Eight months on Cursor. Then a coworker kept sending me Windsurf screenshots with the Cascade panel doing multi-file rewrites I thought only I could orchestrate manually. I gave myself 30 days — April 14 to May 14, 2026 — to run Windsurf as my primary coding environment on real client work. Not toy projects. Real work.This is what happened.## Why I left Cursor (temporarily)My main Cursor frustration wasn't the model quality. Claude 3.7 Sonnet inside Cursor's Composer is excellent. The frustration was context drift in long sessions.After about 40-50 tool calls in a single Composer session, responses started degrading. The model would "forget" constraints I'd set at session start — things like "don't modify the test files" or "use the existing auth pattern." I'd have to re-anchor with fresh context every 35-40 messages, which interrupted flow.I was also burning about $22-28/month on top of the Pro subscription because I kept hitting the fast-model cap and switching to API billing. Not a dealbreaker, but it added up.Windsurf's pitch — that Cascade maintains coherent context across an entire multi-file workflow — seemed worth testing.## Setup and the first 48 hoursInstallation was straightforward. Windsurf is a VS Code fork, so my existing settings.json, keybindings, and most extensions transferred. I had my environment working in about 25 minutes.The first surprise was the Cascade panel. It's not a chat window the way Composer is. It operates more like a task queue — you give it a goal, it proposes a plan with explicit steps, you approve or edit the plan, then it executes. The distinction matters.In Composer, you're guiding an ongoing conversation. In Cascade, you're approving a structured workflow. Neither is strictly better; they suit different cognitive styles.I hit two rough patches in the first 48 hours:First: Windsurf's extension compatibility. A couple of my niche extensions (a custom linter and a schema validation tool) didn't load cleanly. I spent about 90 minutes diagnosing this before realizing they just needed to be reinstalled fresh rather than migrated from my VS Code profile. Not a Windsurf bug, but migration friction.Second: model selection. Windsurf gives you a dropdown to choose between Claude 3.5 Sonnet, GPT-4o, and a few others. I defaulted to Claude 3.5 Sonnet for continuity. The results felt slightly different from Cursor's implementation of the same model — my guess is system prompt differences, but I couldn't verify.## Where Windsurf actually won*Multi-file coherence on larger refactors.* In week two, I refactored an API integration layer that touched 11 files — route handlers, middleware, type definitions, tests, and a client wrapper. I gave Cascade the goal, it generated a 7-step plan, I trimmed it to 5 steps, and it executed without losing the thread.The same task in Cursor had taken me three Composer sessions the previous month (I'd attempted it before). Each session required re-establishing context. Windsurf did it in one Cascade run, roughly 2.5 hours, with two manual corrections mid-way.I can't say Windsurf is smarter — it's running similar models. What's different is that Cascade's plan-then-execute structure means the model doesn't have to reconstruct intent from conversation history. The intent is explicit in the plan.Reduced "where was I" overhead. After breaks, re-reading a Cascade plan to understand current state took about 10 seconds. Re-reading a Composer thread to find where I'd left off took closer to 3-5 minutes. Over 30 days this added up to maybe 3-4 hours of recovered time.The "memory" panel. Windsurf has a project-level memory feature that persists context between sessions. I used it to store things like: which database connection pattern we were using, why a particular abstraction existed, constraints on a third-party API we were wrapping. When starting a new Cascade session, I'd reference the memory note and the model stayed grounded.Cursor doesn't have a native equivalent. I'd been maintaining a separate context file maEight months on Cursor. Then a coworker kept sending me Windsurf screenshots with the Cascade panel doing multi-file rewrites I thought only I could orchestrate manually. I gave myself 30 days — April 14 to May 14, 2026 — to run Windsurf as my primary coding environment on real client work. Not toy projects. Real work.This is what happened.## Why I left Cursor (temporarily)My main Cursor frustration wasn't the model quality. Claude 3.7 Sonnet inside Cursor's Composer is excellent. The frustration was context drift in long sessions.After about 40-50 tool calls in a single Composer session, responses started degrading. The model would "forget" constraints I'd set at session start — things like "don't modify the test files" or "use the existing auth pattern." I'd have to re-anchor with fresh context every 35-40 messages, which interrupted flow.I was also burning about $22-28/month on top of the Pro subscription because I kept hitting the fast-model cap and switching to API billing. Not a dealbreaker, but it added up.Windsurf's pitch — that Cascade maintains coherent context across an entire multi-file workflow — seemed worth testing.## Setup and the first 48 hoursInstallation was straightforward. Windsurf is a VS Code fork, so my existing settings.json, keybindings, and most extensions transferred. I had my environment working in about 25 minutes.The first surprise was the Cascade panel. It's not a chat window the way Composer is. It operates more like a task queue — you give it a goal, it proposes a plan with explicit steps, you approve or edit the plan, then it executes. The distinction matters.In Composer, you're guiding an ongoing conversation. In Cascade, you're approving a structured workflow. Neither is strictly better; they suit different cognitive styles.I hit two rough patches in the first 48 hours:First: Windsurf's extension compatibility. A couple of my niche extensions (a custom linter and a schema validation tool) didn't load cleanly. I spent about 90 minutes diagnosing this before realizing they just needed to be reinstalled fresh rather than migrated from my VS Code profile. Not a Windsurf bug, but migration friction.Second: model selection. Windsurf gives you a dropdown to choose between Claude 3.5 Sonnet, GPT-4o, and a few others. I defaulted to Claude 3.5 Sonnet for continuity. The results felt slightly different from Cursor's implementation of the same model — my guess is system prompt differences, but I couldn't verify.## Where Windsurf actually won*Multi-file coherence on larger refactors.* In week two, I refactored an API integration layer that touched 11 files — route handlers, middleware, type definitions, tests, and a client wrapper. I gave Cascade the goal, it generated a 7-step plan, I trimmed it to 5 steps, and it executed without losing the thread.The same task in Cursor had taken me three Composer sessions the previous month (I'd attempted it before). Each session required re-establishing context. Windsurf did it in one Cascade run, roughly 2.5 hours, with two manual corrections mid-way.I can't say Windsurf is smarter — it's running similar models. What's different is that Cascade's plan-then-execute structure means the model doesn't have to reconstruct intent from conversation history. The intent is explicit in the plan.Reduced "where was I" overhead. After breaks, re-reading a Cascade plan to understand current state took about 10 seconds. Re-reading a Composer thread to find where I'd left off took closer to 3-5 minutes. Over 30 days this added up to maybe 3-4 hours of recovered time.The "memory" panel. Windsurf has a project-level memory feature that persists context between sessions. I used it to store things like: which database connection pattern we were using, why a particular abstraction existed, constraints on a third-party API we were wrapping. When starting a new Cascade session, I'd reference the memory note and the model stayed grounded.Cursor doesn't have a native equivalent. I'd been maintaining a separate context file manually — Windsurf's built-in version is more integrated.## Where Cursor still wins*Speed on smaller tasks.* For one-shot questions, quick edits, or single-file tasks, Cursor's Composer feels faster to reach. Cascade's planning step is valuable for complex work but adds maybe 15-30 seconds of overhead for simple things. I found myself opening Cursor for "change this function signature" tasks while using Windsurf for anything touching more than 3 files.The chat sidebar for reference questions. Cursor's CMD+L sidebar for asking questions about the codebase without triggering an edit session is cleaner than what Windsurf offers. I use this constantly to ask "explain what this middleware does" or "where does this type come from." Windsurf's equivalent is workable but the UI is busier.Bug fix workflow. When debugging, I want to paste an error, get an analysis, paste a follow-up, get a fix suggestion, and iterate quickly. This conversational loop feels more natural in Composer than in Cascade. Cascade's structured plan doesn't map well onto the inherently exploratory nature of debugging.I ended up keeping Cursor installed and using it specifically for debugging sessions throughout the 30 days.Plugin ecosystem confidence. This might normalize over time, but the mild anxiety about extension compatibility didn't fully go away. I knew Cursor's extension behavior. I was still learning Windsurf's edge cases at day 30.## The Cascade workflow that actually changed how I refactorAround day 12, I stopped thinking of Cascade as an "AI assistant" and started treating it more like a junior developer I could hand a well-scoped task to.The mental model shift: I'd spend 5-10 minutes writing a proper task description with context, constraints, and acceptance criteria — essentially a small internal ticket. Then I'd paste that into Cascade and let it propose a plan. I'd review the plan with the same attention I'd give a PR description, edit it, then approve.The result was better than prompting conversationally. Because I had to write the task as a proper spec, I caught ambiguities before Cascade touched the code. The model's plan was also more useful as a review artifact — I could share it in Slack to explain what had changed before the PR was ready.One specific example: on day 19, I used this workflow to refactor our caching layer. The spec I wrote was 6 bullet points. Cascade's plan was 8 steps. I merged two steps, added a constraint about maintaining the existing interface for legacy callers, and approved. The execution took 38 minutes. The PR review comment from my team lead was "unusually clean diff." I'm fairly sure the structured plan is why — it forced me to think before generating.## After 30 daysI'm running both tools. Windsurf handles the architectural work — the multi-file refactors, the feature builds that touch 6+ locations, anything where I need coherent state across a long session. Cursor handles the tactical stuff — debugging, quick edits, reference questions.The framing I've settled on: Windsurf is a project manager that can also code. Cursor is a senior developer you're pair programming with. The project manager framing is actually useful. You give it goals and plans, not just questions.Would I fully switch? Not yet. The extension uncertainty, the debugging workflow preference, and the muscle memory I've built in Cursor make a clean switch impractical. But I use Windsurf more hours per week now than I did at day one.The thing that surprised me most: the biggest productivity gain wasn't from any AI feature. It was from being forced to write better task specs because Cascade requires them. The tool made me a more deliberate engineer, even in the sessions where I used Cursor afterward.---Running a similar comparison? Curious what setup you're using — particularly whether people with larger monorepos find Cascade's coherence advantage more or less pronounced at scale.*nually — Windsurf's built-in version is more integrated.## Where Cursor still winsSpeed on smaller tasks.* For one-shot questions, quick edits, or single-file tasks, Cursor's Composer feels faster to reach. Cascade's planning step is valuable for complex work but adds maybe 15-30 seconds of overhead for simple things. I found myself opening Cursor for "change this function signature" tasks while using Windsurf for anything touching more than 3 files.The chat sidebar for reference questions. Cursor's CMD+L sidebar for asking questions about the codebase without triggering an edit session is cleaner than what Windsurf offers. I use this constantly to ask "explain what this middleware does" or "where does this type come from." Windsurf's equivalent is workable but the UI is busier.Bug fix workflow. When debugging, I want to paste an error, get an analysis, paste a follow-up, get a fix suggestion, and iterate quickly. This conversational loop feels more natural in Composer than in Cascade. Cascade's structured plan doesn't map well onto the inherently exploratory nature of debugging.I ended up keeping Cursor installed and using it specifically for debugging sessions throughout the 30 days.Plugin ecosystem confidence. This might normalize over time, but the mild anxiety about extension compatibility didn't fully go away. I knew Cursor's extension behavior. I was still learning Windsurf's edge cases at day 30.## The Cascade workflow that actually changed how I refactorAround day 12, I stopped thinking of Cascade as an "AI assistant" and started treating it more like a junior developer I could hand a well-scoped task to.The mental model shift: I'd spend 5-10 minutes writing a proper task description with context, constraints, and acceptance criteria — essentially a small internal ticket. Then I'd paste that into Cascade and let it propose a plan. I'd review the plan with the same attention I'd give a PR description, edit it, then approve.The result was better than prompting conversationally. Because I had to write the task as a proper spec, I caught ambiguities before Cascade touched the code. The model's plan was also more useful as a review artifact — I could share it in Slack to explain what had changed before the PR was ready.One specific example: on day 19, I used this workflow to refactor our caching layer. The spec I wrote was 6 bullet points. Cascade's plan was 8 steps. I merged two steps, added a constraint about maintaining the existing interface for legacy callers, and approved. The execution took 38 minutes. The PR review comment from my team lead was "unusually clean diff." I'm fairly sure the structured plan is why — it forced me to think before generating.## After 30 daysI'm running both tools. Windsurf handles the architectural work — the multi-file refactors, the feature builds that touch 6+ locations, anything where I need coherent state across a long session. Cursor handles the tactical stuff — debugging, quick edits, reference questions.The framing I've settled on: Windsurf is a project manager that can also code. Cursor is a senior developer you're pair programming with. The project manager framing is actually useful. You give it goals and plans, not just questions.Would I fully switch? Not yet. The extension uncertainty, the debugging workflow preference, and the muscle memory I've built in Cursor make a clean switch impractical. But I use Windsurf more hours per week now than I did at day one.The thing that surprised me most: the biggest productivity gain wasn't from any AI feature. It was from being forced to write better task specs because Cascade requires them. The tool made me a more deliberate engineer, even in the sessions where I used Cursor afterward.---Running a similar comparison? Curious what setup you're using — particularly whether people with larger monorepos find Cascade's coherence advantage more or less pronounced at scale.## One thing I would do differentlyIf I started over, I would front-load the Cascade mental model adoption. The first week I kept treating Cascade like a slightly different Composer, which meant I was prompting conversationally when I should have been writing specs.The practical difference: in Composer, I write something like "add rate limiting to this endpoint" and iterate based on what I get back. In Cascade, I write a proper spec before touching the interface — endpoint path, what counts as a limit exceeded, where the counter state lives, what the error response shape looks like, whether existing tests cover the limit behavior. That 5-minute spec saves 20-30 minutes of mid-task correction.Once I internalized that distinction — Cascade is for planned execution, Composer is for conversation — the tool clicked. It might take less than 12 days if you approach it deliberately from day one rather than gradually.I would also spend an hour at the start setting up project memory properly. I added it retroactively around day 8, and I could see the difference immediately in how sessions started. Memory notes take 10-15 minutes to write well. The return: I stopped re-explaining the same architectural decisions at the start of every session. Over 30 days, that recovered roughly 40-60 minutes of setup time across sessions.## One thing I would do differentlyIf I started over, I would front-load the Cascade mental model adoption. The first week I kept treating Cascade like a slightly different Composer, which meant I was prompting conversationally when I should have been writing specs.The practical difference: in Composer, I write something like add rate limiting to this endpoint and iterate based on what I get back. In Cascade, I write a proper spec before touching the interface — endpoint path, what counts as a limit exceeded, where the counter state lives, what the error response shape looks like, whether existing tests cover the limit behavior. That 5-minute spec saves 20-30 minutes of mid-task correction.Once I internalized that distinction — Cascade is for planned execution, Composer is for conversation — the tool clicked. It might take less than 12 days if you approach it deliberately from day one rather than gradually.I would also spend an hour at the start setting up project memory properly. I added it retroactively around day 8, and I could see the difference immediately in how sessions started. Memory notes take 10-15 minutes to write well. Over 30 days, that recovered roughly 40-60 minutes of setup time across sessions.One last observation: the two tools are cheaper to run in combination than either alone at full usage. My combined billing dropped from the 22-28 dollar range to about 14-16 dollars over the trial month. Unexpected benefit.