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Cursor AI Development Workflows

Ship More of the Right Work, with Judgment Still in Charge

Endertech uses Cursor as our primary AI-powered IDE to plan, implement, and review software faster. Agents accelerate drafts and refactors. Senior engineers own architecture, risk, and what ships.

Cursor helps when the work is clear enough to assist, and the stakes are high enough that humans still need to decide. Project rules and repo context keep assistance on-pattern.

We encode constraints first, use agents to move faster inside those bounds, then close with tests and human judgment before anything enters production.

When Capacity, Complexity, and Review Pressure Collide

Cursor helps when the work is clear enough to assist, and the stakes are high enough that humans still need to decide.

Backlog outruns the team

Useful work piles up while engineers spend hours on boilerplate, wiring, and first-pass implementations.

Multi-file changes everywhere

Features span APIs, UI, tests, and docs. Hand editing each surface slows the critical path.

Integrations and edge cases

ERP, commerce, and CRM boundaries need careful research and scaffolding before production code lands.

Review is the bottleneck

Drafts arrive faster than reviews. Without structure, speed creates risk instead of progress.

Docs drift from the system

Specs, runbooks, and PR notes lag behind the code your team actually operates.

Prototypes need production paths

Stakeholders want a working slice quickly, then a maintainable system they can keep shipping.

AI in the IDE, Accountability on the Team

We treat Cursor as leveraged engineering capacity. Project rules, shared context, and human approval keep outcomes tied to business risk.

Daily driver IDE

Engineers work in Cursor for implementation, refactors, tests, and documentation drafts across our stack.

Rules and repo context

Project conventions, architecture notes, and agent guidance live with the code so assistance stays on-pattern.

Senior review required

Agents propose. Engineers verify behavior, security, data integrity, and whether the change is worth shipping.

Context First, Then Accelerate, Then Verify

We encode what good looks like for the project, use Cursor to move faster inside those bounds, and close with tests and human judgment.

Capture constraints

Goals, invariants, stack boundaries, and acceptance criteria before agent-assisted coding starts.

Encode project rules

Cursor rules and repo guidance so drafts respect patterns the team already owns.

Implement with agents

Multi-file changes, scaffolding, migrations, and tests drafted in the IDE with engineers steering.

Review and ship

Diff review, automated checks, and explicit ownership of what enters production.

Agents, Rules, Refactors, and Review Loops

We use Cursor where it compounds senior skill: faster drafts, broader codebase awareness, and tighter feedback cycles.

Agent-assisted implementation

Feature slices, API wiring, UI updates, and test stubs drafted under engineer direction.

Project rules and AGENTS guidance

Persistent instructions so agents follow architecture, naming, and delivery standards.

Cross-file refactors

Coordinated edits across modules when a change cannot stay in one file.

Test and checklist drafts

First-pass tests and verification notes that humans harden before merge.

Docs and PR assistance

Release notes, runbooks, and pull request summaries that stay close to the diff.

Tooling and MCP context

Connected tools and Model Context Protocol servers when agents need live system context.

Build with Us, or Adopt the Same Discipline

Whether you need a delivery partner or help bringing Cursor into your engineering practice, we match the engagement to risk and pace.

AI-accelerated project delivery

Full programs where Cursor shortens cycle time under senior architecture and review.

Workflow assessment

Review how your team plans, codes, and reviews, then identify where Cursor fits safely.

Rules and guardrails setup

Project rules, secrets handling, and review gates so agents stay inside your standards.

Ongoing capacity

Retainer engineering that uses AI-assisted workflows to clear backlog without lowering the bar.

You can count on us.

  • Firm Price

    The price we quote for a scope of work is the price you pay. No surprises.

  • Detailed Plan

    Visual and written plans make clear the scope of work and guide the project to success.

  • Steady Cadence

    Progress and working decisions arrive on an agreed, dependable rhythm.

  • Prompt Communication

    Questions and issues are acknowledged promptly, with clear ownership and next steps.

Frequently Asked Questions

How does Endertech use Cursor?

Cursor is our primary AI-powered IDE for planning, implementation, refactors, tests, and documentation drafts. Agents accelerate first passes across files. Senior engineers own architecture, security, data integrity, and what ships to production.

Does AI write production code without review?

No. Agents propose drafts. Engineers review diffs, run checks, and decide whether a change meets the project's standards and risk bar before merge. Speed without judgment is not the goal.

How do you keep agents on-pattern for a project?

We encode goals, invariants, stack boundaries, and acceptance criteria in project rules and repo context. That guidance lives with the code so assisted drafts follow naming, architecture, and delivery standards the team already owns.

Can you help our team adopt Cursor?

Yes. We can assess how your team plans, codes, and reviews, then set up rules, secrets handling, and review gates so Cursor fits safely. We also deliver full programs where Cursor shortens cycle time under senior architecture and review.

Which kinds of work benefit most?

Multi-file features, scaffolding, refactors, test stubs, integration research, and documentation drafts benefit most when constraints are clear. Ambiguous product decisions and high-risk production changes stay with human ownership.

The People Leading Your Work

  • Gabriel Richards, Founder and CEO at EndertechGabriel RichardsFounder and CEOSince 2000
  • Roberto Olmos, Chief Technology Officer at EndertechRoberto OlmosChief Technology OfficerSince 2004
  • Cheyne Phillips, Chief Operating Officer at EndertechCheyne PhillipsChief Operating OfficerSince 2014
  • Jonathan Anderson, Chief Solutions Officer at EndertechJonathan AndersonChief Solutions OfficerSince 2017

Guides from Our Engineers

Engineer-written posts on MCP, AI workflows, and delivery discipline.
We Run Our Agency on MCP

We Run Our Agency on MCP

Published 9/6/2026
Gabriel RichardsGabriel Richards
We Run Our Agency on MCP
Building an AI Support Workflow with a Remote MCP Server: A Production Case Study

Building an AI Support Workflow with a Remote MCP Server: A Production Case Study

Published 5/28/2026
Gabriel RichardsGabriel Richards
Building an AI Support Workflow with a Remote MCP Server: A Production Case Study
How long does an AI automation workflow take to implement?

How long does an AI automation workflow take to implement?

Published 10/12/2026
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How long does an AI automation workflow take to implement?
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Let's accelerate delivery with Cursor.

Tell us about your vision, your business, and your challenges. We'll listen carefully and advise honestly.