you NOW may not be able to grow with you in the future. To that end, it’s important to understand where many of today’s systems fall short, and make choices that balance where you are today, and where you want to go. Do you have a collaboration solution driving you crazy? We’d love to hear the reason why your collaboration solution sucks.

The Loveless Start Up – IPO Trough

I happened upon a short LinkedIn post by a gentleman named Josh Jones that caught my eye. The title says it all: “We spend too much time celebrating ‘Start Ups”, not enough celebrating ‘Keep Goings'”.

Look, I’m not here to sprinkle any hate on the dreams of Start Ups out there but what resonated with me is his assertion we don’t celebrate the ‘Keep Goings’ enough. As I read his piece, I couldn’t help but picture an inverted bell curve of “Hype” where the ‘Keep Goings’ were bookended by start-ups and publicly traded companies:

Hater’s gonna hate, right? I perpetually operate with a chip on my shoulder as we at GForge hustle everyday to eat a bigger piece of pie in our market by competing against the likes of Github, Gitlab and Atlassian. Josh’s article resonated with me because the Glamor around Start Ups (who are, by their very nature in debt) and the Hype generated by big, publicly traded companies with lots of resources drowns out the successes and accomplishments of companies like ours. The ‘Keep Doings’.

On a more personal note, and at the risk of unveiling some of my own professional insecurities, Josh’s point on the emotional toll is spot on:

“…it is a dark, lonely, stressful, tough road to go down at times, there is no-one who has gone out on a mission and stuck at it for years that has not been into the darkness that is on the road to your dreams.”

I want to leave you all with just three thoughts:

    1. I’m painfully aware that being drowned out by the Hype generated by Start Ups and big, publicly traded companies is in part a fault I have to own. The GForge brand isn’t where it should be and the accountability sits with me. I only say this to be clear I’m not simply whining about what they are doing right.
    2. If you are a consumer of B2B solutions and services I ask you consider critically if going with a flashy Start Up, however well funded they are, is better than a proven solution from a company with a solid history and track record. Similarly don’t fall into the “people don’t get fired from buying Microsoft” line that I’ve heard more times than I can count. That’s not a good reason for going big.
    3. More importantly, I want to hear from the other ‘Keep Doings’. I know there are more of us out there and reading Josh’s piece really gave me perspective and some calm knowing there are a lot more of us out there hustling Every. Single. Day. Come out of the shadows, tell your story and share similar experiences you have had.

Signs That You’ve Outgrown Github, Part 3: Merges

This is part 3 in a series about the limitations of Github, and how they might be holding your team back from its full potential. If you want to go back and catch up, here’s Part 1 and Part 2.

Go ahead, I’ll wait right here.

Done? Okay, let’s move on.

Today’s discussion is about getting code merged. It’s one of the most fundamental things any software team has to do. If your team is anything like ours, it’s something you do many times every day. It might even be the kickoff for your Continuous Integration/Delivery process, as it is for us.

Reliable merging is the key to getting multiple things done at once

Getting things out quickly is important, but preventing outages from bad code is even more important. You probably want an easy way to review and even test code that doesn’t distract too much from the work you’re already doing.

Once again, Github has a wonderful system for promoting code from one repository or branch to another — the Pull Request (PR herein). In particular, the PR is great for open-source projects where people might want to contribute, even if they’re not members of the main project. The proposed contributions can be examined by the main project member(s) and be pulled in only if they’re helpful.

Typical Github pull request — you can see the code changes and their purpose, all in one place

But like many other Github features, you may find the PR process to be mis-aligned to your needs, in a way that creates a little extra delay and a bit of confusion every time you use it.

Pull Requests 101

For those who haven’t tried one yet, a pull request (PR) is a special kind of task, asking someone to merge a set of changes (commits) from one place to another. In more general terms, you can think of it as promoting a chunk of work from one level to another — such as from a development branch to test and then to production, or from a hotfix branch to long-term-support.

A simple example of promotion — taking a specific change from one environment to another

Because it’s a request, it doesn’t involve any access to the project repository from any non-members. The project team can review the proposed changes and take them, ask for revisions, or ignore them. It’s a great model for open-source or otherwise loosely-coupled groups to share ideas and improvements.

Keep It In One Place

But that flexibility comes at a cost. Pull Requests are opened and managed separately from individual tasks, so you’re basically creating another task to review each task’s work. The open or closed status of each task can be independent of the status of the related PR. Additionally, there’s nothing stopping someone from submitting changes for multiple tasks in one PR, which can be confusing and difficult to review.

For software teams that aren’t open-source, this loose coupling actually creates more process, more overhead, and time thinking that could be spent doing instead.

Ask yourself — wouldn’t it be a lot easier to merge the code as an integral part of the task itself?

Singularity Of Purpose

Let’s start with an assumption — that in order to change your code, there should be a defined reason for doing so.

You’re writing code because something needs to be added or fixed. There’s a use case. A story. A bug. A feature. A customer who wants something. There’s a reason to change what you already have.

You probably also want to do two things with your tasks:

  1. You want to create a plan ahead of time, for which things will be done, by whom, in what order.
  2. You want to keep track of progress as things move along.

Once you start depending on tasks for planning and tracking, you can begin to improve your overall process, reducing the number of steps and the distance between idea and working code. As you do, separate PRs may start to lose their appeal. Asking developers to open a separate kind of ticket to get code merged is a hassle. Allowing them to put multiple bug fixes into one merge is asking for confusion and mistakes.

If you’re delivering code using a well-defined workflow, PRs can actually cause problems:

  • Audit trail — It’s difficult (or impossible) to know later which code changes went with which task.
  • Larger merges — the code review itself becomes much more complicated, since there are more commits, more changes files.
  • All or nothing — If you like the changes for task #1, and for task #2, but there are problems with the tests for task #3, the whole PR is sent back for rework. This means you’re likely sitting on changes for longer.
  • More conflicts — Pretty simple math: (Larger merges) + (All or nothing) = More conflicts.

Since there’s no way in Github to limit the content of a PR, there’s no good way to prevent this kind of behavior. Creating a PR for every single bug becomes a tedious time-sink that doesn’t add value to your day.

Now, you might argue that a Github PR can act as the task itself, and it does — but not really. PRs are only retrospective, meaning that you create one after (or while) doing the work. If you don’t create tasks before doing the work, then you’ll never have any way of planning or tracking progress.

Simplify, Simplify

For most teams, the overlap between tasks and PRs is additional work that doesn’t generate any value. What you really need is a way to automatically detect code changes, review those changes and then promote them to dev, test and production, all as part of the task.

This kind of integration means that you can go back to the task later, understand the intent of the change, and also see the code changes that went with it. Your task tracking becomes a source of institutional memory, so that people can move in and out of the team, or across different features without making old mistakes over and over again.

If your tools are preventing you from improving your process, maybe it’s time to improve your tools.

Ready to move beyond GitHub’s limitations? See our GitHub Alternative page for a quick overview of why teams switch, or dive into the full GForge vs GitHub comparison for details. Then try GForge Next — it’s free for up to 5 users.