Engineering Leads: Equip Your Team with These 6 AI Tools Before 2023 Ends

This year, roughly 30% of engineering leaders have figured out how to turn AI into a substantial competitive advantage. Have you?

Alex Omeyer
6 min readSep 8, 2023
Photo by julien Tromeur on Unsplash

I’ve seen an enormous divergence in how teams are approaching AI. I’ve spoken to hundreds of engineering leaders about AI adoption. They almost invariably fall into one of three camps:

Camp 1: “We’re avoiding AI.” It’s an operational risk/security risk, so until it’s better understood, we’ve got policies to avoid it.

Camp 2: “We’re allowing our people to use AI.” There’s no policy around adoption, but our engineers are using GitHub Copilot, and we let them try things out in ChatGPT.

Camp 3: “We’re actively adopting AI.” They’ve got a task force (or a person for smaller companies) responsible for learning how to adopt AI, and they’re open-minded about the potential gains.

What people in Camp 1 and Camp 2 don’t realise is that the people in Camp 3 are making enormous gains.

We asked 200+ companies to tell us about their AI adoption. Those adopting AI said they’d already worked out how to use AI to ship 2.5x faster. Let that sink in!

That means teams who are actively adopting AI are reclaiming three hours out of every eight-hour day.

And those same teams expect to save five hours out of every eight-hour day in a year.

If that isn’t a competitive advantage, I don’t know what is.

As an engineering lead, you’re in the hot seat to usher in this new era of AI-enhanced software development.

So here’s a list of six best-in-class AI tools your team should absolutely be leveraging before this year caps off.

1. Stepsize AI

As engineering leaders, processes and tools for alignment are second nature. We’ve had to adopt them to make alignment feel possible.

But, at best, we (and our engineers) lose 30% of our time trying to get aligned. One of the most basic things we do is report on our progress, whether that be our sprint progress, Kanban, or any other agile methodology.

But really, our progress reports rarely get to the heart of what really matters.

Stepsize AI’s Operational Intelligence Engine observes and reflects on everything that happens in your issue tracker.

It works with Jira and Linear, with more coming soon.

Then, it creates powerful, reliable sprint reports based on its contextual knowledge of your projects and activity, packed only with the data and insights that matter.

The result is super accurate, automatic weekly sprint reports with the perfect amount of context and detail.

‍‍It’s all about staying in the loop without drowning in the data.

Stepsize AI enables teams to:

  • Achieve alignment, effortlessly: Navigate the complex web of information channels to foster alignment between business units, teams, and individuals.
  • Spend less time in meetings: Shift focus from information-sharing meetings to impactful work.
  • Reduce context switching: Maintain team efficiency by reducing interruptions and promoting uninterrupted workflow.

So, if you’re tired of tedious meetings and spending hours connecting the dots, Stepsize AI is your go-to solution.

Find out more about Stepsize AI. Find out more about Stepsize AI.

2. Sourcegraph Cody

Sourcegraph Cody accelerates your code writing with AI.

Best features

  • AI-assisted code autocomplete
  • Codebase-aware chat and commands
  • One-click unit tests
  • Spots code smells in real time

Imagine a tool that can read, understand, and answer questions about your entire codebase and internal documentation. That’s Sourcegraph Cody. This tool promises to speed up coding tasks by a factor of 10.

My view: Sourcegraph Cody is the next-generation tool from GitHub Copilot. It excels in larger projects where speed and understanding of the existing codebase are crucial.

Check out Sourcegraph Cody

Alternatives: Mutable offers slimmed-down solutions with similar feature groups.

3. Grit

Grit automates the management of your technical debt.

Best features

  • Auto-generates pull requests for code migrations
  • Monitors for regressions in your codebase
  • Accelerates dependency upgrades

Tired of manual code migrations and dependency upgrades? Grit aims to automate these often tedious tasks by auto-generating pull requests that follow best practices. It even claims to complete migrations 10x faster.

My view: For teams bogged down by the weight of legacy code and tech debt, Grit is a lifeline.

Check out Grit

4. What The Diff

What The Diff streamlines your code review process.

Best features

  • Instant code refactoring with quick commands
  • Summarises pull requests into digestible overviews
  • Reporting and notifications

This tool will suggest changes in your pull requests and generate summaries for technical and non-technical team members.

My view: If your team is churning out pull requests at a high velocity, What The Diff is the assistant referee you never knew you needed.

Check out WhatTheDiff

5. Mintlify Writer

Mintlify Writer automates your code documentation.

Best features

  • One-click comprehensive documentation
  • Understands a wide range of programming languages
  • Context-aware to produce relevant descriptions

Documentation is often the last thing on a developer’s mind (or at least, the last thing they want to be on their mind), but it’s still an imperative part of any project. Mintlify Writer understands your code and generates accurate documentation in an instant.

My view: Writing docs isn’t really a valuable use of your engineers’ time, and — generally speaking, at least — it’s not a popular part of the job. Docs can become incomplete and inaccurate because it’s often an afterthought. So Mintlify Writer is a lifesaver, and it’s especially useful for large, complex projects where documentation can become overwhelming.

Alternatives: Scribe is a more generalist tool that can be used for auto-generating documentation.

Check out Mintlify Writer

6. Otter AI

Otter AI is your AI-powered meeting assistant.

If you’re drowning in meetings, let Otter AI be your lifeline. It can join, record, and summarise your meetings, allowing you to focus on the work that matters.

Best features

  • AI chat for meetings
  • Automatic AI meeting summarisation
  • Automated slide capture
  • Live transcript summary

My view: Otter AI is a universal tool, beneficial for teams large and small, technical or otherwise. It’s pretty great for any use case, like catching up on missed meetings, remembering what happened on sales calls without having to rewatch the whole thing — anything like that. It’s a huge time saver.

Check out Otter AI

The Final Word

All right, so there you have it — six AI tools ready to help your team elevate their game before 2023 ends.

Be in the latter camp and turn AI into a competitive advantage (before your competitors do!)

Some teams treat AI like a fad. Those aren’t the teams unlocking 350% efficiency gains.

We’ve built Stepsize AI to enable your teams to stay aligned so you can cancel hours’ worth of status update meetings and know what’s happening effortlessly.

Check out Stepsize AI.

I’d love to hear about your use case at your organization.

Originally published at



Alex Omeyer

Building Stepsize, a SaaS company to measure and manage technical debt.