DEV Community: Gitmore

We built an AI agent that understands your Git history instead of just generating code

Gitmore — Tue, 21 Jul 2026 17:00:46 +0000

Over the past couple of years, AI has become incredibly good at writing code.

GitHub Copilot, Claude, ChatGPT, and other coding assistants help developers generate functions, explain code, and even fix bugs.

But after shipping code, another problem remains.

Understanding what actually happened.

Engineering teams generate an enormous amount of information every day:

Commits
Pull Requests
Code reviews
Merges
Releases

The information exists.

The problem is finding it.

The context problem

Imagine joining work on Monday morning.

You want to know:

What shipped last week?
Which features are still in progress?
Which PRs are blocked?
What changed in authentication?
What has the backend team been working on?

Most developers end up opening multiple repositories, searching through pull requests, reading commit messages, or asking teammates.

It's not difficult.

It's just slow.

What if you could simply ask?

That's the idea behind GitMind.

Instead of searching through Git activity, you ask questions in natural language.

Examples:

"Summarize today's engineering activity."

"What shipped this week?"

"Which pull requests are waiting for review?"

"What's changed in the payments service?"

Instead of raw Git data, GitMind returns concise answers and summaries that help developers, engineering managers, and founders understand what's happening across their projects.

Why we built it

Most AI developer tools focus on writing code.

We wanted to focus on understanding engineering activity.

Developers already spend enough time switching between GitHub, GitLab, Slack, and documentation.

Our goal was to reduce the time spent searching for context so teams can spend more time building software.

We'd love your feedback

We're actively improving GitMind, and we'd love to hear from the developer community.

Some questions we'd love your thoughts on:

What Git-related questions do you ask most often?
What information is hardest to find in your repositories?
Would an AI agent like this fit into your daily workflow?

If you'd like to learn more or try it out, visit https://gitmore.io.

We are looking forward to hearing your thoughts and learning what features would make a tool like this genuinely useful for developers.

We stopped asking engineers to write status updates. Git already knows the answers

Gitmore — Mon, 20 Jul 2026 16:42:50 +0000

One thing has always felt strange to me:

Developers spend hours every week writing updates about work that's already recorded in Git.

Commits.
Pull requests.
Reviews.
Issues.
Deployments.

The data exists, but it's scattered across dozens of pages and dashboards.

So we started wondering:

What if Git could generate the update for you?

That's the idea behind Gitmore.

Instead of manually summarizing your week, Gitmore analyzes your repositories and creates AI-powered engineering reports. It can also answer questions such as:

What shipped this week?
Which PRs are still waiting for review?
What has each developer been working on?
Which repositories have been inactive?

It works with GitHub, GitLab, and Bitbucket, and sends reports directly to Slack or email.

I'm curious:

How does your team currently handle engineering updates?
Do you still run standups and weekly reports manually?
Would you trust AI to summarize your Git activity?

I'd love to hear what's working (or not working) for your team.

Check it out: https://gitmore.io

Turning Git Activity Into Engineering Insights With AI

Gitmore — Thu, 16 Jul 2026 14:17:23 +0000

Every engineering team has the same challenge:

Your Git history contains a lot of valuable information... but extracting it takes time.

Every day, developers create:

📝 Commits
🔀 Pull requests
🔍 Code reviews
🚀 Releases

Together, they tell the story of your product.

But answering simple questions can still be difficult:

What changed this week?
Which features were completed?
What is blocking progress?
What did the team ship?

Usually, someone has to manually collect this information and write updates.

That process doesn't scale.

Using AI to Understand Your Codebase

Instead of creating manual reports, what if your development activity could explain itself?

Gitmore connects with GitHub, GitLab, and Bitbucket to transform your Git activity into AI-generated summaries.

It helps teams:

✅ Generate daily and weekly engineering updates
✅ Understand recent changes faster
✅ Share progress automatically with Slack or email
✅ Keep everyone aligned without extra meetings

The idea is simple:

Your team already creates the data. AI helps turn it into knowledge.

No changes to your workflow.
No extra documentation.
Just better visibility into what your team is building.

If you're interested in exploring AI-powered engineering insights:

👉 https://gitmore.io/

Would love to hear how your team currently handles engineering updates. 🚀

ai #opensource #github #gitlab #softwareengineering #devtools #productivity #webdev

Stop Writing Weekly Updates Manually 🚀

Gitmore — Tue, 14 Jul 2026 14:49:02 +0000

Developers build. They shouldn’t spend hours explaining what they built.

Your Git history already contains the story, commits, pull requests, fixes, and improvements.

Gitmore uses AI to transform your Git activity into clear engineering reports automatically.

✅ Understand team progress
✅ Save time on reporting
✅ Keep stakeholders updated

Ship more. Report less.

🔗 https://gitmore.io

Stop Writing Weekly Engineering Reports by Hand

Gitmore — Mon, 13 Jul 2026 15:09:19 +0000

Every Friday, the same routine begins.

Someone opens GitHub.

They scroll through commits.

Review merged pull requests.

Try to remember what actually shipped.

Then spend another 30–60 minutes turning all of that into a report for Slack, email, or management.

The strange part?

The data already exists.

Your Git history already contains:

Every commit
Every pull request
Every merge
Every contributor
Every release

The difficult part isn't collecting information, it's transforming it into something people can quickly understand.

The Hidden Cost of Manual Reporting

For a small team, a weekly report might take 20–30 minutes.

For larger teams, it can easily take several hours each week.

That time adds up quickly, and it usually falls on senior developers or engineering managers.

What an Ideal Workflow Looks Like

Instead of manually gathering updates:

Connect your Git repositories.
Automatically analyze commits and pull requests.
Generate a clear summary of engineering activity.
Share it directly with your team or stakeholders.

This lets developers spend more time building instead of documenting.

We Built Gitmore Around This Problem

Gitmore connects with GitHub, GitLab, and Bitbucket to generate AI-powered engineering reports automatically.

Instead of asking developers to write status updates, it turns repository activity into reports that can be shared through Slack or email.

The goal isn't to replace developers it's to remove repetitive reporting work so teams can focus on shipping software.

I'm curious:

How does your team handle weekly engineering updates today?

Manual reports?
GitHub Projects?
Jira dashboards?
Something else?

Git Reporting Tool - Automated Reports to Slack & Email

Turn commits and PRs into team updates automatically. Works with GitHub, GitLab & Bitbucket. AI-powered reports delivered daily or weekly. Free to start.

gitmore.io

We love to hear what's working (or not working) for your team.

Your Git History Is More Valuable Than You Think

Gitmore — Mon, 06 Jul 2026 19:42:58 +0000

Most engineering teams spend hours every week writing standups, sprint summaries, and weekly reports.

The funny part?

The repository already contains almost everything.

Every commit, pull request, merge, and release tells part of the story. The challenge isn't collecting the data, it's turning it into insights that everyone can understand.

That's where AI can help.

Instead of reading hundreds of commits, AI can summarize completed features, bug fixes, infrastructure changes, and release progress in seconds.

At Gitmore, we're building tools that transform GitHub, GitLab, and Bitbucket activity into clear engineering reports and project insights—so developers can spend less time writing updates and more time building.

What repetitive engineering task would you automate with AI?

https://gitmore.io/

AI-Powered Git Reports Without Reading Your Code

Gitmore — Mon, 29 Jun 2026 14:41:36 +0000

Most engineering reports are still manual.

Someone has to summarize what shipped, what changed, what's blocked, and who's working on what. The information already exists in Git—it just isn't easy to consume.

That's why we built Gitmore.

Gitmore connects to your GitHub, GitLab, or Bitbucket repositories and automatically generates clear, AI-powered reports from Git metadata (commit messages, PR titles/descriptions, timestamps, authors, etc.). Your source code is never accessed.

Some things you can do:

📊 Generate daily or weekly engineering reports automatically
💬 Ask questions in plain English:
What shipped this week?
Which PRs are waiting for review?
Who worked on authentication recently?
📧 Send reports directly to Slack or email
⚡ Set up in just a few minutes

The goal isn't to replace Git, it's to make repository activity understandable for engineers, managers, and stakeholders without spending time writing updates.

I'd love feedback from the DEV community:

Would this save time on your team?
What Git insights would you like an AI assistant to provide?
What would stop you from using a tool like this?

Check it out: https://gitmore.io

Looking forward to your thoughts! 🚀

Stop Writing Engineering Status Reports Manually

Gitmore — Thu, 25 Jun 2026 17:11:40 +0000

Developers spend too much time explaining what happened in their repositories.

Gitmore automatically converts GitHub, GitLab, and Bitbucket activity into AI-generated reports and delivers them to Slack or email. Track commits, PRs, merges, and team progress without chasing updates.

✅ AI-generated daily & weekly reports
✅ GitHub, GitLab & Bitbucket support
✅ Slack & email delivery
✅ AI-powered repository insights
✅ No source code access required

Spend less time reporting and more time shipping.

🚀 https://gitmore.io/

Stop Writing Engineering Status Reports

Gitmore — Tue, 23 Jun 2026 09:31:56 +0000

Most engineering teams already have the data they need in Git. The problem is turning commits, PRs, and repository activity into updates that stakeholders can actually understand.

That's why we built Gitmore.

Gitmore connects to your repositories and automatically generates AI-powered engineering reports, release summaries, and team updates. Instead of spending time collecting data and writing reports, teams get clear insights delivered automatically.

What Gitmore helps with
Weekly engineering summaries
Pull request and code review visibility
Release and sprint reporting
Team activity insights across repositories
Slack and email updates for stakeholders

The goal is simple: less manual reporting, more building.

🚀 Try Gitmore: https://gitmore.io/

What reporting tasks consume the most time on your team?

Stop Digging Through Commits to Understand What's Happening

Gitmore — Tue, 09 Jun 2026 12:31:30 +0000

If someone asked you right now:

What shipped this week?
Which PRs are waiting for review?
Who worked on the authentication service?
What changed during the last sprint?

Could you answer in under 30 seconds?

For most teams, the information exists, but it's scattered across commits, pull requests, reviews, and multiple repositories.

That's why we built Gitmore.

Gitmore turns Git activity into AI-powered reports and insights, helping teams understand what's happening without manually creating status updates.

It also includes Gitmind, an AI assistant that lets you ask questions about your engineering activity in plain English and get answers instantly.

✅ Connect GitHub, GitLab, or Bitbucket
✅ Generate automated engineering reports
✅ Track contributions and project progress
✅ Get answers from your Git history

We're interested in hearing how your team handles engineering visibility today.

What takes more time: writing status updates or finding the information needed to write them?

🚀 https://gitmore.io/

Gitmore: Stop Writing Engineering Status Updates by Hand

Gitmore — Mon, 08 Jun 2026 12:56:40 +0000

Most engineering teams already document everything in Git.

The problem is that commits, PRs, and merge requests are scattered across repositories, making it difficult to answer simple questions like:

What shipped this week?
Which PRs are blocked?
Who worked on the authentication feature?
What changed across all repositories?

Gitmore turns Git activity into AI-generated reports delivered automatically to Slack or email. It connects to GitHub, GitLab, and Bitbucket, tracks commits and PRs, and generates summaries that both engineers and non-technical stakeholders can understand. It also includes Gitmind, an AI assistant that lets you ask questions about your repository activity in natural language.

A few things we're focused on:

✅ AI-generated engineering reports
✅ Slack & email delivery
✅ GitHub, GitLab & Bitbucket support
✅ Natural-language queries with Gitmind
✅ No source code access, only Git metadata and events are processed

We're interested in how other teams handle engineering visibility today.

Do you rely on standups, dashboards, custom scripts, or something else? 🤔

🌐 https://gitmore.io/

Stop Writing Engineering Status Reports

Gitmore — Wed, 03 Jun 2026 14:41:04 +0000

Most engineering updates are already hidden in your Git activity.

Commits, pull requests, reviews, and merges contain the story of what your team is building—but turning that information into useful reports still takes time.

That's why we built Gitmore.

Gitmore automatically converts Git activity into AI-powered reports and team updates. It also includes Gitmind, an AI assistant that lets you ask questions about your engineering work in plain English:

What shipped this week?
Who worked on the authentication service?
Which PRs are waiting for review?
What changed in the last sprint?

Connect your GitHub, GitLab, or Bitbucket repositories and get instant visibility into development progress without manual reporting.

We're looking for feedback from developers, engineering managers, and startup teams.

What Git-related question would you want an AI assistant to answer?

🚀 https://gitmore.io/