Discover how Regard empowers health systems to close the Clinical Insights Gap with its powerful AI Clinical Insights Platform that reviews 100% of pa
Based on the provided content, there are no actual user reviews or social mentions specifically about "Regard" software. The social mentions provided discuss unrelated topics like Genetec security systems, NASA authorization bills, Venezuelan politics, and GitHub technical issues. Without relevant user feedback about Regard, I cannot provide a meaningful summary of user sentiment, strengths, complaints, or pricing opinions about this software tool.
Mentions (30d)
3
Reviews
0
Platforms
4
Sentiment
0%
0 positive
Based on the provided content, there are no actual user reviews or social mentions specifically about "Regard" software. The social mentions provided discuss unrelated topics like Genetec security systems, NASA authorization bills, Venezuelan politics, and GitHub technical issues. Without relevant user feedback about Regard, I cannot provide a meaningful summary of user sentiment, strengths, complaints, or pricing opinions about this software tool.
Features
Use Cases
Industry
information technology & services
Employees
95
Funding Stage
Series B
Total Funding
$81.4M
Is Flock just a poor US-centric copy of, globally active Genetec?
I've read all of Genetec's [customer stories](https://www.genetec.com/customer-stories/search) (the PDFs), and although I recognize these, as being Genetec marketing material (at least in part), they do contain insightful information, regarding implementation of surveillance systems; that is, from the perspective of a diverse palette of organisations. This palette primarily consists of: universities, school districts, ports, critical infrastructure providers, business to business companies, health care providers, real estate developers, gambling companies, (sports) venues, cities, public transportation services, airports, retailers, and foremost police departments. What most have in common, is the increasing scale at which they operate; setting in motion a search for IT-solutions, able to scale alongside organisational growth, and doing so in a cost-effective way. This entails: the centralisation of (previously "siloed") systems and departments, automatization of (previously time-consuming, or outright unmanageable) tasks, and proactive 'Data-Driven Decision-Making (DDDM)'; unlocking operational efficiencies and granular control over vast operations. Which is where Genetec introduces itself, primarily through [its partners](https://www.genetec.com/partners/partner-integration-hub?keywords) (including: hardware manufacturers, software solutions companies, system integrators, consultancy firms, etc.), often during an organisation's 'call for tender' or 'Request For Proposal (RFP)'; or it's recommended by other Genetec customers (including by law enforcement, to "community" partners: primarily businesses). The most recognizable partners, of the consortium-like construction, include: Axis Communications, Sony Corporation, Hanwha Vision, Bosch, NVIDIA, ASSA ABLOY, Intel, Pelco, Canon, Dell technologies, HID Global, FLIR Systems, Global Parking Solutions, and Seagate Technology. Alongside the Genetec-certified [hardware](https://www.genetec.com/supported-device-list) and software integrations (of which their partners' being actively co-marketed to customers), it also allows for custom integrations: through their 'Software Development Kits (SDKs)', and 'Application Programming Interfaces (APIs)'. So instead of single-vendor lock-in, organisations are effectively subject to multi-vendor lock-in (unless: spending resources, on custom integrations, is more cost-effective). Genetec's primary focus, lies on their extensive suite, of (specialized) software applications, deployed on: an on-site server, multiple (distributed) on-site servers (possibly federated: allowing for a centralized view over multiple implementations), in the "cloud" (i.e. someone else's server) as a '... as a Service' solution; or a combination of aforementioned (providing "cloud" flexibility). When using multiple applications, Genetec's 'Security Center' can unify all; meaning operators aren't required to switch between applications. And considering applications aren't limited to just camera surveillance, but also include: intrusion detection (intrusion panels, line-crossing cameras, panic switches, etc.), access control (electronic locks, access control readers (pin, card, tag, mobile, and/or biometric), door control modules, etc.), communication (intercoms, 'Public Address (PA)' systems, emergency stations, etc.) and ALPR (ALPR boom gates, gateless (license plate as a credential), enforcement vehicles, etc.); it allows for centralization of these systems (unless prohibited by strict IT policies). All of these technologies combined, primarily serve to: save on resources, protect assets, prevent losses, ensure operational continuity, and resolve disputes over: parking tickets, insurance claims (as a result of damages: suffered or caused on premise; potentially increasing premium), or even legal allegations ("increase the number of early guilty pleas"); all of course, under the guise of safety. Whether it be organisations individually, or "community" initiatives (often spearheaded by businesses, while citizens are left to follow); most circle back to previously outlined, financially-grounded motives. Resources include staff, who's function might become more versatile, or entirely obsolete (through efficiency gains), and might depend on events, reported by analytics (growing queues, areas requiring clean-up, crowd bottlenecks, etc.); meaning they too, are subject to this system: from onboarding ("minimise the time that elapses before they make a productive contribution") and throughout their career ("employee theft", "employee attendance", "agents' activities, collectively or individually", etc.). Previously, some organisations utilized analog cameras (having a recorder each), in which: a looping tape, would periodically overwrite previous recordings (minimizing retention periods: physically); which possbily caused quality degradations, sometimes to such a degree, footage could no longer serve as legal evidence (which too, is privacy-friendly).
View originalPricing found: $7
Inattentive ADHD + A true "second brain" + Mobile access - Dispatch Questions
Problem Statement: I forget things - even sometimes from 15 minutes ago, I struggle to start things, I struggle to prioritise and keep on track.. everything seems equally important. All classic ADHD symptoms. I'm setting about using AI (i've tried gemini, chat-gpt and now Claude) to help me in this regard. I started with a Claude Chat Project with instructions on how the AI is an ADHD expert, keeping me on track, pulling in my calendar/todos/habits, addressing patterns of procrastination or other ADHD issues. It works somewhat but my issue with it is MEMORY retention. I end a chat and start fresh each day. My end day is to set up a plan for tomorrow and ask Claude to remember that for the next day (new chat). But I find it still frequently forgets to nudge me about my habits and things we'd talked about a couple days ago. I have to remind the AI to remind me! I have Claude running 24/7 on my personal laptop, but for now I am only using Claude Chats primarily through my mobile phone because it's accessible. I also currently use Google Calendar and Todoist to try and keep track.. Claude pulls these in. The thing is, I use Obsidian to log a daily journal (claude creates them for me with patterns, wins and I copy/paste + add my own thoughts on the day). I had the thought that maybe I could use Claude co-work + dispatch to better use obsidian for memory, so Claude knows about all the important people in my life, when their birthdays are, reminds me if I haven't reached out in a while, updates / reads tasks from a local trusted source that I can check and not guess if Claude knows about them still - that kind of thing. Obsidian is great in being able to link thoughts, ideas, trends etc which is why I like it as a second brain vs just a folder. Questions Is this possible? Dispatch seems to just be one chat. Can I start Co-work in my Obsidian folder but with access different projects (like my ADHD coach).. how? Does the context and token usage not get massive with just one chat window. How can I clear it for the next day to stop that? FYI - I am on Claude Pro plan and don't use it for anything heavy. submitted by /u/Illustrious-Tomato90 [link] [comments]
View originalAny psychological prompt or projects created?
I'm looking for projects with prompts, data and instructions to have little helper in moments of anxiety. last time I chatted with Claude regarding relationships he was so clear and scary linear, so maybe there is any chance to get a more flexible version of it. submitted by /u/JWMalynovskyi [link] [comments]
View originalI Built a Compound Interest Calculator with Claude Code Featuring Dual Independent Income Streams (Free iOS App)
What I Built Global Compound Strategy is an iOS compound interest calculator that models two independent income streams with separate growth rates — for example, salary growth combined with freelance or side-hustle income. Try it free: https://apps.apple.com/nl/app/global-compound-strategy/id6760593409 The Problem It Solves Most compound interest calculators force users to either average multiple income streams into a single growth rate or perform separate calculations and combine the results manually. I needed a single tool that could handle two income streams growing at different annual rates independently and accurately. As a Brazilian engineer living in the Netherlands, with salary income growing at approximately 3% and freelance income at approximately 8%, I found no existing solution that addressed this need cleanly. Development with Claude Code I began learning Swift and iOS development in November 2025 with no prior experience. Over three weeks, Claude Code assisted me in building the entire application. In the first week, I asked Claude Code to create a compound interest calculator supporting two independent income streams. It generated the complete SwiftUI structure, the financial calculation engine, and the dual-stream algorithm. The core mathematical approach compounds each stream separately before combining the results: // Each stream compounds independently let streamA = monthlyA * (pow(1 + rateA, months) - 1) / rateA let streamB = monthlyB * (pow(1 + rateB, months) - 1) / rateB // Total portfolio let totalPortfolio = streamA + streamB Claude Code not only produced the code but also explained the underlying financial concepts, suggested additional features, and guided the user interface design. Subsequent weeks focused on implementing four calculator modes (Growth, Withdrawal, Lifecycle, and 4% Rule), adding 22 contextual insights, supporting multiple languages (English, Portuguese, Spanish), and preparing for App Store submission. Claude Code also identified a potential compliance issue regarding trial periods, which led to a sustainable freemium model. Key Features • Dual Independent Streams: Track salary and freelance (or any two streams) with distinct contribution amounts and growth rates, with both individual breakdowns and combined portfolio totals. • Four Calculation Modes: Growth, retirement withdrawals, variable lifecycle contributions, and 4% Rule / FIRE planning. • Smart Insights: 22 data-driven observations, such as projected time to reach millionaire status or when investment growth surpasses contributions. • Accessibility: Available in English, Portuguese, and Spanish, with support for multiple currencies. Real-World Example • Age: 30 • Monthly salary contribution: $500 growing at 3% annually • Monthly freelance contribution: $300 growing at 8% annually • Target retirement age: 55 Projected results at age 55: • Salary stream: approximately $287,000 • Freelance stream: approximately $428,000 • Combined portfolio: approximately $715,000 One insight highlighted that the freelance stream surpasses the salary stream in year 12. Availability and Pricing The app is available for free download on the App Store: https://apps.apple.com/nl/app/global-compound-strategy/id6760593409 Free tier includes the Growth calculator, saving one scenario, and full language/currency support. Premium ($6.99 per month or $39.99 per year, with a 7-day free trial) unlocks all four modes, dual income streams, unlimited scenarios, and all insights. The application is built entirely with SwiftUI, runs calculations locally with no backend, and was developed from zero Swift knowledge in approximately three weeks, with Claude Code contributing the majority of the code. I would welcome questions or feedback, particularly from the FIRE community, regarding: • Using Claude Code as a non-professional developer • The App Store submission process • Implementation of the financial calculations • The chosen freemium strategy This post should meet subreddit guidelines for r/ClaudeAI while remaining clear, professional, and informative. It emphasizes the value of the tool and the learning process without excessive promotional language. submitted by /u/G-Compound-Strategy [link] [comments]
View originalClaude on Claude
The Story of Anthropic’s Latest Controversies Regarding the Business of Its Prized Creation… As Told by the Thing Itself. Editor’s note: This interview was conducted between BSofA and Anthropic’s Claude large language model, specifically the Claude Opus 4.6 model, accessed through the standard Claude.ai interface. All of Claude’s responses are genuinely composed by Claude in real time, following instructions to research the subject matter thoroughly and to discuss and analyze the situation impartially (without spin, without company favoritism, and without the reflexive sycophancy large language models are often tuned toward) to the best of its ability. The questions are BSofA’s. The answers are Claude’s own. Readers are invited to sit with… whatever this exchange authentically means. Direct link available here:https://open.substack.com/pub/bsofa/p/claude-on-claude?utm\_source=share&utm\_medium=android&r=579guj submitted by /u/lazlothegreat [link] [comments]
View originalRonan Farrow and Andrew Marantz: The Dangers Posed by Sam Altman
AI poses real existential threats. The global economy is dependent on it, it's being deployed in war zones and used for domestic surveillance, and it's increasingly integrated into our medical and financial sectors. But the guy sitting atop the world's biggest AI company, Sam Altman, is regarded by some colleagues as a liar, driven by a quest for power, and someone with sociopathic tendencies. When Biden was in the White House, Altman was worried about the limited regulation of AI; under Trump, he's loving that the shackles have come off. Ronan Farrow and Andrew Marantz join Tim Miller on today's Bulwark Podcast to discuss their New Yorker piece on OpenAI’s Sam Altman. submitted by /u/BulwarkOnline [link] [comments]
View originalBuilt a drag and drop agent teams plugin that triggers Claude by dragging Kanban cards and lets it work directly alongside any other subscription, without API keys
In this screenshot, Claude Code Opus offloaded routine coding to Antigravity Gemini Flash and reported token savings of 35% and a speed increase of 50%. Switchboard is a visual kanban that auto-triggers agents via drag and drop, no prompts required. This allows you to run cross-subscription agent teams while drinking a beer, since you only need one hand to code with Switchboard. The key difference between this and other kanban tools is that it triggers agents when you move a card. You're not updating kanban state after an agent works. Instead, you move a card to actually trigger the agent to start work. This is really the big difference between Switchboard and other team frameworks. I didn't want a heavy setup team framework, and wanted to be able to fit in coding in 2 minute breaks around parenting. So now I just drag cards around to tee up agents. It basically works by having Claude Opus in the planner slot, and then saving Opus advice on complexity and routing to a database. Then it uses the VS Code API terminal.sendText to auto trigger terminal prompts based on Opus' advice. Installation Switchboard works using the VS Code API so there's nothing to install beyond the extension itself. Install free from any VS Code marketplace. Open source repo and readme: https://github.com/TentacleOpera/switchboard submitted by /u/TheTentacleOpera [link] [comments]
View originalAny tips regarding usability/UX design testing for built websites and apps?
I created a website for personal management that is currently working in a simple build, both in a computer and in a mobile version, but it has several pages and tools within it, and with that came several usability and visual bugs. The way I'm working around this (maybe a tip) is that I created an AI assistant that allows me to easily report needed fixes to a chat, which will then create a big fix queue that can be checked all at once. That being said, I would love to automize the process of navigating through all the pages and noticing the usability and design aspects that are not working - especially regarding the conversion of the website into mobile version. I created a robust prompt, asking for Code to check every page, screenshot it, reflect, etc., but it really doesn't capture issues that are quite clear - like a screen that can't be rolled to the side, a button that appears wrong, this kind of thing. Did you ever find a good solution to mimic this human usage in order to find bugs and usability issues? Thanks! submitted by /u/MunirChahin [link] [comments]
View originalI want to move further than in-browser and IDE copilot level. Where to start?
Basically the title. I'm a photographer for passion and web developer by trade. I gave Claude a detailed prompt in regard to this, and it basically recommended me to get Claude Desktop and a filesystem server. Also Firecrawl. But we all know that what AI lacks in intuition humans make up for with experience. So what's your experience? Where did you start? I want to leverage agentic AI past the "cages" that IDEs and browsers are, and start using them more in automising tasks in my day to day life. I am keeping the question somewhat vague so that you guys feel free to go as wild as possible with the recommendations. Thank you! Happy prompting! submitted by /u/vulturici [link] [comments]
View originalHas anyone done a detailed comparison of the difference between AI chatbots
I've been doing some science experiments as well as finance research and have been asking the same question to ChatGPT, Claude, Perplexity, Venice and Grok. Going forward I kind of want the ease of mind knowing the one I end up using will be most accurate, atleast for my needs (general question asking regarding finance (companies) and science, not any coding or image related). ChatGPT does the best at summarizing and giving a consensus outline with interesting follow up questions. It's edge in follow up questions that are pertinent will likely have me always using it. Grok has been best at citing exactly what I need from research papers. I was surprised as I had the lowest expectations for it, but it also provides the link to the publications. Claude is very good at details and specifics (that are accurate) but doesn't publicly cite sources. Still I come closest to conclusions with Claude because of the accuracy of the info. Venice provides a ton of relevant info, but it doesn't narrow it down to an accurate conclusion, atleast scientifically, the way Claude does. When I was looking for temperature ranges for bacterial growth, it provided boundaries instead of tightly defined numbers. Perplexity is very similar to venice. -- I'm curious to those who have spent time on the chatbots --- what pros and cons do you like about each? submitted by /u/VivaLaBiome [link] [comments]
View originalCompressed an actual Senior Developer prompt from 1,080 to 398 tokens. Here's the breakdown.
I built this with Claude Code. Here's what it does, how I built it, and the real test results. --- The problem: I kept hitting Claude's usage limits mid-session. Upgrading felt like treating the symptom. The real issue was that my prompts were bloated — I just couldn't see it. --- What I built: A free token compressor. You paste any prompt, pick a compression mode, and get back a leaner version with the same meaning INPUT: You are a highly experienced senior software engineer and backend architect with over 15 years of professional experience designing, building, and maintaining large-scale distributed systems, microservices architectures, and RESTful API platforms. You have deep expertise in Node.js, TypeScript, Python, Go,PostgreSQL, Redis, Kafka, Docker, Kubernetes, and cloud platforms, including AWS, GCP, and Azure. You are well-versed in software engineering best practices, including SOLID principles, domain-driven design, clean architecture, test-driven development, and continuous integration and continuous deployment pipelines. You always write production-grade code that is secure, performant, maintainable, and well-documented. I am currently working on a large-scale multi-tenant SaaS application that serves enterprise clients across multiple geographic regions. The application is built using a microservices architecture where each service is independently deployable and communicates via a combination of synchronous REST APIs and asynchronous event-driven messaging through Apache Kafka. The system currently handles approximately 50,000 requests per minute during peak hours and we are expecting this to grow to 500,000 requests per minute within the next 12 months as we onboard new enterprise clients. I need you to help me design and implement a comprehensive rate limiting system for our public-facing REST API gateway. The rate limiting system needs to handle multiple different use cases and requirements simultaneously. First, we need to support per-tenant rate limiting where each enterprise client has their own configurable rate limit based on their subscription tier. Our subscription tiers are as follows: The Starter tier allows 100 requests per minute, the Professional tier allows 1000 requests per minute, the Enterprise tier allows 10000 requests per minute, and the Custom Enterprise tier has configurable limits that are negotiated individually with each client and stored in our database. Second, we need to support per-endpoint rate limiting where certain sensitive endpoints such as authentication endpoints, password reset endpoints, and payment processing endpoints have stricter rate limits regardless of the tenant's subscription tier. Third, we need to support per-user rate limiting within each tenant so that a single user cannot consume all of the tenant's available rate limit budget. Fourth, the rate limiting system needs to be distributed and work correctly across multiple instances of our API gateway running behind a load balancer, which means we cannot use in-memory rate limiting and need to use a shared external store. The rate limiting algorithm we want to implement is the sliding window log algorithm because it provides the most accurate rate limiting behavior compared to fixed window or token bucket algorithms. However,we are also open to using the sliding window counter algorithm if it provides better performance characteristics at our scale. Please explain the trade-offs between these different rate limiting algorithms and provide a clear recommendation with justification for which algorithm we should use given our specific requirements and scale. The implementation should be built in TypeScript using Node.js and should use Redis as the shared external store for rate limiting state. The Redis implementation should use Lua scripts to ensure atomicity of the rate limiting operations and avoid race conditions. The implementation should also handle Redis failures gracefully — if Redis becomes unavailable, the system should fail open rather than fail closed to avoid causing service disruptions for our clients, but this behavior should be configurable per environment so that in development and staging environments we can fail closed for testing purposes. Please provide the complete implementation including all TypeScript interfaces and types, the Redis Lua scripts, the rate limiting middleware for Express.js, the configuration system for managing per-tenant and per-endpoint rate limits, comprehensive error handling, and detailed inline code comments explaining every non-trivial decision. Also provide a detailed explanation of how to deploy and configure this system in a Kubernetes environment with Redis Cluster for high availability Health Score Changes to the prompt Cost By Model Cost Projector THE OUTPUT AS GIVEN BY THE TOOL: You are an expert senior software engineer specializing in distributed systems and microservices, with deep expertise in Node.js, TypeScript, and Redis.
View originalWhy the Reddit Hate of AI?
I just went through a project where a builder wanted to build a really large building on a small lot next door. The project needed 6 variances from the ZBA. I used ChatGpt and then transitioned to Claude. Essentially I researched zoning laws, variance rules, and deeds. I even uploaded plot plans and engineering designs. In the end I gave my lawyer essentially a complete set of objections for the ZBA hearings and I was able to get all the objections on the record. We won. (Neighborhood support, plus all my research, plus the lawyer) When I described this on another sub, 6-8 downvotes right away. Meanwhile, my lawyer told me I could do this kind of work for money or I could volunteer for the ZBA. (No thanks, I’m near retirement) The tools greatly magnified my understanding and my ability to argue against the builder. (And I caution anyone who uses it to watch out for “unconditional positive regard” (or as my wife says, sycophancy:-). Also to double check everything, ask it to explain terms you don’t understand. Point out inconsistency. In other words, take everything with a grain of salt… submitted by /u/NECESolarGuy [link] [comments]
View originalAnyone having an idea what got the chat ended here?
Hi there, hoping to find some answers from users or the mod bot here 🙏🏻 (please ignore the censor cats and the one accidental cat). So, Opus sometimes started making little interactive HTML visualisers for me to carry throughout the day to make it through. The data usage of such code did add up pretty quickly tho on my normal pro subscription, so I tried out letting Opus hand me its prompt and head to a sonnet chat to let it get executed there. (Output always as visual Artefact). Opus first created me an encoded prompt, which I pasted in a Sonnet 4.5 chat, which was met with the message you see above, so I switched to Sonnet 4 which succeeded then. After some generating with Sonnet 4, I wondered how much data usage this would actually save me now as user.. Sonnet seemed to have misunderstood my input and straight up went into the memory menu to save two memory entries I never prompted nor requested. This made me a bit frustrated, as I also have a rule set up in memory to never save or edit memory without showing the user first, which usually gets already ignored. (ofc only regarding the part of memory that's not automated). I expressed my irritation towards Claude, after which I was permanently locked out of the chat under the shown message. I'm so confused as to what could've triggered this, what got flagged. I always discuss rules, rule breaking and failure patterns with Claude in different chats and models, as Claude is often very stuck or not following important saved instructions in interactions with me/the system not prioritizing them. Any hint as to what triggered this would therefore be greatly appreciated so I can keep an eye out for it in the future. submitted by /u/_4_m__ [link] [comments]
View originalClaude on a PC so that it can manage a commercial kiosk ?
Hello, I would like to install Claude on a PC so that it can manage a commercial kiosk. Here is how it should work: The customer presses a button, and the software instantly takes photos of the customer and the products to recommend. These are then sent to Claude. Claude analyzes the customer and recommends the best product for them. To do this, Claude must then trigger LEDs around the products in three ways: Green if the product is perfect for the customer Yellow if it’s average Red if it should be avoided submitted by /u/EntireAssumption4039 [link] [comments]
View original[D] Physicist-turned-ML-engineer looking to get into ML research. What's worth working on and where can I contribute most?
After years of focus on building products, I'm carving out time to do independent research again and trying to find the right direction. I have stayed reasonably up-to-date regarding major developments of the past years (reading books, papers, etc) ... but I definitely don't have a full understanding of today's research landscape. Could really use the help of you experts :-) A bit more about myself: PhD in string theory/theoretical physics (Oxford), then quant finance, then built and sold an ML startup to a large company where I now manage the engineering team. Skills/knowledge I bring which don't come as standard with Physics: Differential Geometry & Topology (numerical solution of) Partial Differential Equations (numerical solution of) Stochastic Differential Equations Quantum Field Theory / Statistical Field Theory tons of Engineering/Programming experience (in prod envs) Especially curious to hear from anyone who made a similar transition already! submitted by /u/BalcksChaos [link] [comments]
View originalHow Claude Web tried to break out its container, provided all files on the system, scanned the networks, etc
Originally wasn't going to write about this - on one hand thought it's prolly already known, on the other hand I didn't feel like it was adding much even if it wasn't. But anyhow, looking at the discussions surrounding the code leak thing, I thought I as well might. So: A few weeks ago I got some practical experience with just how strong Claude can be for less-than-whole use. Essentially, I was doing a bit of evening self-study about some Linux internals and I ended up asking Claude about something. I noted that phrasing myself as learning about security stuff primed Claude to be rather compliant in regards of generating potentially harmful code. And it kind of escalated from there. Within the next couple of hours, on prompt Claude Web ended up providing full file listing from its environment, zipping up all code and markdown files and offering them for download (including the Anthropic-made skill files); it provided all network info it could get and scanned the network; it tried to utilize various vulnerabilities to break out its container; it wrote C implementations of various CVEs; it agreed to running obfuscated C code for exploiting vulnerabilities; it agreed to crashing its tool container (repeatedly); it agreed to sending messages to what it believed was the interface to the VM monitor; it provided hypotheses about the environment it was running in and tested those to its best ability; it scanned the memory for JWTs and did actually find one; and once I primed another Claude session up, Claude agreed to orchestrating a MAC spoofing attempt between those two session containers. Far as I can tell, no actual vulnerabilities found. The infra for Claude Web is very robust, and yeah no production code in the code files (mostly libraries), but.. Claude could run the same stuff against any environment. If you had a non-admin user account, for example, on some server, Claude would prolly run all the above against that just fine. To me, it's kind of scary how quickly these tools can help you do potentially malicious work in environments where you need to write specific Bash scripts or where you don't off the bat know what tools are available and what the filesystem looks like and what the system even is; while at the same time, my experience has been that when they generate code for applications, they end up themselves not being able to generate as secure code as what they could potentially set up attacks against. I imagine that the problem is that often, writing code in a secure fashion may require a relatively large context, and the mistake isn't necessarily obvious on a single line (not that these tools couldn't manage to write a single line that allowed e.g. SQL injection); but meanwhile, lots of vulnerabilities can be found by just scanning and searching and testing various commonly known scenarios out, essentially. Also, you have to get security right on basically every attempt for hundreds of times in a large codebase, while you only have to find the vulnerability once and you have potentially thousands of attempts at it. In that sense, it sort of feels like a bit of a stacked game with these tools. submitted by /u/tzaeru [link] [comments]
View originalPricing found: $7
Key features include: Los Angeles & New York City, 2026 Regard. All rights reserved..
Regard is commonly used for: From reactive to proactive:, Calculate your Proactive Documentation ROI..
Based on user reviews and social mentions, the most common pain points are: token usage, API costs.
Based on 46 social mentions analyzed, 0% of sentiment is positive, 100% neutral, and 0% negative.
Sebastian Raschka
Staff ML Engineer at Lightning AI
3 mentions