Cursor × FedEx
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For FedEx · Prepared for Jim Connolly · June 2026

Accelerate FedEx application development without disrupting critical operations.

Cursor helps your teams pull the business rules out of legacy Oracle PL/SQL and rebuild them in Java, then test and certify the result, so FedEx can be off Oracle by 2029 without losing decades of operational logic.

See the use cases Model the ROI
Who is Cursor

The AI platform professional engineering teams build on.

Cursor brings AI agents, Tab, Cloud Agents, and automated review together in one platform, so engineering teams build software with AI across the full lifecycle, from plan to deploy. It is a platform, not a single-model add-on, and it is built for enterprise security and governance from the ground up.

64%
of the Fortune 500 use Cursor
50,000+
enterprises build on Cursor
100M+
lines of enterprise code written per day
How we differentiate

Three things that set Cursor apart.

Model flexibility

No single-vendor lock-in

Use frontier models from multiple providers plus Cursor's own model, and route each task to the best one. The best model for a given job keeps changing. Cursor lets your teams move with it instead of betting on one vendor.

Purpose-built platform

Context across the whole codebase

Semantic search over your full codebase keeps context across plan, write, review, test, and deploy. Cursor's per-model harness and agents are tuned for real engineering work, not just autocomplete.

Enterprise grade

Security and governance built in

Privacy Mode, SOC 2, SSO, and admin controls over spend and model access come standard, so adoption scales without losing control.

Analyst recognition

A Leader in the 2026 Gartner Magic Quadrant.

Gartner Magic Quadrant for Enterprise AI Coding Agents, April 2026, showing Cursor positioned in the Leaders quadrant with the highest completeness of vision.

Cursor was named a Leader in the inaugural Gartner Magic Quadrant for Enterprise AI Coding Agents, with the highest completeness of vision of all vendors evaluated.

Read the report
Source: Gartner, Magic Quadrant for Enterprise AI Coding Agents, April 2026. Gartner and Magic Quadrant are registered trademarks of Gartner, Inc. and/or its affiliates and are used herein with permission. Gartner does not endorse any vendor, product, or service depicted.
Why this matters to FedEx

These are not generic apps. They are core operational systems.

FedEx's operations run on roughly 500,000 lines of Oracle PL/SQL that has to be gone by the 2029 deadline. With limited deployment windows, production rollout realistically starts in late 2027 and runs through 2028, so the real clock is tighter than the date suggests. The plan is a clean rebuild in Java, with business rules extracted from the code and dossier specs, not a line-by-line port. Done right, you avoid carrying brittle architecture, and its runaway cost, into the cloud.

~500k
Lines of Oracle PL/SQL to replace
50%+
Of capacity stuck on keep-the-lights-on
2029
Oracle exit, with rollout starting in 2027
High-value use cases

Where Cursor earns its keep on day one.

Each use case is paired with a published result from a comparable enterprise engineering team.

Oracle exit

~500k lines of PL/SQL to Java

Rebuild roughly 500,000 lines of Oracle PL/SQL into modern Java applications, driven by extracted business rules and dossier specs, on track to be off Oracle by 2029.

Amplitude ships 3x more production code with Cursor.
Business rule extraction

Preserve the logic, not just the code

Cursor reads the existing PL/SQL and surfaces the business rules buried inside it, using your dossier specs as input, so the logic that runs operations is captured before anything gets rebuilt.

Dropbox indexed over 550,000 files to build an AI-native SDLC.
Rebuild in Java

A rebuild, not a line-by-line port

From the extracted rules and your specs, Cursor helps generate the new Java applications, so a smaller team can tweak, test, certify, and deploy on the path off Oracle.

National Australia Bank accelerated legacy migrations with Cursor.
Cloud & platform migration

Move migration work faster

Cursor accelerates code changes, dependency mapping, documentation, and test creation for migration initiatives such as Azure or hybrid cloud modernization.

Salesforce accelerated velocity 30%+ and shipped higher-quality code.
Review & test

Unblock where the train stalls

Review and testing are the bottlenecks slowing the release train today. Cursor generates unit, regression, and validation coverage around critical logic, and Bugbot reviews every change before it ships.

PlanetScale protects production reliability with Bugbot.
Onboarding & knowledge transfer

Ramp new and rotating engineers faster

Cursor helps new or rotating engineers understand unfamiliar applications faster, reducing ramp time and the risk that comes with handoffs across a large, distributed org.

Stripe rolled out a consistent Cursor experience for 3,000 engineers.
The principle

Modernization, not conversion.

This is not a line-by-line port of PL/SQL into Java. It is extracting the business rules, rebuilding clean Java apps from your dossier specs, and moving toward true agentic development: people own the prompts and specs, AI does the writing, and a smaller team reviews, tests, certifies, and deploys. The bigger shift is building the higher-level agents that run the factory itself, so the migration keeps producing and stays maintained going forward. It can even reach past engineering, so operators answer their own operational questions with AI instead of waiting on a new app for every use case.

Proven at scale

Shipped results from enterprise engineering teams.

How engineering leaders at Intuit, DoorDash, and Atlassian are adopting AI coding.

3x
more code committed across 30,000 developers
NVIDIA
90%
faster from idea to production
Coinbase
2x
PR throughput with Cloud Agents
Faire
Trusted by engineering teams at
NVIDIAStripeSalesforcePayPalSamsungDropbox
And across transportation & logistics
MaerskNorfolk SouthernRXOHertzAir CanadaSIXT
Business value

What it adds up to.

The outcomes a director over four operational teams can take to the rest of the org.

Compress the rewrite

A migration-factory model turns a multi-year PL/SQL rewrite into a repeatable pipeline.

Free the 50%+ on keep-the-lights-on

Hand routine maintenance to agents and put scarce capacity back on the migration.

Unblock review and test

Move faster where the release train actually stalls today.

Avoid runaway cloud cost

Rebuild clean instead of lifting brittle PL/SQL architecture into the cloud unchanged.

Hit 2029 with buffer

Start rollout in 2027 and finish early, inside FedEx's limited deployment windows.

Less manual admin

Cut the documentation and process overhead weighing on developers.

ROI projection

Model it for your teams.

An illustrative, attribution-based estimate. Move the sliders to match your rollout. Defaults reflect a four-team starting point, not a full-company deployment.

Projected annual value
$2.7M
Gross productivity value$4.5M
Estimated Cursor cost$146K
Net annual value$2.7M
Return on investment18×
Illustrative model only. Gross value = developers × fully-loaded cost × velocity uplift. Net applies an attribution discount. Cursor cost basis is an estimate of roughly $122 per developer per month ($40 seat + $50 usage + $32 review). Actual results vary by team and codebase.
Pilot recommendation

A focused 30 to 45 day pilot with one application team.

Scope it to a single team, a single codebase, and one measurable outcome. We cover the token costs for the pilot. Choose the starting point that maps to your biggest pain.

Option 1

PL/SQL to Java rebuild

Take one Oracle PL/SQL module from the 2029 exit list and measure how fast a small team can extract its rules, stand up the Java replacement, and pull the 2028 rollout forward.

Option 2

Test coverage improvement

Generate unit, regression, and validation coverage around critical operational logic and measure the lift.

Option 3

Developer onboarding acceleration

Put new or rotating engineers on an unfamiliar app and measure the reduction in ramp time.

Option 4

Business-rule extraction

Point Cursor at a dense PL/SQL module and measure how completely it captures the business rules from the code and your specs.

How it works

From handoffs to an AI software factory.

Today, work passes from person to person at every phase, and the handoffs are where time is lost. Cursor turns that line into a loop of AI agents, with your engineers directing instead of doing each step.

Today: work is handed off at every phase Plan Design Write Review Test Deploy handoffs lose time With Cursor: one team directs a factory of agents P D W R T D AI Software Factory idea in shipped
Agents run the full development lifecycle, with engineers directing instead of doing each step.
The journey

The AI maturity curve.

Every engineering org ascends this curve. The question is how fast. Cursor enables the middle of it today.

1
Manual coding
AI not in the loop
2
Assisted coding
AI as assistant
Cursor Tab
3
Prompted blocks
AI as pair
Cursor Agent
4
Guided feature gen
AI as junior eng
Cloud Agents
5
Autonomous dev
AI as team
Agentic loops
6
Intent-oriented
AI as cofounder
Factory
What blocks the ascent
1

Developer trust

Adoption sticks when developers choose the tool, not when it is mandated.

2

Model lock-in risk

The best model changes every few months. Single-vendor bets lose.

3

Developer relapse

Without governance, engineers revert to old habits. Adoption needs structure.

4

Traceability and audit

AI-generated code needs an audit trail, required for compliance.

5

Security and controls

Must fit enterprise security, infrastructure, and data residency requirements.

Cursor enables stages 2 through 5 today. Stage 6 is the autonomous frontier.
Your pilot

Your 30-day legacy modernization pilot

A focused, low-risk pilot with one application team. Cursor covers the token costs. Five phases, left to right.

Download the one-page charter (PDF)

Setup

Day 0–3

Lock one team on a real Oracle PL/SQL module from the 2029 exit list (8–15 engineers). Privacy Mode and SSO on. Tokens covered by Cursor. Success criteria signed off.

Kickoff

Week 1

Jason Wiker, our field engineer, leads a tailored engineering session and a casual demo of a few sample migrations. Pick one real legacy module plus one live defect or regulatory change.

Run

Weeks 1–4
  • Comprehend. Semantic search extracts and explains the business rules in the PL/SQL.
  • Change. The agent drafts the Java rebuild from your specs and opens a PR.
  • Review. Automated code and security review with Bugbot.
Mid-pilot working session captures before and after.

Day 30 results

Outcomes

Business rules from one PL/SQL module captured. One Java application stood up through the agent and review workflow. Engineer confidence on the rebuild path up.

Expand

Scale

Roll to more app-dev teams, move into corporate approval and procurement, and scale across Ground and Services.

Next step

Start small. Prove value. Scale what works.

Identify one team, one codebase, and one measurable outcome where Cursor can help FedEx validate productivity, modernization, and quality gains.

Start a conversation Download the pilot charter (PDF)
Prepared by Joe Masello · joe.masello@cursor.com · June 2026