Code Generation Archives - gettectonic.com
AI and UX Design

The AI Frontier Code: Laws for Taming the Wild West of UX

The digital frontier is lawless. Interfaces without intelligence. Intelligence without empathy. Designers building for yesterday while AI reshapes tomorrow. Teams drowning in possibility, paralyzed by complexity, lost in the noise of a thousand AI snake oil salesmen peddling confusion. The old rulebooks are ashes. The familiar trails have vanished. We stand at the edge of a new territory, watching the very nature of human-machine interaction transform before our eyes. But from chaos comes order. Just as the Code of the West brought structure to the untamed frontier, the AI era demands new ironclad laws—unyielding principles to guide us through this uncharted land. These aren’t suggestions. These aren’t guidelines. These are the Laws of the AI Frontier—the difference between those who’ll shape the future and those who’ll be left in the dust. As trailblazer Rob Chappell observes: “The future ain’t about guiding users from point A to B. It’s about forging bonds between people and thinking machines.” These laws are your survival guide for that journey. Branded in silicon, etched in circuits, sworn by the pioneers who’ll build tomorrow. I. The Interface IS the Intelligence The First Law: In AI territory, your UI is your brain Forget pretty wrappers around dumb tools. In this new land, every pixel shapes how the AI thinks. Every interaction teaches it how to behave. Every design choice forges its character. When you craft a notification, you’re not picking colors—you’re setting when the AI interrupts. When you design a conversation, you’re not writing words—you’re teaching metal minds how to speak human. As scout Rachel Kobetz warns: “Intelligence ain’t hidden behind the interface no more—it IS the interface. When systems learn and adapt, experience ain’t downstream from strategy. It IS the strategy.” How to stay lawful: The punishment for lawbreakers: Interfaces that feel fake, AI that seems alien, and users who’ll never trust your metal partner enough to ride together. II. Scout Tomorrow’s Trails Today The Second Law: Pioneers blaze trails—settlers just follow ruts While greenhorns debate whether AI changes design, you should be building that change. The future belongs to those who see past the horizon, who bridge to lands that don’t exist yet, who turn raw possibility into working reality. Don’t wait for briefs—write ’em. Don’t wait for strategy—create it. Don’t wait for permission—plant your flag. How to stay lawful: The punishment for lawbreakers: Eternal catch-up, always reacting instead of leading, watching others claim the future you could’ve owned. III. Show Your Hand The Third Law: Trust is the only currency that matters Users need to know more than what happened—they need confidence in what’ll happen next. In a land of black-box algorithms, transparency is the bridge between human doubt and digital trust. But clarity beats raw disclosure. Your duty is to reveal AI’s workings in ways that enlighten, not overwhelm. Think control maps—not journey maps. Don’t just chart what users do. Show who’s holding the reins—human, AI, or both—and when that changes. As Chappell notes: “The question ain’t ‘What’s the user doing?’ It’s ‘Who’s calling the shots right now, and how does that change?’” How to stay lawful: The punishment for lawbreakers: Users who never fully trust your AI, limiting its potential, dooming it to be just another broken promise in this wild land. IV. Ride Together The Fourth Law: The future’s human AND AI—not human OR AI Your job ain’t to protect humans from machines or replace cowboys with automatons. Your mission is to choreograph the dance between human gut and machine logic—partnerships that bring out the best in both. Design for the “autonomy slider”—a fluid scale where control flows between: This ain’t an on-off switch—it’s a continuous flow, creating what the wise call “co-agency.” How to stay lawful: The punishment for lawbreakers: AI that feels threatening instead of helpful, users who fight your “improvements,” and missing the magic of true partnership. The Oath: Living by the Code These laws ain’t gentle suggestions—they’re the bedrock of tomorrow’s AI UX. Every designer who’ll matter in the intelligence era lives by them. Every product that truly transforms human potential reflects them. To follow this code is to: To ignore them is to: The choice is yours, pioneer. Every designer today faces a decision that’ll define not just their career, but how humans and machines will work together for generations. You can cling to the old ways—the comfortable rules of pre-AI UX, the safety of known patterns, the ease of reactive design. Or you can swear by this new code, strap on your tools, and help write the next chapter of human-digital history. The laws are carved. The trail awaits. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more Tectonic’s Successful Salesforce Track Record Salesforce Technology Services Integrator – Tectonic has successfully delivered Salesforce in a variety of industries including Public Sector, Hospitality, Manufacturing, Read more

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codegen

CodeGen

MATLAB Code Generation with codegen Overview The codegen command generates optimized C/C++ code from MATLAB® functions and builds the resulting code into executables or libraries. This tool is essential for: Key Features Basic Syntax matlab Copy codegen options function -args {func_inputs} Common Use Cases 1. Generating a MEX Function matlab Copy % Function with input validation function y = mcadd(u,v) arguments u (1,4) double v (1,1) double end y = u + v; end % Generate MEX codegen mcadd 2. Creating a Static Library matlab Copy % Generate C static library codegen -config:lib mcadd -args {zeros(1,4),0} 3. Multi-Signature Support matlab Copy % Generate MEX supporting multiple input types codegen -config:mex myAdd -args {1,2} -args {int8(2),int8(3)} -report Advanced Capabilities Custom Build Configuration matlab Copy cfg = coder.config(‘lib’); % Library configuration cfg.TargetLang = ‘C++’; % Set target language codegen -config cfg myFunction -args {myInputs} Fixed-Point Conversion matlab Copy fixptcfg = coder.config(‘fixpt’); fixptcfg.TestBenchName = ‘my_test’; codegen -float2fixed fixptcfg -config:lib myFunction Global Variable Handling matlab Copy codegen -globals {‘g’, 5} myFunction -args {0} Input Specifications Supported Input Types Type Example Fixed-size -args {ones(3,3)} Variable-size -args {coder.typeof(1,[Inf,Inf])} Enumerations -args {coder.typeof(myEnum.Value)} Fixed-point -args {fi(4.0,numerictypeObj)} Output Options Build Targets Option Output -config:mex MEX function -config:lib Static library -config:dll Dynamic library -config:exe Standalone executable Output Control Optimization Controls matlab Copy % Enable OpenMP parallelization codegen -O enable:openmp myFunction % Disable function inlining codegen -O disable:inline myFunction Limitations Best Practices Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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Einstein Code Generation and Amazon SageMaker

Einstein Code Generation and Amazon SageMaker

Salesforce and the Evolution of AI-Driven CRM Solutions Salesforce, Inc., headquartered in San Francisco, California, is a leading American cloud-based software company specializing in customer relationship management (CRM) software and applications. Their offerings include sales, customer service, marketing automation, e-commerce, analytics, and application development. Salesforce is at the forefront of integrating artificial general intelligence (AGI) into its services, enhancing its flagship SaaS CRM platform with predictive and generative AI capabilities and advanced automation features. Einstein Code Generation and Amazon SageMaker. Salesforce Einstein: Pioneering AI in Business Applications Salesforce Einstein represents a suite of AI technologies embedded within Salesforce’s Customer Success Platform, designed to enhance productivity and client engagement. With over 60 features available across different pricing tiers, Einstein’s capabilities are categorized into machine learning (ML), natural language processing (NLP), computer vision, and automatic speech recognition. These tools empower businesses to deliver personalized and predictive customer experiences across various functions, such as sales and customer service. Key components include out-of-the-box AI features like sales email generation in Sales Cloud and service replies in Service Cloud, along with tools like Copilot, Prompt, and Model Builder within Einstein 1 Studio for custom AI development. The Salesforce Einstein AI Platform Team: Enhancing AI Capabilities The Salesforce Einstein AI Platform team is responsible for the ongoing development and enhancement of Einstein’s AI applications. They focus on advancing large language models (LLMs) to support a wide range of business applications, aiming to provide cutting-edge NLP capabilities. By partnering with leading technology providers and leveraging open-source communities and cloud services like AWS, the team ensures Salesforce customers have access to the latest AI technologies. Optimizing LLM Performance with Amazon SageMaker In early 2023, the Einstein team sought a solution to host CodeGen, Salesforce’s in-house open-source LLM for code understanding and generation. CodeGen enables translation from natural language to programming languages like Python and is particularly tuned for the Apex programming language, integral to Salesforce’s CRM functionality. The team required a hosting solution that could handle a high volume of inference requests and multiple concurrent sessions while meeting strict throughput and latency requirements for their EinsteinGPT for Developers tool, which aids in code generation and review. After evaluating various hosting solutions, the team selected Amazon SageMaker for its robust GPU access, scalability, flexibility, and performance optimization features. SageMaker’s specialized deep learning containers (DLCs), including the Large Model Inference (LMI) containers, provided a comprehensive solution for efficient LLM hosting and deployment. Key features included advanced batching strategies, efficient request routing, and access to high-end GPUs, which significantly enhanced the model’s performance. Key Achievements and Learnings Einstein Code Generation and Amazon SageMaker The integration of SageMaker resulted in a dramatic improvement in the performance of the CodeGen model, boosting throughput by over 6,500% and reducing latency significantly. The use of SageMaker’s tools and resources enabled the team to optimize their models, streamline deployment, and effectively manage resource use, setting a benchmark for future projects. Conclusion and Future Directions Salesforce’s experience with SageMaker highlights the critical importance of leveraging advanced tools and strategies in AI model optimization. The successful collaboration underscores the need for continuous innovation and adaptation in AI technologies, ensuring that Salesforce remains at the cutting edge of CRM solutions. For those interested in deploying their LLMs on SageMaker, Salesforce’s experience serves as a valuable case study, demonstrating the platform’s capabilities in enhancing AI performance and scalability. To begin hosting your own LLMs on SageMaker, consider exploring their detailed guides and resources. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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salesforce unified knowledge

The Low-Code Revolution

The Low-Code Revolution: How Salesforce is Democratizing CRM Customization Redefining CRM Development Through Visual Innovation Salesforce has pioneered a fundamental shift in customer relationship management by embracing low-code/no-code technology, transforming how organizations customize their CRM platforms. This revolutionary approach enables business users across departments to actively participate in solution development through intuitive visual interfaces rather than complex programming. The low-code movement represents more than just simplified development—it’s a strategic empowerment of business teams to rapidly adapt systems to evolving needs without creating IT bottlenecks. By 2025, Gartner predicts 70% of new applications will use low-code/no-code technologies, with Salesforce positioned at the forefront of this transformation. Understanding the Low-Code/No-Code Paradigm Visual Development for Business Agility Low-code/no-code platforms replace traditional programming with: This approach creates a spectrum of capability: The Strategic Advantages of Salesforce’s Approach 1. Accelerated Digital Transformation 2. Cost-Effective Innovation 3. Cross-Functional Collaboration Salesforce’s Low-Code Ecosystem Core Platform Capabilities Expanding Possibilities Real-World Impact Across Industries Financial Services A regional bank reduced loan processing time by 40% by enabling loan officers to build their own workflow automations using Salesforce Flow. Healthcare A hospital network created a patient intake portal in three days using Lightning App Builder, eliminating a six-month development backlog. Retail A global retailer empowered store managers to build custom inventory apps, improving stock accuracy by 25% without IT involvement. The Future of Enterprise Development Salesforce’s low-code strategy represents more than just simplified tools—it’s redefining the relationship between business needs and technical solutions. Key emerging trends include: Implementing a Successful Low-Code Strategy Organizations maximizing Salesforce’s low-code potential typically: Conclusion: The Democratization of Digital Transformation Salesforce’s low-code/no-code revolution represents a fundamental shift in how businesses approach CRM customization and digital innovation. By empowering business users to become active participants in solution development, organizations can achieve: As the platform continues to evolve, Salesforce is positioned to lead the next wave of enterprise software—where the power to transform business processes resides not just with technical teams, but across the entire organization. This democratization of development capability marks a new era of business agility and competitive advantage. Content updated April 2025. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Salesforce Marketing Cloud Transactional Emails Salesforce Marketing Cloud Transactional Emails are immediate, automated, non-promotional messages crucial to business operations and customer satisfaction, such as order Read more Salesforce Unites Einstein Analytics with Financial CRM Salesforce has unveiled a comprehensive analytics solution tailored for wealth managers, home office professionals, and retail bankers, merging its Financial Read more AI-Driven Propensity Scores AI plays a crucial role in propensity score estimation as it can discern underlying patterns between treatments and confounding variables Read more

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Anypoint Code Builder for Desktop

Anypoint Code Builder for Desktop

Anypoint Code Builder for Desktop represents MuleSoft’s cutting-edge integrated development environment (IDE) designed for developers to seamlessly create, develop, and deploy APIs, integrations, and automations within a unified environment. This innovative tool empowers developers by offering: Anypoint Code Builder for Desktop MuleSoft is excited to announce the official release of Anypoint Code Builder for Desktop, a groundbreaking addition to the MuleSoft family. This next-generation IDE revolutionizes the approach to API and integration development, promising increased speed, enhanced intuitiveness, and higher efficiency. Seamless Connections At MuleSoft, the mission is to enable organizations to seamlessly connect their systems, applications, and data, and Anypoint Code Builder is a significant stride toward achieving this goal. Recognizing the need for change in core integration tooling due to rapid technological advancements, they decided to build a new IDE from the ground up, catering to modern and future-looking use cases. Anypoint Code Builder is positioned as the future of API and integration development at Mulesoft, offering a next-generation developer experience. It empowers developers to design, develop, and deploy APIs and integrations seamlessly from a unified environment. The tool provides robust features, including flexible workspaces and the integration of AI to generate code and integration flows using natural language. Built-in Connectors The platform includes built-in connectors and access to a variety of connectors from Anypoint Exchange. Developers have two options to get started: a local version on VS Code for the desktop or a cloud version accessible directly from Anypoint Platform. The desktop version, now generally available, can be installed in three easy steps, allowing developers to work from their local machines. The cloud version is currently available in open beta, with plans for a full release in the first half of 2024. It’s essential to understand the difference between Anypoint Code Builder and Anypoint Studio. Anypoint Code Builder is based on Visual Code Builder, running as a service in the browser, while Anypoint Studio is based on Eclipse. Anypoint Code Builder goes beyond API implementation, also supporting API design and development. Like Related Posts Who is Salesforce? Who is Salesforce? Here is their story in their own words. From our inception, we’ve proudly embraced the identity of Read more Agiloft Salesforce Integration Optimize organizational efficiency, performance, and value by automating contracts with Agiloft Contract Lifecycle Management Software. Regain control and streamline processes Read more Demandbase Salesforce Integration The integration of Demandbase with Salesforce creates a seamless connection between Demandbase One and your Salesforce CRM, establishing a bidirectional Read more Box and Salesforce Integration What is Box and Salesforce integration? Together, Box and Salesforce integration bring you seamless solutions that make it easy for Read more

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