Sourcegraph

Use Case of the Week: Safely make large-scale code changes Refactoring one file is easy. Refactoring hundreds is where things break. Changes stall because teams can’t confidently identify every place that needs to be updated. Miss one edge case, and you introduce risk. With Sourcegraph, you can find all instances of a pattern across your entire codebase, then apply changes at scale. Batch Changes lets you update code across repositories with full visibility and control. No manual hunting. No risky guesswork. Just safe, coordinated updates. Ship changes faster without losing control. Check out more use cases here: https://lnkd.in/gPQT2w_f

Coding agents don’t usually fail because of the model. They fail because enterprise systems are complex. Context drift. Broken workflows. Review bottlenecks. Agents navigating the wrong code. Join us live on June 3 to explore what it actually takes to run coding agents reliably in enterprise codebases. Register now → https://lnkd.in/esNQ9BFJ

We are thrilled to welcome Matthew Riley, Sarah Burke, Nic Galluzzo, Aaron Landis, Lauren (Davis) Preston, Eric Hammons, and Nick Roetter to our Revenue and Marketing teams! 🎉Together, they'll play a key role in driving Sourcegraph's go-to-market efforts, partnering closely with customers, and helping scale our revenue organization. We're so excited to have them on board and can't wait to see the impact they'll make! 🚀 "Joining Sourcegraph has been one of those rare experiences where the energy you feel during the interview process actually matches the reality once you're inside. Everyone I've met is sharp, collaborative, and genuinely bought into what we're building together. What excites me most is being part of a company where the product actually solves a real problem for developers at scale. I can't wait to get in front of prospects, learn what's slowing their teams down, and show them what's possible." - Eric Hammons Want to join them? We're hiring: https://lnkd.in/gTV66Z4H 

Use Case of the Week: Understand unfamiliar code faster Large codebases aren’t just big. They’re interconnected. A single change can impact dozens of services, dependencies, and edge cases. The challenge is not finding code. It’s understanding how it all fits together. With Deep Search, you can ask: What does this service do? Where is this function called? What depends on this API? It maps the logic across repos so you can see the full picture before making a change. Better understanding. Fewer mistakes. More confident development. Check out more use cases here: https://lnkd.in/gPQT2w_f

NEW blog post: lessons learned on how to make a REALLY great enterprise Slack 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. https://lnkd.in/gMhKhx3J

Use Case of the Week: Keep code documentation current Keeping code documentation up to date is still more manual than it should be. Developers often have to dig through recent code changes, diffs, and repo history just to write a simple update. It takes time, breaks focus, and usually means docs fall behind. Sourcegraph helps solve that. With Sourcegraph’s MCP server, your agent can understand the full codebase, check relevant code and history, and generate better documentation without needing the repo cloned locally. Less manual research. Fewer stale docs. More time shipping.

Large codebases have their own challenges. AI is creating more code than ever, increasing complexity across systems. We’re breaking down how teams drive initiatives like migrations, debugging, and AI adoption at scale. April 29 at 10 AM PT Register: https://lnkd.in/gWUkpeyD

Use Case of the Week: Find where testing is being bypassed Code coverage numbers do not mean much if parts of your pipeline are being skipped. A single ignored test or bypassed CI stage can let bugs, regressions, or security issues reach production. The hard part is finding every place that is happening across your codebase. With Deep Search, you can ask a simple question like: which repos are bypassing or skipping CI test stages? It returns the matches so your team can quickly audit risk, investigate exceptions, and tighten enforcement. Better visibility into testing gaps means better code quality and fewer surprises in production. Check out more use cases here: https://lnkd.in/gMBM4qeU

Use Case of the Week: Documentation without the busywork Keeping docs updated shouldn’t require a scavenger hunt through diffs, recent changes, and repo history. Sourcegraphs’s MCP server gives agents the context they need to understand the codebase and generate better documentation without cloning the repo locally. Less manual work. More accurate docs. More time to ship. Check out all of our 100 use cases here: https://lnkd.in/gMBM4qeU #UseCaseOfTheWeek #AI #DevTools #Documentation #Engineering #100usecases