DEV Community: Gitmore

We Built Gitmore to Make Engineering Updates Less Painful

Gitmore — Fri, 29 May 2026 09:58:36 +0000

At Gitmore, we noticed most teams still spend too much time digging through PRs, commits, Slack threads, and standup messages just to understand what shipped.

So we built a platform that connects to GitHub, GitLab, and Bitbucket and automatically generates:

AI-powered engineering summaries
Daily & weekly reports
PR and commit digests
Team activity insights
Natural-language repo search

You can ask questions like:

“What shipped this week?”
“Who worked on auth?”
“Which PR introduced the issue?”

Our biggest challenge was transforming noisy git activity into structured data AI could reliably understand.

We’d love feedback from developers and engineering teams:
How do you currently keep track of engineering progress internally?

Built an AI tool that turns Git activity into engineering reports

Gitmore — Thu, 28 May 2026 10:02:03 +0000

Most dev teams still spend time writing:

weekly updates
sprint summaries
async standups
stakeholder reports

So we built Gitmore.

It connects to GitHub/GitLab and automatically generates AI-powered engineering reports from commits, PRs, reviews, and deployment activity.

We also added Gitmind, an AI assistant that lets you ask questions like:

“What shipped this week?”
“Who worked on the auth service?”
“Which PR introduced the regression?”

One important thing for us:
Gitmore doesn’t need access to your source code, only Git metadata.

Would love feedback from other developers:

What reporting tasks do you hate the most?
What would make this actually useful for your team?

I Built an AI Tool That Turns Git Activity Into Engineering Reports

Gitmore — Tue, 26 May 2026 11:38:50 +0000

Keeping track of what actually shipped every week is harder than it should be.

So we built Gitmore, a platform that connects to GitHub, GitLab, and Bitbucket to automatically generate engineering reports from commits, PRs, and repo activity.

It also includes an AI agent called Gitmind where you can ask things like:

“What shipped this week?”
“Who worked on the auth service?”
“Which PR introduced the breaking change?”

The goal is simple:
less manual reporting, more visibility for teams.

Would love feedback from developers and engineering teams:

What would make this genuinely useful for you?
Would you trust AI-generated engineering summaries?
What integrations would you want next?

Gitmind: AI agent for GitHub, GitLab & Bitbucket activity

Gitmore — Sun, 24 May 2026 18:14:42 +0000

Keeping track of what’s happening across repositories is painful.

So we built Gitmore and its AI agent, Gitmind.

Gitmind analyzes Git activity and lets you ask questions like:

“What shipped this week?”
“Which PRs are waiting for review?”
“What did the frontend team work on?”
“Summarize today’s commits”
Features
AI-generated engineering reports
Daily & weekly summaries
Cross-repo insights
Slack/email delivery
GitHub, GitLab & Bitbucket support

One important thing:
Gitmind does not access your source code, only Git metadata like commit messages, PR titles, branches, authors, etc.

We’re looking for feedback from developers and engineering teams 👀

👉 https://gitmore.io/

Gitmore: AI-generated engineering reports from your Git activity

Gitmore — Thu, 21 May 2026 12:07:30 +0000

Keeping track of what an engineering team actually shipped is harder than it should be.

Commits are everywhere.
PRs pile up.
Managers ask for updates.
Developers waste time writing summaries instead of coding.

So we built Gitmore.

Gitmore connects to GitHub, GitLab, and Bitbucket and automatically generates readable AI-powered engineering reports from commits and pull requests.

Features
AI-generated daily & weekly reports
Slack + email delivery
PR and commit monitoring
Natural language repository queries with Gitmind
Works without requiring source code access

Example prompts:

“What shipped this week?”
“Which PRs are blocked?”
“Who worked on authentication recently?”
Why we built it

We were tired of manual reporting and status updates taking hours every week.

Gitmore started as an internal tool to simplify communication between developers, managers, and stakeholders, then evolved into a standalone platform.

Biggest challenge

One of the hardest parts was creating a unified event system across GitHub, GitLab, and Bitbucket. Every platform structures activity differently, so normalizing commits, merges, reviews, and PR events was a major engineering challenge.

Looking for feedback

We’d love feedback from developers and engineering teams:

Would AI-generated reports help your workflow?
What integrations would you want next?
What would make this genuinely useful for your team?

🔗 https://gitmore.io/

Gitmore: AI-Generated Git Reports for Engineering Teams 🚀

Gitmore — Wed, 20 May 2026 11:08:44 +0000

Writing engineering updates manually is repetitive and time consuming.

So we built Gitmore a tool that connects to GitHub, GitLab, and Bitbucket to automatically generate AI-powered development reports.

Features
AI summaries from commits & PRs
Slack + email reports
GitHub, GitLab & Bitbucket support
Daily/weekly automated updates
“Gitmind” AI assistant for repository insights

Ask questions like:

“What shipped this week?”
“Which PRs are blocked?”
“Who worked on this feature?”

The goal is simple: reduce reporting overhead and improve team visibility.

Would love feedback from the dev community 👀

👉 https://gitmore.io/

Gitmore: AI-powered engineering reports from your Git activity

Gitmore — Sun, 17 May 2026 18:32:45 +0000

Developers already write updates through commits and PRs, so we built a tool that turns that activity into clear engineering reports automatically.

👉 https://gitmore.io/

What it does
Connects to GitHub, GitLab, or Bitbucket
Generates daily/weekly AI summaries
Creates async standups automatically
Helps founders & managers understand what shipped without digging through repos
Why we built it

Most engineering updates are repetitive:

“what changed this week?”
“what did the backend team ship?”
“why is this feature delayed?”

The information already exists in Git activity, but it’s scattered across commits, PRs, and branches.

Gitmore organizes it into readable updates for teams.

Would love feedback from the dev community:

Would this be useful for your workflow?
What would you improve?
What Git insights would you want AI to generate?

Gitmore: AI-Powered Git Reporting for Engineering Teams

Gitmore — Thu, 14 May 2026 09:52:55 +0000

At Gitmore, we kept seeing the same issue across engineering teams:

A huge amount of work goes into status updates, sprint summaries, and explaining progress even though the data already exists inside Git.

So we built Gitmore
.

Gitmore connects to GitHub, GitLab, and Bitbucket, then transforms repository activity into AI-generated reports for Slack or email.

Instead of digging through commits and PR notifications, teams get readable updates about:

what shipped
ongoing work
blocked PRs
contributor activity
repository progress

We also built Gitmind, an AI assistant that lets teams query repository activity in natural language:

“What shipped this week?”
“Who worked on authentication recently?”
“Which PRs are blocked?”

One important thing:
Gitmore does not access repository source code. It only uses repository metadata like commit messages, PR titles/descriptions, timestamps, and activity events.

The goal is simple:
Reduce reporting overhead without becoming another project management platform.

We’d genuinely love feedback from the dev community:

What insights would actually be useful from Git activity?
What reporting workflows still feel painful?
What would make a tool like this valuable for your team?

👉 https://gitmore.io

AI Reports From Your Git Activity

Gitmore — Wed, 13 May 2026 13:23:44 +0000

Most engineering teams already track everything in Git:

commits
PRs
merges
reviews

But somehow, teams still spend hours every week writing updates manually.

So we built Gitmore: a tool that turns GitHub, GitLab, and Bitbucket activity into readable AI-generated reports.

It can:

generate daily/weekly summaries
send reports to Slack or email
answer questions like:
“What shipped this week?”
“Which PRs are blocked?”
“Who worked on auth recently?”

One thing we learned while building it:
developers don’t really want more dashboards, they want clarity with less reporting overhead.

Would love feedback from the dev community:

Would you trust AI-generated engineering summaries?
What’s your current workflow for team reporting?
What would make a tool like this genuinely useful for you?

👉 https://gitmore.io

Gitmore: AI-Powered Engineering Reports from GitHub, GitLab & Bitbucket

Gitmore — Tue, 12 May 2026 19:08:33 +0000

Tired of asking “what shipped this week?” or writing manual dev updates? Gitmore turns commits + PRs into clean daily/weekly summaries sent to Slack or email.

✨ What it does:

AI summaries of team progress
Automated reports
Works with GitHub, GitLab, Bitbucket
No source code access metadata only

Built for founders, PMs, and engineering teams who need visibility without interrupting developers.

Would love feedback from the dev community 👇
What feature would make this a must-have for your workflow?

🔗 https://gitmore.io

Built Gitmore to make engineering updates easier

Gitmore — Mon, 11 May 2026 10:36:58 +0000

Gitmore connects with GitHub, GitLab, and Bitbucket to turn commits, pull requests, and repo activity into clear AI-powered reports for teams. Instead of chasing updates or writing manual summaries, teams get instant visibility on what’s shipping and what’s blocked.

Still early and improving fast would love feedback from developers and team leads.

Check it out: https://gitmore.io

devcommunity #programming #git #saas #productivity #buildinpublic

Gitmore : Turn GitHub activity into AI-powered insights

Gitmore — Thu, 07 May 2026 15:57:46 +0000

We built Gitmore
to help engineering teams finally understand what actually shipped.

Instead of digging through commits and PRs, Gitmore turns your Git activity into:

🧠 AI weekly/daily summaries
📊 Breakdown of features, fixes, refactors
💬 Chat assistant (“what changed this week?”)
📩 Slack/email automated reports

No code access only Git metadata (commits, PRs, authors).

Goal: replace manual status updates with something automatic and readable.

buildinpublic #devtools #github #ai #productivity #saas #startups