Augment Code

Most AI coding tools hallucinate in large codebases. The fix isn't a better LLM. It's context. We built proprietary embedding models that understand your codebase semantically — retrieving exactly what's relevant to your prompt. Get a peek of the architecture behind Augment Code's Context Engine. Watch the full webinar on-demand here: https://lnkd.in/grWrzVT3

How do you integrate AI into your workflows? Which model for what? Join Augment engineers for an interactive live session on Thursday, January 15, at 10 AM PT. We’ll discuss: → Model selection → AI implementation strategies → Real-world patterns → Live Q&A Grab your favorite morning beverage and join the conversation: https://lnkd.in/g3CD8jxb

Partnering with Snyk, we are solving the manual security bottleneck that's impacting AI development velocity. Our integration embeds Snyk's security intelligence directly into Auggie CLI via MCP. Now teams can: → Trigger security scans programmatically in CI/CD pipelines → Get fix recommendations for vulnerabilities → Automate SAST and SCA checks in pre-commit hooks → Reduce mean time to remediate from weeks to minutes Security becomes a built-in part of your development loop—not a manual gate that slows shipping.

Software engineering is more than code generation. But a lot of teams are still treating AI as if it starts and ends there. That mindset shows up pretty quickly: • PR velocity goes up, but confidence goes down • More LGTMs, fewer real reviews • Systems get harder to reason about, not easier The problem isn’t that AI writes bad code. It’s that speed has outpaced context. We didn’t break code quality with AI. We broke the assumptions our review process was built on. Engineering is a system. If you dramatically increase output without strengthening your quality checks, the debt will compound quietly. That's why at Augment Code we released our best-in-class code review app, to help teams scale AI adoption without accumulating tech debt. Check out the article below for more thoughts: 👉 https://lnkd.in/ghFRcdse

The Augment Code CLI team has shipped so many features in the last few months that you might have missed, here's a recap: Sub-Agents: Tell auggie to parallelize work and it spins up specialized sub-agents for different paths in your codebase. Each gets a custom prompt, then auggie synthesizes the best results. Session Management: Resume any previous session with auggie --resume Prompt Queue: Queue up prompts while the agent is working. Once the current task completes, the next one fires automatically. Edit the queue anytime with /queue. Ask Mode: Type # or /ask to limit tool calls auggie answers questions without touching your files. Faster responses when you just need information. Bash Mode: Prefix with ! to run any shell command directly from the prompt. Quick ls, open Finder, whatever you need. ACP Mode + SDK: Use auggie inside Zed, JetBrains, or NeoVim via the Agent Client Protocol. Or build your own automations with the TypeScript/Python SDK. Full walkthrough in the video.

How do you actually integrate AI into your workflows? When does model choice actually matter vs. when is it just marketing? Join Augment engineers on Thursday, January 15 at 10 AM PT for an informal fireside chat about model selection, implementation strategies, and getting AI to work in practice. Perfect for developers exploring AI tools or already using Augment and wanting to optimize. Come with questions. Leave with answers. Save your spot: https://lnkd.in/g3CD8jxb

We’re excited to partner with Snyk 🚀 Together, we’re making it straightforward for Snyk customers to extend their existing security standards into Augment’s AI-native development workflow. Learn more about the Snyk + Augment integration below 👇

We just rebuilt the entire state management system for Augment Code’s VS Code extension. Why does this matter for you? Because when state management breaks, your workflow breaks. Authentication that drops mid-session. File changes that don't sync. Code suggestions that appear at the wrong time. We rebuilt our foundation with Redux-Saga to eliminate these issues: * Your authentication stays solid across long sessions * File system operations never get out of sync * AI suggestions appear exactly when they should You shouldn't have to think about whether your tools will work. Read how we did it: https://lnkd.in/gqGkXZxb