We help companies plan and architect development strategies. From helping you choose the right technologies to work with to implementing those technologies in legacy applications, there is a wide range of services we are happy to offer.
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Seasoned Industry ExpertsOur engineering leaders have deep technical experience and a wide breadth understanding about the latest and modern technologies companies are adopting. We can consult on best practices with architecture, best practices, and recommend how to approach complex solutions.
Bridging the Gap Between Business and TechnologyOur architects are acutely aware of how to work with key stakeholders to understand needs, and work to bridge the gap between the business requirements and implementation. If you have critical business challenges to solve and need to ensure an effective go-to-market strategy and timeline, we are here to help.
Application ArchitectureWe recognize that one of the most important factors to long term sustainability of any application is ensuring the architecture is done right from the start. With years of hands-on experience in implementing various software architectures and design patterns, we have helped dozens of our enterprise clients build scalable, maintainable, and testable software solutions.
ModernizationThe journey to modernizing legacy applications can be challenging. With multiple enterprise migrations and upgrades under our belt, let us help set you up for success by creating a plan for modernizing your software solutions. We walk through various scenarios and approaches so you can weigh the benefits of each approach accordingly.
Project ExecutionOur team of expert developers are able to help implement any recommended solutions by joining your team(s) via staff augmentation and helping execute on deliverables in a timely manner.
Maximize Your InvestmentWe help evaluate your engineering investments and augment your team as needed to maximize results through helping improve development lifecycles, processes, and team productivity to ensure your organization’s strategic goals are met.
Building for the FutureOur team consists of expert engineers that have experience in open source and are core contributors to major frameworks and libraries in JavaScript. With our background and expertise, we generate forward-thinking solutions that will help your organization stay up-to-date with the latest technologies.
MentorshipWe value learning, teaching, and mentorship. This helps ensure the solutions we architect and build are built to last. With our mentorship focus, we are also invested in helping your team learn and grow during our engagement with you.
Our clients are building for the future. Explore This Dot Labs' portfolio, and see how we have helped them achieve their diverse technical goals.
Browse available in-person and remote training courses. We work with you to develop a curriculum that addresses your team's specific needs.
From concept to market, we work with your team to provide a one stop shop for strategy, design, and development of projects, both new and in-flight.
At This Dot, we understand that strong developer relations are crucial to the success of any product or service. As an agency, we have a team of developer relations, marketing experts and experienced engineers who are well-equipped to help you build and maintain strong relationships with the developer community.
Our clients are building for the future. Explore This Dot Labs' portfolio, and see how we have helped them achieve their diverse technical goals.
topics covered in this case study:
Sentry’s Emerging Technologies team approached This Dot Labs to augment their team developing a new feature offering a visual replay of user interactions that would seamlessly fit in with Sentry’s portfolio of error and performance monitoring tools.
topics covered in this case study:
Our team created an automated conversion tool to detect newly released code, determine changes introduced by it, and trigger an automatic upgrade to the converted library.
topics covered in this case study:
This Dot collaborated with ContractObserver to provide steady site reliability improvements, deliver new features to improve the contract data pipeline for their most mission-critical service, and automate the team’s testing protocol, making it faster and less prone to performance interruptions.
topics covered in this case study:
Our client, a financial services platform serving nearly 2 million users daily, approached This Dot to identify and address performance issues on their Angular-built website.
In this blog post, we will delve into how and async components work, their benefits, and practical implementation strategies to make your Vue.js applications more efficient and user-friendly...
Apr 24, 2024
6 mins
Rob Ocel and Jerome Hardaway continue their series on AI adoption by exploring the world of AI, focusing on small language models (SLMs) and large language models (LLMs). They compare the unique capabilities of SLMs against the vast knowledge encompassed by LLMs, and highlight the transformative potential of AI in driving creativity, problem-solving, and user-centric design in technology. SLMs are designed to excel at specific tasks, offering faster processing and cost-effectiveness due to their open-source nature. These models have proven to be invaluable in sectors like finance, where data security is of utmost importance. By leveraging SLMs, organizations can enhance their security measures and protect sensitive information. Moreover, SLMs provide a stepping stone for engineers to adapt to new technologies and incorporate AI into their work, ultimately improving user experiences. On the other hand, LLMs encompass a wide range of knowledge, making them incredibly versatile. These models have the potential to transform industries by providing insights, predictions, and solutions to complex problems. With advancements in AI chip technology by tech giants like Apple, Nvidia, Google, and Meta, LLMs are becoming even more powerful and efficient. Evaluating AI models based on factors like stability and industry support is crucial to harnessing the full potential of LLMs. The conversation also addresses some ethical questions related to AI implementation. While AI brings numerous benefits, concerns about job displacement cannot be ignored. As AI continues to evolve, it is essential to strike a balance between automation and human involvement. Engineers must focus on improving AI sophistication and seamless integration into user interactions, ensuring that AI enhances human capabilities rather than replacing them. Additionally, ethical guidelines and regulations must be established to address potential biases and ensure responsible AI implementation. Download this episode here....
Apr 23, 2024
2 mins
In today's digital landscape, the need for secure identity verification has become paramount. With the increasing risks of personal data exposure and the rise of sophisticated cyber threats aided by Artificial Intelligence, it is crucial to adopt robust verification processes to protect individuals and organizations alike. In a recent discussion with Rod Boothby, CEO of ID Partner Systems, the significance of trusted institutions for identity verification was emphasized, particularly the efficiency of bank-based ID verification over traditional methods. One of the key takeaways from the conversation was the importance of continuous authentication. As technology advances, so do the methods employed by cybercriminals. Deepfake technology, for instance, poses a significant threat to identity verification systems. To combat this, tighter security measures and continuous authentication are essential. By constantly verifying and validating user identities, organizations can stay one step ahead of potential fraudsters. Rod Boothby also highlighted the need for a developer-focused approach to identity verification. By providing developers with the tools and resources they need, companies like ID Partner Systems aim to streamline the verification process and enhance security. This approach not only ensures a more efficient experience for users but also allows for the integration of behavioral biometrics, which can further strengthen the verification process. Download this episode here....
Apr 22, 2024
1 min
A follow-up article on the new Core Web Vital INP outlining some techniques to improve your INP score in Next.js and React....
Apr 19, 2024
5 mins
Shawn Wang discusses AI engineering’s potential impact on the software development labor market and developer experience. With the rise of artificial intelligence technologies, there is an increasing demand for professionals who can bridge the gap between AI and software engineering, and engineers are looking around for guidance on how to best learn AI. Shawn emphasizes the importance of acquiring core knowledge and skills in AI engineering, highlighting the need for a systematic approach to education and development. He envisions a future where AI engineering becomes a recognized profession, with specialized training programs and certifications. He further talks about mental models for approaching AI literacy, and skill building. Shawn also discusses the use of advanced AI technology in software development. He showcases tools like GPT Vision, which can automate tasks and generate code efficiently. While acknowledging the potential of AI in enhancing productivity, Shawn emphasizes the need to leverage AI tools to augment human capabilities rather than replace them. Download this episode here....
Apr 17, 2024
1 min
The article explores end-to-end type safety in JSON APIs using JSON Schema and TypeScript. It delves into methods such as generating types from schema definitions and utilizing TypeBox, data validation of serialized JSON data....
Apr 17, 2024
6 mins
