Cursor is the best AI code editor. Glue is the best codebase intelligence tool. Together, they create a workflow where you understand what to build before you start building it.
Here's the practical setup.
The Problem with Cursor Alone
Cursor can index your codebase and use it for context. But its indexing is optimized for code completion, not for understanding. It knows what your code looks like. It doesn't know:
- Why the code is structured this way
- Which files form a logical feature
- What past changes caused problems
- Who on your team understands each area
- What the blast radius of a change would be
This is fine for simple tasks. For complex tickets, Cursor generates plausible but context-free suggestions.
The Context-First Workflow
Step 1: Understand with Glue
Before opening Cursor, paste your ticket into Glue. Get:
- Affected files and functions
- Feature boundaries and dependencies
- Relevant past PRs and known issues
- Blast radius analysis
- Suggested implementation approach
Step 2: Plan with the Build Plan
Review Glue's build plan. It shows:
- Task 1: Modify X in file A (depends on nothing)
- Task 2: Update Y in file B (depends on Task 1)
- Task 3: Add tests for Z (depends on Tasks 1-2)
- Risk: File C has a null check that assumes old behavior
Step 3: Execute with Cursor
Now open Cursor with full context. You know exactly which files to modify, in what order, and what to watch out for. Cursor's AI suggestions are dramatically more useful because you're asking focused questions about specific files, not vague questions about unfamiliar code.
Step 4: Validate
Before committing, check the blast radius from Step 1. Did you modify everything that needs updating? Are there downstream consumers you missed?
Why This Works
The workflow separates two different types of AI work:
- Understanding (Glue): requires deep codebase knowledge, dependency graphs, git history, feature boundaries. This is a knowledge graph problem.
- Generation (Cursor): requires code pattern knowledge, language fluency, and local file context. This is a language model problem.
Neither tool does the other's job well. Glue can't write code. Cursor can't map feature boundaries. Together, they cover the full development workflow.
The Time Math
Without this workflow:
- 60 min understanding the ticket and codebase
- 30 min planning the approach
- 120 min writing and debugging code
- Total: 210 min
With Glue + Cursor:
- 5 min reviewing Glue's build plan
- 10 min adjusting the plan based on experience
- 80 min writing code with Cursor (faster because you know exactly what to write)
- Total: 95 min
55% time reduction. Not from typing faster — from eliminating the understanding overhead.
Originally published on glue.tools. Glue is the pre-code intelligence platform — paste a ticket, get a battle plan.
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