Augment Agent is the AI pair programmer that deeply understands your codebase. Uses Memory, Tools (MCP & Native), 200K context. #1 SWE-bench approach open-sourced. Available for VS Code and JetBrains.
Hi everyone!
Check out Augment Agent, a new AI pair programmer designed specifically for the challenges of real-world software engineering, especially within large, complex codebases where many AI tools often fall short.
Augment's core focus is deep context. Their "Context Engine" aims to give the agent a comprehensive understanding of your entire engineering ecosystem – code history, documentation, tickets, even past conversations. It also introduces:
🧠 Memories: The agent learns your coding style, preferences, and project specifics over time, persisting across sessions.
🛠️ Extensive Tool Integration: Supports the Model Context Protocol (MCP) for broad connectivity and includes built-in Native Tools for essential platforms like GitHub, Jira, Notion, and Linear.
↔️ Large Context Window: Handles up to 200K tokens, crucial for complex tasks.
📸 Multimodal Input: Accepts screenshots and Figma files to help with UI implementation or bug fixing.
⏪ Code Checkpoints: Automatically saves progress for easy rollbacks if needed.
🤖 Auto Mode: An option for the agent to operate more autonomously.
Impressively, the team achieved the #1 spot on the SWE-bench verified leaderboard using a specific agent setup (combining Claude 3.7 and O1) and has open-sourced their implementation for that benchmark, showing how they did it.
Augment Agent integrates with VS Code and JetBrains.
About Augment Agent on Product Hunt
“AI pair programmer that understands your codebase”
Augment Agent launched on Product Hunt on April 14th, 2025 and earned 155 upvotes and 3 comments, placing #11 on the daily leaderboard. Augment Agent is the AI pair programmer that deeply understands your codebase. Uses Memory, Tools (MCP & Native), 200K context. #1 SWE-bench approach open-sourced. Available for VS Code and JetBrains.
On the analytics side, Augment Agent competes within Open Source, Artificial Intelligence, GitHub and Development — topics that collectively have 581.5k followers on Product Hunt. The dashboard above tracks how Augment Agent performed against the three products that launched closest to it on the same day.
Who hunted Augment Agent?
Augment Agent was hunted by Zac Zuo. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Zac Zuo