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LLM inference in C/C++. Contribute to ggml-org/llama.cpp development by creating an account on GitHub.
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Sourcegraph Cody Blog
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Agents on live hardware: reason where you must, engineer everywhere else
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The autonomous codebase
Five years into the AI-assisted coding experiment, I rarely find myself saying "wow" anymore. We, as an industry, have honed the prompt-to-code pipeline to just about the finest point imaginable.
Sourcegraph Cody Blog5 min readCoding agents usually can't price on outcomes. Ours can.
Agentic Batch Changes is now available, and we price it on outcomes: you only pay for changesets that merge.
Sourcegraph Cody Blog4 min readIntroducing Agentic Batch Changes: the frontier agent for code change at scale
Codebase-wide changes across hundreds or thousands of repositories can now be run by one engineer.
Sourcegraph Cody Blog5 min readA smarter way to run code migrations with less LLM context
Deep Search runs scripts in a sandbox around Sourcegraph search APIs, so a migration audit returns a CSV checklist instead of thousands of files worth of tokens.
Sourcegraph Cody Blog3 min readHow to evaluate Sourcegraph on your own codebase
Better code retrieval does not automatically mean better task completion. Here is how to measure retrieval, agent performance, and cost without confusing one for another.
Sourcegraph Cody Blog12 min readCompliance-first AI: proving agent provenance for regulated engineering teams
Regulated engineering teams must prove which files an AI agent read before it shipped a change. How scoped retrieval turns agent context into an audit trail.
Sourcegraph Cody Blog7 min readCode Finder: fast, efficient code search for coding agents
Code Finder runs its own search loop and hands your coding agent the exact files and line ranges, faster and cheaper than the agent searching on its own.
Sourcegraph Cody Blog2 min readThree places enterprise security breaks down at codebase scale (and why your current tools don't cover them)
Vulnerability remediation breaks down at codebase scale: AI code without context, detection coverage gaps, and fixes that take weeks across 10,000 repos.
Sourcegraph Cody Blog9 min readDetection in one repo isn't a security posture
A finding in one repo is a fact. A security posture means knowing whether that same problem exists everywhere else, and fixing it before it spreads.
Sourcegraph Cody Blog5 min readAgentic Batch Changes is now in public beta
Agentic Batch Changes is now in public beta: an AI agent that scopes, executes, and ships large-scale code migrations across hundreds of repositories until every PR is mergeable.
Sourcegraph Cody Blog5 min readOn owning a codebase, and why it may be the hardest job in software
AI coding agents are producing more code than ever, but the world still runs on massive, decades-old codebases. Why owning and understanding them may be the hardest job in software.
Sourcegraph Cody Blog7 min readWhy your migration tools are failing your engineers
The bottleneck in most large-scale migrations is not the engineers or the plan. It is that the tools cannot see the whole codebase.
Sourcegraph Cody Blog4 min readThe hidden cost of code that nobody touches
Every engineering org has the files nobody wants to open. Here's what that actually costs.
Sourcegraph Cody Blog3 min readSourcegraph MCP server and a cheaper model beat a Mythos-class model alone
On nine CodeScaleBench tasks designed to evaluate agent effectiveness in large codebases, Claude Sonnet 4.6 with the Sourcegraph MCP server outscored Fable 5, winning six of nine at roughly half the cost for each point of quality.
Sourcegraph Cody Blog3 min readAutomating Security Triage with HackerOne and Deep Search
How Sourcegraph uses HackerOne webhooks and Deep Search to automatically validate, triage, and investigate vulnerability reports before engineers start their day.
Sourcegraph Cody Blog4 min readSecurity Automation Evolved: From SlackOps to Programmatic SIEM Triage (Part 1/2)
How Sourcegraph's security team evolved from a Slack-based triage bot to programmatic SIEM detection with expression-based auto-close rules.
Sourcegraph Cody Blog4 min readDependency prefixes are a supply chain risk: let's fix them
Dependency prefixes like ^ and ~ make updates easy, but the version ranges they create widen the path a compromised package can take into production.
Sourcegraph Cody Blog6 min readHow we're using Sourcegraph and a Slack bot to detect vulnerabilities and react quickly
A Slack bot triages every GitHub advisory, posts a rocket-to-trigger ask in the channel, and on one human reaction runs the full content pipeline: detection queries, blog scaffold, social drafts, a 35-second auto-cut demo.
Sourcegraph Cody Blog13 min read
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