Developers reuse code from other projects, but the workflow is messy, copying files, juggling workspaces, or feeding context to AI tools. Agent Context lets you attach external projects as clean references inside your workspace without polluting your repo. It also makes those references visible to AI coding tools, improving how they understand and generate code.
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I built Agent Context out of a frustration I kept running into.
I’d constantly have useful code sitting in other projects. I'm a hacker so I have old services, experiments, internal tools but actually using them to guide my AI was messy. I’d either copy code around, open multiple workspaces, or try to explain everything manually to AI tools.
None of it felt right.
At the same time, I’ve been leaning more into AI-assisted development, and it became obvious that the biggest limitation isn’t the model, it’s the context you give it.
So I started experimenting with a simple idea:
What if you could treat external projects as first-class “reference context” inside your workspace?
Agent Context is the result.
It lets you attach external folders without polluting your repo, and makes those references visible, not just to you, but to AI tools as well.
It’s a small utility, but it’s changed how I work across projects and how I think about giving AI better context.
I’d really love feedback, especially from anyone using AI tools heavily in their workflow
About Agent Context on Product Hunt
“Attach reference projects for AI coding tools”
Agent Context launched on Product Hunt on April 23rd, 2026 and earned 62 upvotes and 1 comments, placing #34 on the daily leaderboard. Developers reuse code from other projects, but the workflow is messy, copying files, juggling workspaces, or feeding context to AI tools. Agent Context lets you attach external projects as clean references inside your workspace without polluting your repo. It also makes those references visible to AI coding tools, improving how they understand and generate code.
On the analytics side, Agent Context competes within Productivity, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Agent Context performed against the three products that launched closest to it on the same day.
Who hunted Agent Context?
Agent Context was hunted by gareth marland. 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.
For a complete overview of Agent Context including community comment highlights and product details, visit the product overview.
gareth marland