Sourcegraph

Our co-founders Beyang Liu Quinn Slack giving a sneak peak of what we have been working on by showing Amp build, search and work on an existing repo all at once at SF meetup tonight at Salesforce.

If you want to find out where programming is going — come with us.

When running data-intensive services like code search engines, it's critical to monitor container memory. But what cAdvisor memory metrics should you use -- total usage, working set, or resident set size? Most online sources give conflicting recommendations. I wrote a post that clarifies what these metrics mean and explains how we design memory dashboards at Sourcegraph: https://lnkd.in/gUy5BKRA

Excited to announce our next in-person event in San Francisco: AI Dev Tools Night @ Salesforce Tower 🗼 Featuring awesome speakers: - Lindsay Rawitscher: Senior AI Customer Engineer at Salesforce - Beyang Liu: CTO & Co-founder of Sourcegraph, industrializing software development with AI agents - Sam Bhagwat: Co-founder of Gatsby and now leading Mastra.ai, YC W25's TypeScript AI framework - Jan Čurn: Founder of Apify, web automation and data extraction for AI applications - (MC) Madison Kanna: Senior Software Engineer at Walmart Global Tech & Creator of CodeBookClub Organized by: YK Sugi, Justin Dorfman, and Frances Coronel https://lnkd.in/geUz7Jk7

We're hiring for a number of positions at Sourcegraph, including: - SF-based software engineer (~$200,000 USD) - Software Engineer - Source (Remote, comp varies based on location) - People Operations Specialist (Austin, Denver, San Francisco, or Vancouver) and a lot more. The future of software engineering is agentic, and we're building this future. Come join us!

We're going live on March 13 to talk about Agents and agentic coding experiences with Sourcegraph as well as all the goodies that shipped with Sourcegraph 6.0. Come see what we've been working on. Register here: https://lnkd.in/gzUAueFj

Missed AI Dev Tool Night? Catch Solomon Hykes containerizing AI agents + killer demos from Sourcegraph, Structured Labs & Relari https://lnkd.in/gmrs2e7G

Great to see how strategic partnerships can lead to impactful solutions helping companies like Palo Alto Networks leverage AI to drive meaningful change while remaining secure and compliant.

At Sourcegraph, we have been helping large organizations with hundreds and thousands of developers understand, navigate, and write code in complex enterprise codebases, but complex codebases exist in organizations of all sizes. Starting today, you can self-serve Sourcegraph for your growing team and get the best features of Sourcegraph including: * Code Search - index up to 100 private and public repositories and have access to our powerful code search and search-based code navigation. * Context-enhanced AI Chat - understand and generate new code with the latest LLM models * Cody, AI coding assistant - combine the best of code search and AI capabilities with your IDE of choice to search, understand, and write code * Prompt Library - create and share reusable prompts across your entire organization. Pricing starts at $19/user/month and we're just getting started! Learn more and sign up at https://lnkd.in/dDxeBnE3

5 things we learned from shipping an AI coding agent at Sourcegraph: 1. Self-reflection works in conjunction with tool usage 2. When you deliver for your users, they'll deliver for you 3. To predict the future, learn the present well and then explore 4. You need a supportive ___. (Fill in the blank) 5. You can't ship it alone They might sound like cliches, but they're worth reiterating. Full video: