AccessOwl, a Y Combinator-backed startup, is seeking a senior TypeScript engineer with AI/ML experience. This engineer will play a key role in developing their platform, which aims to connect hundreds of SaaS applications, streamlining user access and permissions management. Responsibilities include building integrations with various APIs, designing and implementing core product features, and leveraging AI to improve user experience and automation. The ideal candidate is proficient in TypeScript, Node.js, and has practical experience with AI/ML technologies.
Infisical, a Y Combinator-backed startup (W23) building a platform for secret management, is hiring full-stack engineers proficient in TypeScript. They're looking for developers to contribute to their core product, which helps engineering teams manage and synchronize application secrets across different environments. The roles are remote and open to candidates in the US and Canada. Ideal candidates possess strong TypeScript, React, Node.js, and PostgreSQL experience, and a passion for developer tools and improving developer workflows. Infisical emphasizes a collaborative, fast-paced environment and offers competitive salary and equity.
Several Hacker News commenters expressed skepticism about Infisical's claim of being "secretless," questioning how they could truly guarantee zero knowledge of user secrets. Others pointed out the competitive landscape of secrets management, wondering how Infisical differentiated itself from established players like HashiCorp Vault. There was also discussion around the security implications of open-sourcing their client, with some arguing it increased transparency and auditability while others raised concerns about potential vulnerabilities. Some users were interested in the remote work policy and the specific technologies used. Finally, a few commenters shared positive experiences with the Infisical product.
This blog post details the author's journey building a web application entirely in Clojure, aiming for simplicity and a unified development experience. It focuses on the initial steps of setting up a basic HTTP server using only Clojure's core library, handling requests, and serving static files. The author emphasizes the educational value of understanding the underlying mechanisms of web servers and demonstrates a barebones implementation, bypassing common frameworks like Ring or HTTP Kit. The ultimate goal is to explore and understand every layer of a web application, from handling requests to database interactions, all within the Clojure ecosystem.
Hacker News users generally praised the article for its clear writing style and comprehensive approach to building a web application in Clojure. Several commenters appreciated the author's focus on fundamentals and the decision to avoid frameworks, seeing it as a valuable learning experience. Some pointed out potential improvements or alternative approaches, like using a library for routing or templating. One commenter highlighted the author's choice to handle sessions manually as a notable example of this focus on foundational concepts. There was also a short discussion on the benefits of using Clojure's immutable data structures. Overall, the comments reflect a positive reception to the article and its educational value for Clojure development.
Biff is a new Clojure web framework designed for simplicity and productivity. It emphasizes a "batteries-included" approach, providing built-in features like routing, HTML templating, database access with HoneySQL, and user authentication. Biff leverages Jetty for its underlying server and Integrant for system configuration and lifecycle management. It aims to streamline web development by offering a cohesive set of tools and sensible defaults, allowing developers to focus on building their application logic rather than configuring disparate libraries. This makes Biff a suitable choice for both beginners and experienced Clojure developers seeking a pragmatic and efficient web framework.
HN users generally express interest in Biff, praising its simplicity, clear documentation, and "batteries included" approach which streamlines common web development tasks. Several commenters favorably compare it to other Clojure web frameworks like Ring, Pedestal, and Reitit, highlighting Biff's easier learning curve and faster development speed. Some express curiosity about its performance characteristics and real-world usage. A few raise concerns about the potential limitations of a "batteries included" framework and the implications of choosing a smaller, newer project. However, the overall sentiment leans towards cautious optimism and appreciation for a fresh take on Clojure web development.
This post emphasizes the importance of monitoring Node.js applications for optimal performance and reliability. It outlines key metrics to track, categorized into resource utilization (CPU, memory, event loop, garbage collection), HTTP requests (latency, throughput, error rate), and system health (disk I/O, network). By monitoring these metrics, developers can identify bottlenecks, prevent outages, and improve overall application performance. The post also highlights the importance of correlating different metrics to understand their interdependencies and gain deeper insights into application behavior. Effective monitoring strategies, combined with proper alerting, enable proactive issue resolution and efficient resource management.
HN users generally found the article a decent introduction to Node.js monitoring, though some considered it superficial. Several commenters emphasized the importance of distributed tracing and application performance monitoring (APM) tools for more comprehensive insights beyond basic metrics. Specific tools like Clinic.js and PM2 were recommended. Some users discussed the challenges of monitoring asynchronous operations and the value of understanding event loop delays and garbage collection activity. One commenter pointed out the critical role of business metrics, arguing that technical metrics are only useful insofar as they impact business outcomes. Another user highlighted the increasing complexity of modern monitoring, noting the shift from simple dashboards to more sophisticated analyses involving machine learning.
Hardcover initially chose Next.js for its perceived performance benefits and modern tooling. However, they found the complexity of managing client-side state, server components, and various JavaScript tooling cumbersome and ultimately slowed down development. This led them back to Ruby on Rails, leveraging Inertia.js to bridge the gap and provide a more streamlined, productive development experience. While still appreciating Next.js's strengths, they concluded Rails offered a better balance of performance and developer velocity for their specific needs, particularly given their existing Ruby expertise.
Hacker News commenters largely debated the merits of Next.js vs. Rails, with many arguing that the article presented a skewed comparison. Several pointed out that the performance issues described likely stemmed from suboptimal Next.js implementations, particularly regarding server-side rendering and caching, rather than inherent framework limitations. Others echoed the article's sentiment about the simplicity and developer experience of Rails, while acknowledging Next.js's strengths for complex frontends. A few commenters suggested alternative approaches like using Rails as an API backend for a separate frontend framework, or using Hotwire with Rails for a more streamlined approach. The overall consensus leaned towards choosing the right tool for the job, recognizing that both frameworks have their strengths and weaknesses depending on the specific project requirements.
This blog post details the implementation of a Flash Attention back end within a custom shading language (SGLang). It focuses on optimizing the attention mechanism, a core component of transformer models, for both speed and memory efficiency, specifically targeting GPUs. The author explains the foundational concepts of Flash Attention, emphasizing its tiled multiplication approach to minimize memory reads and writes. They then delve into the implementation specifics within SGLang, covering key aspects like handling block-sparse operations and managing the key-value (KV) cache, which is crucial for maintaining performance across multiple attention layers. The post demonstrates how to represent and manipulate tensors within SGLang and how to effectively utilize GPU hardware for optimal execution of the Flash Attention algorithm.
Hacker News users discussed the challenges and potential benefits of implementing Flash Attention. Several commenters pointed out the complexity of the algorithm and the difficulty of achieving optimal performance, especially concerning memory management. Some questioned the suitability of SGLang for such a performance-sensitive task, advocating for lower-level languages like CUDA. Others expressed interest in the approach and appreciated the author's clear explanation, while also suggesting potential optimizations and alternative strategies like using Triton or OpenAI's kernels. The discussion highlighted the trade-offs between performance, complexity, and portability when implementing Flash Attention.
The Hacker News post introduces a new platform for learning Node.js through interactive video tutorials. The platform allows users to not only watch the tutorial videos, but also edit and run the code examples directly within the browser, providing a hands-on learning experience. This eliminates the need to switch between the video and a separate code editor, streamlining the learning process and allowing for immediate experimentation and feedback.
HN users generally reacted positively to the Node.js video tutorial project. Several appreciated the interactive coding environment integrated into the videos, finding it a valuable learning tool. Some suggested improvements, like adding keyboard shortcuts, improving mobile responsiveness, and implementing features found in other interactive coding platforms like saving progress and forking examples. One commenter pointed out the creator's previous work, highlighting the consistency and quality of their educational resources. Others offered technical feedback regarding the choice of UI library and suggested alternatives for enhanced performance and user experience. A few users expressed skepticism about the effectiveness of video-based learning for programming but acknowledged the potential of the interactive elements to address some of those concerns.
Herb is a new command-line tool and Rust library designed to improve the developer experience of working with ERB (Embedded Ruby) templates. It focuses on accurate and efficient parsing of HTML-aware ERB, addressing issues like incorrect syntax highlighting and code completion in existing tools. Herb offers features such as syntax highlighting, formatting, linting (with custom rules), and symbolic renaming within ERB templates, enabling more productive development and refactoring of complex view logic. By understanding the underlying HTML structure, Herb can provide more contextually relevant results and prevent issues common in tools that treat ERB as plain text or simple HTML. It aims to become an essential tool for Ruby on Rails developers and anyone working extensively with ERB.
Hacker News users generally praised Herb for its innovative approach to templating, particularly its HTML-awareness and the potential for improved refactoring capabilities. Some expressed excitement about its ability to parse and manipulate ERB templates more effectively than existing tools. A few commenters questioned the long-term viability of the project given its reliance on Tree-sitter, citing potential maintenance challenges and parser bugs. Others were curious about specific use cases and integration with existing Ruby tooling. Performance concerns and the overhead introduced by parsing were also mentioned, but overall the reception was positive, with many expressing interest in trying out Herb.
This post outlines a vision for first-class WebAssembly support in Swift, enabling developers to compile Swift code directly to Wasm for use in web browsers and other Wasm environments. The proposal emphasizes seamless integration with existing JavaScript ecosystems, allowing bidirectional communication between Swift and JavaScript code. It also aims for near-native performance by leveraging Wasm's capabilities, and proposes tools and workflows to simplify the development process, such as automatic generation of JavaScript bindings for Swift code. The ultimate goal is to empower Swift developers to build high-performance web applications and leverage the growing Wasm ecosystem, while maintaining Swift's core values of safety, performance, and expressiveness.
Hacker News users discussed the potential and challenges of Swift for WebAssembly. Some expressed excitement about the prospect of using Swift for frontend development, highlighting its performance and type safety as advantages over JavaScript. Others were more cautious, pointing to the existing maturity of JavaScript and its ecosystem, and questioning whether Swift could gain significant traction. Concerns were raised about the size of Swift compiled output and the integration with existing JavaScript libraries and frameworks. The potential for full-stack Swift development and server-side applications with WebAssembly was also mentioned as a motivating factor. Several users suggested that prioritizing the developer experience and tooling would be crucial for adoption.
Plain is a Python web framework focused on simplicity and productivity for building web applications and APIs. It embraces a "batteries-included" approach, offering built-in features like routing, templating, database access (using SQLite by default), form handling, and security measures against common vulnerabilities. Designed for a straightforward developer experience, Plain emphasizes minimal configuration and intuitive APIs, promoting rapid development and easy maintenance. It aims to provide a lightweight yet powerful foundation for projects ranging from small utilities to larger web products.
HN commenters generally expressed interest in Plain, praising its simplicity and focus on serving HTML. Several appreciated the "batteries included" approach for common tasks like forms and authentication, contrasting it favorably with Django's complexity. Some questioned the performance implications of generating HTML with Python, and others desired more details on the templating language. A few commenters noted the similarity to other Python frameworks like Flask or Pyramid, prompting discussion about Plain's unique selling points and potential niche. There was also some skepticism about the project's longevity given the prevalence of existing frameworks. However, the overall sentiment was positive, with many looking forward to trying it out.
The blog post explores using Phlex, a Ruby HTML templating library, as a replacement for ERB in Rails Action Mailer. It highlights Phlex's component-based approach, allowing for reusable email templates and a more organized code structure compared to traditional ERB files. The author demonstrates how to set up Phlex within a Rails project, including configuration adjustments and creating view components specifically for emails. They showcase the benefits of using Phlex, like cleaner syntax, improved maintainability through component reusability, and a more intuitive way to manage email layouts and partials. Ultimately, the post positions Phlex as a modern alternative to ERB for building emails in Rails, offering a more streamlined and manageable development experience.
HN users generally expressed interest in Phlex as an alternative to ERB for Rails email templating, praising its cleaner syntax and potential performance benefits due to compiled templates. Some questioned the practicality of another templating language, citing the existing ecosystem around ERB and the learning curve involved. Others noted that while Phlex offered improvements, the article's benchmark showing only a 20% improvement wasn't compelling enough to justify switching. There was also discussion around the complexity of view components within emails and whether Phlex sufficiently addressed those challenges. Finally, some users compared Phlex to other templating options like Slim and wondered about the real-world performance difference, especially within the context of email rendering where other factors might dominate performance.
The Dashbit blog post explores the practicality of embedding Python within an Elixir application using the erlport library. It demonstrates how to establish a connection to a Python process, execute Python code, and handle the results within Elixir. The author highlights the ease of setup and basic interaction, while acknowledging the performance limitations inherent in this approach, particularly the serialization overhead. While suitable for specific use cases like leveraging existing Python libraries or integrating with Python-based services, the post cautions against using it for performance-critical tasks. Instead, it recommends exploring alternative solutions like dedicated Python services or rewriting performance-sensitive code in Elixir for optimal integration.
Hacker News users discuss the practicality and potential benefits of embedding Python within Elixir applications. Several commenters highlight the performance implications, questioning whether the overhead introduced by the bridge outweighs the advantages of using Python libraries. One user suggests that using a separate Python service accessed via HTTP might be a simpler and more performant solution in many cases. Another points out that the real advantage lies in gradually integrating Python for specific tasks within an existing Elixir application, rather than building an entire system around this approach. Some discuss the potential usefulness for data science tasks, leveraging existing Python tools and libraries within an Elixir system. The maintainability and debugging aspects of such hybrid systems are also brought up as potential challenges. Several commenters also share their experiences with similar integration approaches using other languages.
Ruby on Rails remains relevant due to its mature ecosystem, developer productivity, and cost-effectiveness. Its convention-over-configuration approach, vast library of gems, and active community allow for rapid prototyping and development, making it ideal for startups and projects requiring fast iteration. While newer frameworks like Next.js offer advantages in certain areas, Rails excels in its simplicity and robust tooling, enabling businesses to quickly build and deploy complex applications without significant upfront investment, especially when experienced Rails developers are readily available. The framework's stability and focus on developer happiness contribute to its enduring appeal in a rapidly evolving landscape.
Hacker News users discuss the merits of Rails versus Next.js, generally agreeing that both have their place. Some commenters highlight Rails' maturity and developer-friendly ecosystem as key advantages, especially for rapid prototyping and less complex applications. Others point out Next.js's performance benefits and suitability for larger, more dynamic projects. The maintainability of JavaScript versus Ruby is debated, with some arguing for Ruby's cleaner syntax and easier long-term maintenance. Several commenters note the importance of choosing the right tool for the specific project, emphasizing factors like team expertise and project requirements. The overall sentiment suggests that Rails remains a relevant and valuable framework, despite the increasing popularity of JavaScript-based solutions like Next.js.
After a year of using Go professionally, the author reflects positively on the switch from Java. Go's simplicity, speed, and built-in concurrency features significantly boosted productivity. While missing Java's mature ecosystem and advanced tooling, particularly IntelliJ IDEA, the author found Go's lightweight tools sufficient and appreciated the language's straightforward error handling and fast compilation times. The learning curve was minimal, and the overall experience improved developer satisfaction and project efficiency, making the transition worthwhile.
Many commenters on Hacker News appreciated the author's honest and nuanced comparison of Java and Go. Several highlighted the cultural differences between the ecosystems, noting Java's enterprise focus and Go's emphasis on simplicity. Some questioned the author's assessment of Go's error handling, arguing that it can be verbose, though others defended it as explicit and helpful. Performance benefits of Go were acknowledged but some suggested they might be overstated for typical applications. A few Java developers shared their positive experiences with newer Java features and frameworks, contrasting the author's potentially outdated perspective. Several commenters also mentioned the importance of choosing the right tool for the job, recognizing that neither language is universally superior.
Ruby on Rails applications can now run directly in web browsers thanks to WebAssembly. This is achieved using a new project called "Spreetail/wunderbar-wasm", which compiles Ruby and Rails to WASM using a custom-built toolchain. This allows developers to build full-stack Rails apps that execute client-side, offering potential performance benefits for certain applications by reducing server roundtrips. The WASM approach allows for offline functionality and removes the need for separate frontend and backend deployments. While still experimental, this technology opens up new possibilities for building web applications with Ruby on Rails.
Hacker News commenters expressed skepticism about the practicality of running Ruby on Rails in the browser via WebAssembly. Concerns focused on performance, particularly startup time and overall speed, doubting it would be suitable for production applications. Some suggested alternative approaches for achieving similar functionality, like using a server-rendered backend with a JavaScript frontend framework. Others questioned the use cases, wondering if the complexity was worth the effort compared to established approaches. Several commenters pointed to the large size of the Wasm bundle as a major drawback. A few expressed cautious optimism, acknowledging the technical achievement while remaining unsure of its real-world applicability. Finally, some highlighted the potential benefits for specific niches, such as online code editors or interactive tutorials.
This post explores architectural patterns for adding realtime functionality to web applications. It covers techniques ranging from simple polling and long-polling to more sophisticated approaches like Server-Sent Events (SSE) and WebSockets. The author emphasizes choosing the right tool for the job based on factors like data volume, connection latency, and server resource constraints. They also discuss the importance of considering connection management, message ordering, and error handling. The post provides practical advice and code examples using JavaScript and Node.js to illustrate the different patterns, highlighting their strengths and weaknesses. Ultimately, it aims to give developers a clear understanding of the available options for building realtime features and empower them to make informed decisions based on their specific needs.
HN users generally praised the article for its clear explanations and practical approach to building realtime features. Several commenters highlighted the value of the "pull vs. push" breakdown and the discussion of different polling strategies. Some questioned the long-term viability of polling-based solutions and advocated for WebSockets or server-sent events for true real-time experiences. A few users shared their own experiences and preferences with specific technologies like LiveView and Elixir's Phoenix Channels. There was also some discussion about the trade-offs between complexity, performance, and scalability when choosing different realtime approaches.
Tracebit, a system monitoring tool, is built with C# primarily due to its performance characteristics, especially with regards to garbage collection. While other languages like Go and Rust offer memory management advantages, C#'s generational garbage collector and allocation patterns align well with Tracebit's workload, which involves short-lived objects. This allows for efficient memory management without the complexities of manual control. Additionally, the mature .NET ecosystem, cross-platform compatibility offered by .NET, and the team's existing C# expertise contributed to the decision. Ultimately, C# provided a balance of performance, productivity, and platform support suitable for Tracebit's needs.
Hacker News users discussed the surprising choice of C# for Tracebit, a performance-sensitive tracing tool. Several commenters questioned the rationale, citing potential performance drawbacks compared to C/C++. The author defended the choice, highlighting C#'s developer productivity, rich ecosystem (especially concerning UI development), and the performance benefits of using native libraries for the performance-critical parts. Some users agreed, pointing out the maturity of the .NET ecosystem and the relative ease of finding C# developers. Others remained skeptical, emphasizing the overhead of the .NET runtime and garbage collection. The discussion also touched upon cross-platform compatibility, with commenters acknowledging .NET's improvements in this area but still noting some limitations, particularly regarding native dependencies. A few users shared their positive experiences with C# in performance-sensitive contexts, further fueling the debate.
Scaling WebSockets presents challenges beyond simply scaling HTTP. While horizontal scaling with multiple WebSocket servers seems straightforward, managing client connections and message routing introduces significant complexity. A central message broker becomes necessary to distribute messages across servers, introducing potential single points of failure and performance bottlenecks. Various approaches exist, including sticky sessions, which bind clients to specific servers, and distributing connections across servers with a router and shared state, each with tradeoffs. Ultimately, choosing the right architecture requires careful consideration of factors like message frequency, connection duration, and the need for features like message ordering and guaranteed delivery. The more sophisticated the features and higher the performance requirements, the more complex the solution becomes, involving techniques like sharding and clustering the message broker.
HN commenters discuss the challenges of scaling WebSockets, agreeing with the article's premise. Some highlight the added complexity compared to HTTP, particularly around state management and horizontal scaling. Specific issues mentioned include sticky sessions, message ordering, and dealing with backpressure. Several commenters share personal experiences and anecdotes about WebSocket scaling difficulties, reinforcing the points made in the article. A few suggest alternative approaches like server-sent events (SSE) for simpler use cases, while others recommend specific technologies or architectural patterns for robust WebSocket deployments. The difficulty in finding experienced WebSocket developers is also touched upon.
Sei, a Y Combinator-backed company building the fastest Layer 1 blockchain specifically designed for trading, is hiring a Full-Stack Engineer. This role will focus on building and maintaining core features of their trading platform, working primarily with TypeScript and React. The ideal candidate has experience with complex web applications, a strong understanding of data structures and algorithms, and a passion for the future of finance and decentralized technologies.
The Hacker News comments express skepticism and concern about the job posting. Several users question the extremely wide salary range ($140k-$420k), viewing it as a red flag and suggesting it's a ploy to attract a broader range of candidates while potentially lowballing them. Others criticize the emphasis on "GenAI" in the title, seeing it as hype-driven and possibly indicating a lack of focus. There's also discussion about the demanding requirements listed for a "full-stack" role, with some arguing that the expectations are unrealistic for a single engineer. Finally, some commenters express general wariness towards blockchain/crypto companies, referencing previous market downturns and questioning the long-term viability of Sei.
This post serves as a guide for Django developers looking to integrate modern JavaScript into their projects. It emphasizes moving away from relying solely on Django's templating system for dynamic behavior and embracing JavaScript's power for richer user experiences. The guide covers setting up a development environment using tools like webpack and npm, managing dependencies, and structuring JavaScript code effectively within a Django project. It introduces key concepts like modules, imports/exports, asynchronous programming with async/await, and using modern JavaScript frameworks like React, Vue, or Svelte for building dynamic front-end interfaces. Ultimately, the goal is to empower Django developers to create more complex and interactive web applications by leveraging the strengths of both Django and a modern JavaScript workflow.
HN commenters largely discussed their preferred frontend frameworks and tools for Django development. Several championed HTMX as a simpler alternative to heavier JavaScript frameworks like React, Vue, or Angular, praising its ability to enhance Django templates directly and minimize JavaScript's footprint. Others discussed integrating established frameworks like React or Vue with Django REST Framework for API-driven development, highlighting the flexibility and scalability of this approach. Some comments also touched upon using Alpine.js, another lightweight option, and the importance of considering project requirements when choosing a frontend approach. A few users cautioned against overusing JavaScript, emphasizing Django's strengths for server-rendered applications.
Raycast, a productivity tool startup, is hiring a remote, full-stack engineer based in the EU. The role offers a competitive salary ranging from €105,000 to €160,000 and involves working on their core product, extensions platform, and community features using technologies like React, TypeScript, and Node.js. Ideal candidates have experience building and shipping high-quality software and a passion for developer tools and improving user workflows. They are looking for engineers who thrive in a fast-paced environment and are excited to contribute to a growing product.
HN commenters discuss Raycast's hiring post, mostly focusing on the high salary range offered (€105k-€160k) for remote, EU-based full-stack engineers. Some express skepticism about the top end of the range being realistically attainable, while others note it's competitive with FAANG salaries. Several commenters praise Raycast as a product and express interest in working there, highlighting the company's positive reputation within the developer community. A few users question the long-term viability of launcher apps like Raycast, while others defend their utility and potential for growth. The overall sentiment towards the job posting is positive, with many seeing it as an attractive opportunity.
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https://news.ycombinator.com/item?id=44142436
Several Hacker News commenters expressed skepticism about the advertised Senior AI/TypeScript Engineer position at AccessOwl. Some questioned the genuine need for AI expertise for the described role of connecting SaaS APIs, suggesting it was more of a traditional integration engineering task. Others criticized the vague description of "AI-enabled," viewing it as potentially misleading or simply an attempt to capitalize on current AI hype. A few commenters also questioned the low end of the offered salary range ($70k) for a "senior" role, especially one involving AI, in a major tech hub like Seattle. There was some discussion on the challenges and complexities of SaaS integrations, but the overall sentiment leaned towards caution and skepticism regarding the role's actual AI component.
The Hacker News post discussing the AccessOwl (YC S22) job opening for an AI-enabled Senior Software Engineer (TypeScript focus) has generated several comments, primarily focusing on the compensation offered and the perceived ambiguity in the job description.
Several commenters questioned the listed salary range of $60k-$90k, considering it significantly below market rate for a senior software engineer, particularly one specializing in AI and located in a potentially high-cost area (though the job posting allows for remote work). They argued that this low salary range might discourage qualified candidates from applying. Some speculated that the company might be targeting engineers in locations with lower cost of living, while others suggested it might be an error or simply a lowball offer.
One commenter pointed out the seemingly contradictory requirements of being both "senior" and needing "close mentorship." They expressed concern that this discrepancy might indicate a lack of clear expectations for the role.
Another commenter questioned the broad scope of the job description, referencing the phrase "connect 100s of SaaS." They suggested that this vague wording makes it difficult to understand the specific tasks and responsibilities involved, potentially hiding a much larger and more complex undertaking than the title suggests. This commenter also questioned the need for AI expertise given the apparent focus on integrations.
A few commenters discussed the use of AI in SaaS integrations, debating whether it's a genuinely useful application or simply a buzzword employed to attract attention. Some expressed skepticism about the actual role of AI in the described position.
Overall, the comments reflect a cautious and somewhat critical perspective on the job posting. The primary concerns revolve around the seemingly low salary for a senior role, the ambiguity in the job description, and the potentially inflated emphasis on AI.