Full-Time
Software Engineer – New Grad
Posted on 12/3/2024
Windsurf
1-10 employees
AI-powered IDE with agentic coding
No salary listed
Mountain View, CA, USA
In Person
The team goes in 5 days a week into our office in downtown Mountain View, CA.
 Software Engineering (2) |
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- Bachelors / Masters degree in computer science, mathematics or physics
- Ideally prior internships, attendance at a top university, or participation in programming contests
- A self-starter with a hunger to dream up, plan, and execute tasks independently
- Develop a code generation and editing system capable of solving many everyday developer tasks
- Explore the next big interface after autocomplete and chat for interacting with AI
- Maintain reliability and scalability of the service across a wide range of IDEs, platforms, hardware, and programming languages
- Prior internships
- Attendance at a top university
- Participation in programming contests
Windsurf is an AI-powered integrated development environment (IDE) that helps developers write and manage code more efficiently. Its Windsurf Editor includes Cascade, an AI agent that understands and can modify large codebases, and Supercomplete, which provides context-aware code predictions. Compared with rivals, Windsurf combines an autonomous code-modifying AI agent with predictive coding inside a single IDE, helping with navigating and refactoring complex projects. Its goal is to speed up software development and reduce manual coding effort for individuals and enterprises.
Company Size
1-10
Company Stage
Acquired
Total Funding
$2.6B
Headquarters
San Jose, California
Founded
2021
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Simplify's Take
What believers are saying
- Devin Review reached all Pro, Max, and Teams subscribers on May 6, 2026.
- Arena Mode compares models on real codebases, improving evaluation inside daily workflows.
- Claude Opus 4.7 fast mode offers higher intelligence with roughly 2.5x output speed.
What critics are saying
- Microsoft, GitHub, and Google bundle coding agents into existing developer workflows.
- Windsurf depends on Anthropic, OpenAI, and Google models competitors can withhold or copy.
- Frequent product changes and the 2026 Windows update bug damage enterprise trust.
What makes Windsurf unique
- Windsurf Editor is the first AI-native IDE, launched after the April 2025 rebrand.
- Cascade understands codebase context and edits complex projects directly inside the IDE.
- Tab v2 lets developers tune autocomplete boldness, improving flow without interruptive suggestions.
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Benefits
Remote Work Options
Flexible Work Hours
Health Insurance
401(k) Retirement Plan
Wellness Program
Mental Health Support
Company News
Weekly AI roundup: agentic coding and video production advancements. This week's highlights include major updates to autonomous coding agents for enterprises and the refinement of physics-based engines in generative video. The rise of unified agentic ides. In early July 2026, a significant shift in the software development lifecycle has become evident as tools move from simple completion suggestions toward autonomous agent coordination. Leading the charge are platforms designed to manage 'fleets' of AI agents that can handle entire pull requests rather than just single lines of code. This evolution marks a transition from the 'copilot' era to the 'architect' era, where developers spend more time on high-level design and governance. Tools like Windsurf have introduced more robust frameworks for coordinating these autonomous agents, ensuring that even as AI handles logic and debugging, there is a clear chain of command and review. Similarly, qodo has expanded its focus on automated codebase governance, allowing engineering leaders to set global standards that are enforced by AI agents in real-time. These updates are particularly critical as codebases become larger and more complex, requiring higher-level abstraction to maintain developer productivity. Complementing these agentic workflows, Devin continues to push the boundaries of autonomous software engineering by demonstrating better reasoning in diverse cloud environments. Meanwhile, established assistants like GitHub Copilot and Cody are refining their context-awareness, focusing on deep-linking to existing documentation and internal company logic to reduce the 'hallucinations' that often plague automated coding tasks. Physics-Based realism in video generation. Generative video technology is experiencing a 'second wave' of innovation this week, moving away from surrealistic visuals toward hyper-realistic, physics-oriented output. This development is crucial for professional cinema and high-end advertising, where lighting consistency and gravity must be flawlessly maintained. Platforms are now introducing dedicated sensors within the model architecture to simulate real-world physical constraints. Runway continues to set the pace for cinematic video production, offering creators more granular control over camera movement and environment lighting. At the same time, Welcome To The Pika Universe has refined its physics-based realism, allowing users to generate complex interactions, such as fluid dynamics and fabric movements, with unprecedented accuracy. These tools are no longer niche experiments; they are becoming staples in pre-visualization and marketing production. In the more accessible tier of the market, invideo and Kapwing have streamlined their workflows to turn scripts into polished social content almost instantly. By integrating agentic helpers that choose music, b-roll, and text overlays automatically, these platforms are lowering the barrier to entry for small businesses. Lumen5 also remains a key player for enterprises, focusing on transforming technical white papers into digestible video summaries for social engagement. Automated knowledge management and productivity. The productivity tool space is moving toward 'ambient' intelligence, where AI works in the background to organize information without explicit user prompts. Notion and mem are leading this trend by transforming fragmented notes into cohesive, searchable knowledge bases. Instead of users manually tagging or filing documents, these platforms now automatically synthesize connections between disparate projects and meetings. For teams heavily reliant on remote communication, Fireflies.ai and Otter Meeting Agent have introduced deeper integrations that push highlights directly into CRMs and project management tools like ClickUp. The focus this week has specifically been on 'actionable' intelligence - moving beyond simple transcription to automatically creating tasks and updating Kanban boards based on the verbal agreements made during a call. Privacy and noise-canceling technology have also reached new milestones. Krisp has debuted enhanced real-time voice cloning reduction and background isolation, ensuring that professionals can conduct meetings in virtually any environment without compromising audio quality. This focus on the hardware-software interface is becoming a critical differentiator for productivity suites as the 'work from anywhere' model matures. Predictive personalization in marketing suites. Marketing platforms are increasingly moving away from basic automation toward predictive behavioral modeling. Key updates this week from Customer.io Platform emphasize the ability to predict the 'next best action' for a customer based on historical behavioral events. This allows markers to design journeys that adapt in real-time to how a user is interacting with an app or website. Email and SMS giants like Mailchimp and Omnisend are also doubling down on generative content that maintains brand voice. By utilizing centralized asset libraries, these tools can now generate thousands of variations of a campaign, each tailored to a specific demographic segment while ensuring the visual identity remains consistent. Jasper AI Platform has also introduced new 'brand-aware' agents that act as gatekeepers for all AI-generated copy, rejecting any content that deviates from established guidelines. On the business strategy side, platforms like HubSpot Customer Platform and Salesloft are integrating deeper conversational intelligence. These updates help sales teams identify high-intent signals within emails and calls, providing real-time coaching via tools like Get Email Wizard Certified. The goal is to reduce the time spent on administrative tasks - like data entry - and maximize the time spent on high-value human interaction. The institutionalization of AI research tools. Academic and market research tools are seeing a surge in adoption as they shift toward verifiable, citation-heavy models. Perplexity AI and Consensus have both announced updates that improve the accuracy of their 'answer engines' by prioritizing peer-reviewed data and real-time news sources. This is a direct response to the market's demand for transparency and a move away from the 'black box' nature of early LLM responses. Specialized tools like scite.ai and Humata are refining how researchers interact with massive PDF libraries. New features allow for 'cross-document' reasoning, where the AI can identify contradictions across a dozen different research papers in seconds. This capability is proving invaluable for legal, medical, and scientific professionals who must vet every claim for accuracy before publishing or making decisions. Finally, the SEO landscape is being reshaped by tools like NEURONwriter and MarketMuse, which focus on 'topical authority' rather than keyword stuffing. As search engines become more adept at identifying AI-generated fluff, these tools are helping creators build comprehensive content clusters that prove expertise. Semrush and Writerzen are also expanding their AI suites to help creators understand the 'Search Generative Experience' and how to maintain visibility as traditional search results evolve. Featured tool from this guide Open the official product page when it matches your workflow. Compare these tools. FAQs. What is an agentic IDE? How does physics-based video generation differ from earlier models? Can AI productivity tools update my project management software automatically? Why are research tools like Perplexity becoming popular in 2026?
Windsurf adds Claude Opus 4.7 fast mode, opens Devin Review to all subscribers. Windsurf added Claude Opus 4.7 in fast mode to the editor on May 12, offering Opus-level intelligence at roughly 2.5x the output speed. A week earlier, version 2.2.17 extended Devin Review to all Pro, Max, and Teams subscribers with a two-week free trial. Windsurf has added Claude Opus 4.7 in fast mode to the editor, following Anthropic's rollout of the model in late April. The Windsurf changelog describes it as delivering "the full intelligence of Opus 4.7 but with ~2.5x higher output speeds," which puts it in line with what Anthropic is offering in Claude Code's /fast mode. Fast mode Opus is distinct from standard Opus: the model runs at higher throughput with a corresponding increase in cost per token. Whether that trade is worth it depends on the task. For interactive sessions where waiting on a slow response breaks flow, it's often a good deal. For overnight batch runs, probably not. This puts Windsurf consistent with the direction Claude Code took in 2.1.142, which also moved fast mode to Opus 4.7 as the default on May 14. Devin Review now available to all IDE subscribers. Version 2.2.17, released May 6, opened Devin Review and Quick Review to everyone with an existing Windsurf IDE subscription. Previously, the feature required a separate Cognition platform agreement. Self-serve subscribers on Pro ($20/mo), Max ($200/mo), and Teams ($40/user/mo) plans get a two-week free trial. After the trial, access continues as part of the plan. Enterprise accounts still need a Cognition agreement to unlock the feature. Devin Review lets you hand a pull request to Devin for an asynchronous review pass. It reads the diff, examines the broader codebase context, and returns structured feedback. Quick Review is the same thing with a shorter, faster output - better for routine PRs where you want a second pass without a full analysis. The same v2.2.17 release added list display options for the Agent Command Center inbox, improved session sorting and filtering, and fixed a Windows update bug that had been preventing installation for some users (the fix required closing any running devin.exe processes before updating). Several MCP server compatibility issues were also resolved. Context. Windsurf is owned by Cognition, which acquired it in July 2025. Devin was Cognition's original product before the acquisition. The Windsurf 2.0 release in April 2026 brought Devin directly into the IDE through the Agent Command Center, a Kanban-style view of local and cloud agent sessions. The Devin Review expansion in 2.2.17 is the next step: making Devin's review capabilities available to the full subscriber base without requiring a separate commercial agreement. For developers who primarily use Windsurf as a coding environment, the relevant change is practical: you now have a pull request reviewer built into the same tool you're using to write the code.
Is Trae IDE GPT-5.4 free? 2026 pricing breakdown, limits & developer guide. Key takeaways. * No, GPT-5.4 is not free in Trae IDE. The free plan provides only $3 monthly usage credit, which GPT-5.4 consumes rapidly at $2.50 per million input tokens. * Free users get effectively unlimited access to lower-cost models like GPT-4o and Claude 3.5 Sonnet within quotas, but frontier models like GPT-5.4 require paid plans or on-demand billing. * Trae IDE uses strict token-based billing across all plans: every AI request deducts from Basic Usage credits based on the selected model's API rate. * Pro plan ($10/month) offers $20 monthly credit + bonus usage, making GPT-5.4 viable for moderate coding workloads. * Benchmarks indicate GPT-5.4 delivers superior SWE-Bench Pro scores and 1M-token context, but long-context surcharges apply above 272K tokens. * Community feedback suggests many developers stay on free tier for routine tasks and upgrade only for agentic SOLO mode or heavy GPT-5.4 usage. What is Trae IDE? Trae IDE, developed by ByteDance, is a full-featured AI-powered code editor built on a modernized VS Code foundation with JetBrains-inspired UI elements. It supports full VS Code extension compatibility and positions itself as an autonomous "AI development engineer." Core capabilities include: * Builder Mode for generating complete projects from natural language prompts. * SOLO Mode for autonomous agents that plan, code, debug, and deploy with concurrent cloud tasks. * Multimodal input (screenshots, documents, terminal logs). * Real-time web previews and deep repository context analysis. * Custom agent teams via Model Context Protocol (MCP) tools. Trae stands out for its privacy-focused local-first design and aggressive free-tier model access compared to competitors like Cursor or Windsurf. Does Trae IDE offer free access to GPT-5.4? Analysis shows GPT-5.4 is available in Trae IDE but is not free. Trae IDE added GPT-5.4 (and variants) following its March 2025 launch by OpenAI. However, access follows a token-based consumption model introduced in February 2026. No plan provides unlimited GPT-5.4 without usage credits. * Free tier: $3 Basic Usage credit per month. GPT-5.4's high per-token rate means even moderate sessions can exhaust this quickly. * Paid tiers deduct usage from higher monthly credits before on-demand pay-as-you-go kicks in. Benchmarks confirm GPT-5.4's edge in complex reasoning, coding accuracy, and native computer-use capabilities, making it desirable for professional workflows - yet this performance comes at a premium cost structure. Trae IDE pricing structure (april 2026). Trae operates a five-tier system with token-based billing for every model request: Actual cost ($) = tokens processed x model API rate | Plan | Monthly Price | Basic Usage Credit | Autocomplete | Concurrent SOLO Tasks | Model Early Access | Queue Priority | | Free | $0 | $3 | 5,000/month | 2 | Limited | Standard | | Lite | $3 | $5 + Bonus | Unlimited | 2 | Limited | Fast | | Pro | $10 | $20 + Bonus | Unlimited | 10 | Limited | Fast | | Pro+ | $30 | $90 + Bonus | Unlimited | 15 | Limited | Fast | | Ultra | $100 | $400 + Bonus | Unlimited | 20 | Included | Fast | Key notes: * All plans support on-demand usage after credits are exhausted (billed in $3 increments). * 7-day Pro trial available for new users who add payment details. * Annual billing offers savings (e.g., Pro averages $7.50/month). How GPT-5.4 billing works in Trae IDE. From Trae's official models documentation, GPT-5.4 pricing mirrors OpenAI API rates (billed per million tokens): * Input (<=272K context): $2.50/M * Input (>272K): $5.00/M * Cached input: $0.25/M (up to 90% savings on repeated context) * Output: $15.00/M (<=272K) or $22.50/M (longer) Why this matters: A single complex coding task with full-repo context can consume 50K-200K tokens. On the free tier's $3 credit, users might complete only 1-3 GPT-5.4 sessions before needing to upgrade or switch models. Long-context surcharge explanation: Costs double beyond 272K tokens because of increased computational demands. This impacts large monorepos or legal/codebase analysis use cases. Comparisons: trae vs Cursor, Windsurf & others. | Feature | Trae IDE (Free) | Cursor (Hobby) | Windsurf | | Base models | GPT-4o + Claude 3.5 unlimited (within credit) | Limited GPT-4o | Similar token model | | GPT-5.4 access | Paid per token | Plus required | Paid per token | | Monthly starting price | $0 ($3 credit) | $0 (limited) | $10+ | | SOLO/autonomous agents | Limited (2 tasks) | Limited | Full paid | | VS Code compatibility | Full | Full | Full | Trae remains one of the most generous free offerings for everyday coding, but frontier models like GPT-5.4 level the playing field toward paid plans faster than base-model-only competitors. Advanced tips to maximize value & reduce costs. * Leverage prompt caching: Repeat system prompts or repo context to slash input costs by up to 90% on GPT-5.4. * Hybrid model strategy: Use GPT-5.4 only for high-stakes reasoning; fallback to Claude 3.5 Sonnet or GPT-4o for routine autocompletion. * SOLO Mode optimization: Reserve for Pro+ or higher where concurrent tasks scale to 15-20. * Monitor usage dashboard: Trae provides real-time token tracking - set custom alerts before credits deplete. * Edge case for heavy users: Enable on-demand billing only after exhausting bonus credits; annual Pro plan often proves cheapest for 10-20K tokens/month. Common pitfalls to avoid. * Token billing surprise: Many users accustomed to "unlimited" older plans were caught off-guard by the February 2026 switch. Always check model-specific rates before selecting GPT-5.4. * Overusing long context: Exceeding 272K triggers immediate surcharges - compress context or split tasks. * Free tier over-reliance: Great for prototyping, but production agent workflows quickly exceed $3 credit. * Queue priority: Free and Lite users face standard queues during peak hours, delaying responses. Conclusion. Trae IDE delivers exceptional value through its generous free tier and deep AI integration, but GPT-5.4 remains a paid, token-consumed model designed for serious developers. The $10 Pro plan strikes the best balance for most users needing meaningful frontier-model access without enterprise pricing. Ready to test it yourself? Download Trae IDE from trae.ai, claim the limited-time anniversary gift, and start with the free tier today. Experiment with GPT-4o first, then upgrade strategically when GPT-5.4's reasoning power becomes essential for your workflow. Whether you're building solo or leading a team, Trae's transparent pricing and agentic capabilities make it a strong contender in the 2026 AI IDE landscape. More articles connected to the same themes, protocols, and tools. Referenced tools. Browse entries that are adjacent to the topics covered in this article.
Windsurf introduces Arena Mode to compare AI models during development. * Daniel Dominguez Software Product Manager | Machine Learning Specialist Write for InfoQ. Feed your curiosity. Help 550k+ global senior developers each month stay ahead. Get in touch Windsurf has introduced Arena Mode inside its IDE allowing developers to compare large language models side by side while working on real coding tasks. The feature is designed to let users evaluate models directly within their existing development context, rather than relying on public benchmarks or external evaluation websites. Arena Mode runs two Cascade agents in parallel on the same prompt, with the underlying model identities hidden during the session. Developers interact with both agents using their normal workflow, including access to their codebase, tools, and context. After reviewing the outputs, users can select which response performed better, and those votes are used to calculate model rankings. The results feed into both a personal leaderboard based on an individual's votes and a global leaderboard aggregated across the Windsurf user base. According to Windsurf, the approach is intended to address limitations of existing model comparison systems, such as testing without real project context, sensitivity to superficial output style, and the inability to reflect differences across tasks, languages, or workflows. Windsurf aims to capture evaluations that more closely resemble day-to-day development work, including debugging, feature development, and code understanding. Arena Mode supports testing specific models or selecting from predefined groups, such as faster models versus higher-capability models. Developers can keep follow-up prompts synchronized between agents or branch conversations independently. Once a preferred output emerges, the session can be finalized and recorded for ranking. Arena Mode is offered with free access to all battle groups for a limited period, after which results will be published and additional models added over time. Windsurf also plans to expand the system with more granular leaderboards by task type, programming language, and potentially team-level evaluations for larger organizations. The announcement of Arena Mode has sparked a mix of excitement, praise, and some skepticism from the community. Users on X appreciate the real-world benchmarking approach but raise concerns about token usage and practicality. Your codebase is the benchmark. Spicy! Meanwhile user @BigWum commented: What a great way to burn through even more tokens. Several other tools in the developer AI space are exploring related ideas, though with different levels of integration and focus. Public evaluation platforms such as Dpaia Arena allow users to compare model outputs side by side, but typically operate on short, context-free prompts outside of real development environments. Some IDE-integrated assistants, including GitHub Copilot and Cursor, support switching between models or running background evaluations, but do not currently center on explicit, user-driven head-to-head comparisons as part of the workflow. Other emerging coding agents emphasize multi-model routing or automatic model selection based on task type, rather than exposing direct comparisons to developers. Alongside Arena Mode, Windsurf announced a new Plan Mode as part of its latest release. Plan Mode focuses on task planning before code generation, prompting users with clarifying questions and producing structured plans that can then be executed by Cascade agents. The feature is intended to help developers define context and constraints upfront before running code-related tasks. Daniel Dominguez. Daniel is the Managing Partner at SamXLabs an AWS Partner Network company. He has over 13 years of experience in software product development for startups and Fortune 500 companies. Daniel holds a degree in Engineering and a Machine Learning specialization from the University of Washington. He is passionate about leveraging AI and cloud computing to create innovative solutions. As an AWS Community Builder in the Machine Learning tier, Daniel is committed to sharing knowledge and driving innovation in software products. This content is in the AI, ML & data Engineering topic. Related sponsors. * Mastering AI Agent Management with Boomi Agentstudio Deploy AI agents with confidence. 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Windsurf launches Tab v2, changing AI autocomplete by letting developers take control. AI coding tools love to brag about accuracy. Windsurf is betting developers care more about momentum. On February 3, the Windsurf team unveiled Tab v2, a rebuilt version of its AI autocomplete system that, according to internal testing, helps developers accept 25% to 75% more code - without increasing how often suggestions interrupt their flow. The upgrade isn't just about better models. It's about giving developers a say in how bold their AI should be.