Basegraph

The Problem

Today's AI coding agents waste time and tokens reading tens or hundreds of files, guessing at each step when given a complex task.

Agentic workflows are exploding, but every one of them hits the same wall: context.

Our Solution

We built Codegraph, a high-performance code-context engine that performs compiler-accurate code lookup and relationship mapping—calls, imports, implementations—in milliseconds.

It fetches only the exact context an agent needs, removing the guesswork and inefficiency of semantic search.

Our Philosophy

The software industry is racing toward a future of fully autonomous AI agents writing thousands of lines of code in isolation. We believe this overshoots both current AI capabilities and what developers actually need.

We're building for the present reality, not a distant fantasy. We believe developers should remain in the loop—understanding, learning from, and approving every change. AI should augment human capability, not replace human judgment.

Our approach centers on manageable collaboration: working in chunks developers can hold in their heads, having AI explain its reasoning, requiring it to prove correctness by referencing documentation, and encouraging it to ask questions rather than make assumptions. We want developers who use Basegraph to become better programmers, not just passive consumers of machine-generated code.

This philosophy isn't just about developer experience—it's about software quality and security. We believe the alternative path leads to mountains of unmaintained code slop, increased vulnerabilities, and systems no one truly understands. That's not the future we're building toward.

Relay

Our first product, Relay, is a CLI-based AI agent powered by Codegraph.

Proven to be 13x faster and 14x cheaper compared to leading coding agents at planning complex tasks, with zero hallucinations.

Our native code review bot catches issues before they reach pull requests, but it doesn't just analyze syntax—it understands the full context through our compiler backend Codegraph Engine. We also capture Jira and Linear issue descriptions, team discussions, session goals, todos, and learnings from past decisions, ensuring AI recommendations align with your actual intent and requirements.

Our Vision

We envision a world where AI amplifies developer capabilities without diminishing their agency or understanding. Where context isn't lost between tools and tickets. Where code quality improves through intelligent collaboration, not blind automation. And where every development team has an AI partner that enhances their skills rather than replacing them.

Basegraph is building the future of coding—one where humans and AI work in true partnership, producing better code and better developers.

For developers who think deeply. For teams that build intentionally. For organizations that value both velocity and quality.