Sourcegraph

Take control of your codebase.

[Sourcegraph @Sourcegraph]

Today, we're announcing Sourcegraph 7.0, a release that marks the beginning of a new chapter for our company and product.

Over the past several releases, we've shifted our focus. We're doubling down on being the intelligence layer that developers and AI agents rely on to navigate, understand, and operate on large codebases.

https://t.co/mgNiHOakno

[Sourcegraph @Sourcegraph]

Hope you’re enjoying Microsoft Build!

If you use GitHub Copilot, you can connect it to the Sourcegraph MCP server to get context from all your repositories. This works even for your code on GitLab.

[Sourcegraph @Sourcegraph]

Keep track of Deep Search conversations shared with you.

We didn't stop there, check out the changelog: https://t.co/eRol9evk77

[Gas Town Hall @gastownhall]

Gas City maintainer @sgjarmak is running a webinar on building a software factory in enterprise codebases next week. She'll focus on ‘the three asymmetries’ and giving examples using Gas City!

Sign up today! https://t.co/kn71fa4qv2

#recommended !

[NetSuite @NetSuite]

See how AI software company @Sourcegraph connects its NetSuite data to Claude to surface financial anomalies faster, ask questions in natural language for real-time answers, and collaborate more effectively. https://t.co/Rlh5PJ9Tf6

[AI Native Dev @ainativedev]

.@Sourcegraph analysed 1,281 coding agent runs across large enterprise codebases and found the bottleneck often wasn’t the model — it was context retrieval and navigation.

Agents struggled once codebases grew large enough: pulling in the wrong files, thrashing between tools, and making locally correct changes that broke systems elsewhere.

One stat says a lot: a task that took one agent 96 tool calls and 84 minutes dropped to five calls and under five minutes with better retrieval infrastructure.

The takeaway is this: coding agents need far better context and navigation layers around them to operate reliably in production.

🔗 Read the full story here: https://t.co/LsatesrRDC

[Sourcegraph @Sourcegraph]

@deepwatrcreatur Cool. Well, we appreciate the video feedback. Anything else you want us to cover?

[Sourcegraph @Sourcegraph]

@deepwatrcreatur nice! So are you a goose user?

[Sourcegraph @Sourcegraph]

Use Case of the Week: Understand unfamiliar code faster

https://t.co/ADhx9op576

[Sourcegraph @Sourcegraph]

@adarshgorur Nice! Anything else? Would love to share it with the team. :)

[Dan Adler @DanielNealAdler]

NEW: lessons learned on how to make a REALLY great enterprise @SlackHQ bot for AI products from our experience @Sourcegraph

Touches on interactive and real-time feedback (critical when agents are doing asynchronous work), summaries and previews for the Slack UI, rate limiting, and more.

Thanks @juliaxu_xu__ @JasonHawkHarris & Emi for spreading the knowledge

https://t.co/5zfmmv1Sk5

[Sourcegraph @Sourcegraph]

@shrikant__j @DanielNealAdler Deep-ish dive =)

https://t.co/uZh4xrmzzn

[Sourcegraph @Sourcegraph]

@sgjarmak @qdrant_engine @mlopscommunity humans🤝agents

[Sourcegraph @Sourcegraph]

https://t.co/nOHzxqO3Cl

[Sourcegraph @Sourcegraph]

You can now use search contexts in Deep Search to ask questions within a set of repositories.

[Sourcegraph @Sourcegraph]

@taiyab :chefs-kiss:

[Taiyab Raja @taiyab]

We've just launched a new homepage ✨

https://t.co/RtN3rrpect

[Sourcegraph @Sourcegraph]

https://t.co/fOeEUpKSmY

[Sourcegraph @Sourcegraph]

Deep Search can now search Git tags, ancestry, and commits on any branch to pinpoint where a change lives in your Git history.

[Sourcegraph @Sourcegraph]

https://t.co/y9iCrNeILt

[Sourcegraph @Sourcegraph]

We just launched Smart Hover Summaries in beta. It reads your code to give you quick access to show key architectural details on hover.