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Devin vs Cursor: How developers choose AI coding tools in 2026

December 11, 2024

Written By Steve Sewell

Article update January, 2026.

Most devs lump Cursor and Devin into the same general category of “AI coding tools,” but don’t underestimate just how varied the two are.

Users of both quickly learn how the two diverge. And it’s not because one is smarter or more capable, but because each one asks something different of the person using it.

The real separation shows up in workflow: How a task gets started. How tightly the developer stays involved as it unfolds. How attention is spent while code is being written, changed, and reviewed.

Rather than comparing features side by side, this article looks at Cursor and Devin through the lens of daily use. The goal is to understand how each tool influences the way developers work and why different teams naturally adopt different approaches over time.

This comparison is about modes, not features.

Devin vs Cursor at a glance: workflow and usage comparison

DimensionCursorDevinWhat this means in practice

Primary interaction model

Continuous co-editing

Task delegation

Cursor stays in the loop, Devin creates a handoff

Where thinking happens

Inside your IDE

Inside the agent

Cursor keeps thinking local, Devin externalizes it

How work starts

Inline prompt or edit

Assigned task with plan

Cursor begins mid-thought, Devin begins with intent

Feedback loop speed

Immediate

Phased and delayed

Cursor supports flow, Devin supports patience

Developer presence assumed

Constant

Intermittent

Cursor expects attention, Devin expects availability

Sense of authorship

Strong

Shared

Cursor feels like my code, Devin feels collaborative

Trust boundary

Tight and incremental

Broader and outcome-based

Cursor invites checking, Devin requires trust

Typical task duration

Short to medium

Medium to long

Cursor shines in iteration, Devin in execution

Best fit work style

Exploratory and iterative

Planned and goal-oriented

Different ways of thinking

Primary mental model

Thought partner

Delegated teammate

Explains most downstream differences

You can distill the philosophical difference between Cursor and Devin into one sentence:

With Cursor, you think through the code. With Devin, you hand the code off.

Cursor tends to feel like an extension of the developer’s own thought process. You stay inside the editor, adjust direction continuously, and refine ideas as they form. The feedback loop is tight, making Cursor the better choice for exploratory work, debugging, and UI-heavy iterations.

Devin feels different. Work begins with an explicit task and a defined goal. Once execution starts, the developer steps back. Interaction happens at checkpoints rather than constantly. Many developers describe this not as a loss of control, but as relief.

These differences appear early, even before teams push either tool to its limits.

AreaCursorDevin

How work begins

Mid-edit, mid-thought

Explicit task definition

Your role during execution

Actively co-thinking

Reviewing and intervening

Interaction frequency

Constant

Occasional

Cognitive posture

Inside the problem

Outside the problem

Sense of momentum

Continuous

Stepwise

Early emotional signal

Flow

Relief

Over time, these small differences compound. They shape trust, fatigue, and how naturally the tool fits into daily work.

One of the clearest differences between Cursor and Devin is where the thinking actually lives while work is in progress.

Cursor keeps reasoning close to the code. You remain inside your editor, watching changes form as they happen. Intermediate steps are visible. Small decisions surface immediately. It is easy to intervene or reverse course because nothing ever fully leaves your field of view.

That proximity shapes behavior. Developers verify continuously, not because they distrust the tool, but because checking is cheap. Thinking and editing blur together. The work feels present and inspectable.

Additionally, Cursor is a fork of VS Code. It’s really an IDE before anything else. If you love working in your IDE, then Cursor’s agentic capabilities can supercharge a pattern that you’ve already optimized.

Devin is something else. AI-native. Web-app based. Devin moves thinking into the agent. You define intent, review a plan, and execution proceeds elsewhere. Intermediate steps are summarized rather than presented in sequence. Visibility arrives in chunks, not continuously.

This distance creates a boundary between work in progress and work that is ready for review. For many teams, that boundary helps reduce distractions. For others, it introduces a context switch that takes time to re-enter.

AspectCursorDevinWhy this matters

Cognitive location

Inside your editor

Inside the agent (via web)

Proximity vs mediation

Proximity to code

Immediate

Mediated

Inspect as you think vs inspect later

Visibility of steps

High

Partial

Continuous vs summarized reasoning

Default verification

Continuous

Outcome-based

Early vs late discovery

Context ownership

Human-held

System-held

Memory vs delegation

Context switching cost

Low

Moderate

Mental boundary introduced

Failure discovery

Early

Later

Errors surface at different times

Cursor builds trust through exposure. Devin builds trust through delegation. Neither approach is universally safer or riskier. They optimize for different cognitive preferences.

Another difference becomes clear once work is underway: who actually carries momentum forward.

Cursor assumes the developer remains continuously involved. You initiate changes inline, observe results immediately, and steer direction as ideas evolve. Direction changes are cheap. Intervention is constant.

That tight loop reinforces authorship. Even when Cursor proposes or completes code, it still feels like your work. Progress emerges through small, frequent adjustments.

Devin operates differently. Work begins with a task and a plan, then execution proceeds independently. The developer steps out of the critical path and re-enters at defined moments.

This creates shared ownership. For some teams, that shared ownership creates tremendous leverage—some, but not all.

AspectCursorDevinExperience

Initiation style

Inline

Task assignment

Start where you are vs after definition

Execution ownership

Developer-led

Agent-led

Me working vs collaborative

Direction changes

Immediate

Checkpointed

Fluid vs structured

Visibility

Continuous

Periodic

Stream vs summary

Intervention cost

Low

Moderate

Cheap vs deliberate

Authorship feeling

Strong

Shared

Personal vs collective

Completion boundary

Open-ended

Defined

Trails off vs stops

The tools differ sharply in how they treat time and focus.

Cursor assumes continuous presence. Feedback is immediate. When things go well, this creates a strong flow. When something breaks, an interruption is felt instantly.

That loop is powerful but demanding. Stepping away mid-task often means losing context because the reasoning is tied to the moment.

Devin assumes attention will come and go. Work continues while the developer is elsewhere. Feedback arrives in batches rather than a continuous stream.

This shifts cognitive cost. Cursor taxes attention steadily. Devin reduces presence but requires re-entry.

AspectCursorDevin

Attention model

Continuous

Intermittent

Feedback cadence

Immediate

Batched

Interruption tolerance

Low

High

Flow compatibility

High

Variable

Background execution

Limited

Core

Cognitive load

High and steady

Spiky but bounded

Common failure

Fatigue

Context loss

The tradeoffs grow sharper as teams scale.

Cursor scales individuals. It works best when a small number of developers hold most context and move quickly. Coordination is informal.

As teams grow, that informality becomes fragile. Work tied to continuous cognition is harder to parallelize. Visibility depends on presence.

Devin scales tasks. Goals are defined upfront, execution runs in parallel, and progress is visible by default. Coordination is encoded rather than implied.

The cost is upfront clarity. Ambiguity that might be resolved through live iteration must be surfaced earlier.

AspectCursorDevin

Scaling unit

Individual

Task

Parallel execution

Limited

Strong

Visibility

Informal

Centralized

Governance

Implicit

Explicit

Best team size

Small to mid

Mid to large

Most failed adoptions fade quietly.

Cursor struggles when continuous presence becomes a liability. Devin struggles when exploration is the work.

Team realityTool biasResult

Exploratory debugging

Delegation

Overhead

Heavy UI iteration

Task flow

Slow feedback

Long background work

Continuous presence

Fatigue

Ambiguous problems

Plan-first

Rework

Large cross-functional teams

Individual cognition

Invisible work

High compliance

Informal flow

Manual governance

Most teams don’t work in a single mode.

That’s where Builder fits. Cursor excels at thinking through code. Devin excels at handing work off. Builder supports teams that move between those modes while staying connected to product context. It also has best-in-class UI development, making it particularly well-suited for frontend-heavy tasks.

DimensionCursor or DevinBuilder

Mode

Sync vs Async

Both

UI context

Limited

Native

Workflow triggers

Optional

Core

Collaboration

Individual or delegated

Shared context

Builder complements rather than replaces Cursor and Devin.

QuestionCursor leaningDevin leaningBuilder leaning

Stay in the editor while thinking

Yes

No

Yes, when needed

Tasks evolve mid-work

Often

Rarely

Often

Continuous feedback matters

Yes

No

Yes

Work runs unattended

No

Yes

Yes

Delegation beats immersion

No

Yes

Sometimes

Tasks well defined upfront

Sometimes

Usually

Sometimes

Checkpoints valued

Mixed

Strong

Strong when required

UI and product context matters

Sometimes

Rarely

Often

Team works in multiple modes

Rarely

Sometimes

Often

Cursor and Devin differ less in intelligence than in expectation.

Cursor fits teams that want to think through code continuously. Devin fits teams that want to hand work off and review outcomes later. Builder fits teams that move between those modes and need product context alongside code.

The best teams choose tools that match how their work actually gets done.

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