Learn, Grow and DO THE NEW

Introduction

“AI is writing code now.”
“Copilot is basically a senior dev.”
“In a few years, teams won’t even need leads.”

You’ve probably heard these statements tossed around lately, maybe even said them yourself. Not long ago, the idea of artificial intelligence writing production-grade code belonged firmly in the realm of science fiction. Today, generative AI (GenAI) tools have made that concept not just possible but also practical. A McKinsey study shows that developers who leverage GenAI tools to perform complex tasks were 25%-30% more likely to complete them in the given time frame than those without the tools. But as someone who’s seen a fair share of tech hype cycles, tools, and rebrands, here’s the real question:

Is GenAI slowly becoming your lead developer?

In the article, let's cut through the hype to examine where GenAI truly excels, where it falls short, and what that means for the future of engineering leadership.

From assistant to authority

It’s a given what all GenAI can do, and it’s a lot! It began as a coding assistant, and the developers used it to write unit tests, autocomplete functions, etc. But its capabilities have grown dramatically. Today, GenAI can:

• Autocomplete entire functions (not just a few lines)
• Write tests and documentation in seconds
• Offer real-time debugging suggestions
• Translate business ideas into executable code
• Dig through legacy code that most devs would rather ignore
• Explain code in simple English

In short, it’s not just assisting development but also influencing decisions. But is it leading?

Through these GenAI use cases in software development, let’s examine the big responsibilities of a lead developer and how GenAI stacks up.

1. Can GenAI design architecture?

Ask GenAI to design a scalable e-commerce platform, and it will generate a well-structured plan using microservices, Redis, Kafka, SQS, and more. Sounds impressive, on paper.

But what GenAI can’t:

• Understand your business priorities
• Aligning with your team’s capabilities
• Balancing timelines and budgets
• Navigating real-world trade-offs

GenAI lacks that situational awareness. A real tech lead connects the dots between business, tech, and people. That judgment, the kind that shapes architecture isn’t something AI has yet.

Key takeaway: Helpful assistant? Absolutely. Decision-maker? Not today.

2. Can GenAI handle code reviews?

GenAI excels at first-pass code quality:

• Flags syntax errors
• Eliminates unused imports
• Refactors code for readability
• Suggests and writes unit tests

But what GenAI can’t

• Catch bugs tied to business logic
• Flag misuse of internal architecture
• Enforce your team’s coding patterns and principles
• Push back when something looks right but feels wrong

In other words, GenAI might say “looks good to me” but your lead dev still needs to say, “does this actually make sense?” These nuances are critical.

Key takeaway: Think of it as your linting superpower, not your code review gatekeeper.

3. Can GenAI mentor developers?

This one’s interesting. Junior devs love GenAI and rightly so, as it:

• Explains concepts clearly
• Provides immediate answer
• Helps unblock basic technical hurdles - fast

It’s like having a 24x7 Stack Overflow with better manners.

But what GenAI can’t:

Real mentorship! That’s more than just answering “how do I do X?” It’s about:

• Helping someone work through doubt
• Asking the right questions, not just giving answers
• Knowing when not to write code
• Building confidence, not just competence

AI can show you the what. Only a mentor teaches the why and when and sometimes, the why not.

Key takeaway: Great companion for learning, but still no match for a thoughtful human mentor.

What are teams across the globe doing with GenAI?

Across industries, we’re seeing a pragmatic, blended approach to GenAI adoption. Let’s talk real-world examples:

• British Telecom rolled out CodeWhisperer to over 1,200 developers. They generated 100,000+ lines of AI-assisted code - all reviewed by human eyes before going live.
• Accenture handed Copilot to teams. Devs appreci ated the speed boost, but AI remained just one part of the workflow.
• Projects like MetaGPT and GPT Pilot simulate AI-led teams, cool experiments, but still need strong human oversight.

What do we do at TO THE NEW?

We’ve been rolling out GenAI tools - Copilot, ChatGPT, Cursor, and other- across multiple teams at TO THE NEW. What we noticed:

• Efficiency gains of 15–40% where adoption was deep and intentional
• AI handled boilerplate and repetitive tasks brilliantly
• Prompt engineering made a huge difference (good prompts = great results)

But the real kicker? AI worked best when our leads were involved, helping teams use it smartly, integrating it into workflows, and reviewing outputs with care. The adoption soared, and so did outcomes.

GenAI didn’t replace leads. It made them better.

Conclusion: Is GenAI replacing your lead developer?

It’s not! Let’s put it simply:

Yes - GenAI is the best junior dev you’ve ever onboarded
Yes - It helps you go faster and avoid grunt work
No - It’s not your lead developer

Why not? Because a lead dev does more than write good code. They understand context, make hard trade-offs, push back when needed, mentor and coach, align with stakeholders, and think long-term.

GenAI doesn’t do those things. It doesn’t own. It doesn’t lead. It assists.

This calls for a new hybrid model:

• Developers as curators,not just creators
• Leads as strategists,defining AI usage, architecture, and quality standards
• Teams as collaborators,integrating GenAI across SDLC stages

Final thoughts: Lead with AI, don’t follow it

GenAI isn’t here to replace developers. It’s here to raise the bar and challenge them to lead differently. The future of software engineering isn’t AI vs. humans. It’s AI with humans, each doing what they do best.

In any organization the most valuable contributor will still be the human who uses GenAI to ship faster, teaches the teams on how to use it wisely, and focuses on the thinking part of building software, not just the typing part

At TO THE NEW, our generative AI services help engineering teams build GenAI-augmented development workflows that deliver faster, smarter outcomes, without compromising on quality, security, and most importantly - the human touch.

So, no - GenAI isn’t your next lead developer. But your next great tech lead? They’ll definitely know how to lead with GenAI - not be led by it.

Introduction

Do you know that 15% of adults use AI as a search engine? Online search engines are no longer necessary to find answers. The shift is driven by AI-powered LLMs like ChatGPT, Google Gemini, and Microsoft Copilot. They add a new dimension to user search that delivers instant, conversational responses instead of an endless sea of links.

For businesses, this shift is more than just a trend - it’s an opportunity to build a competitive edge. Over the last year, many businesses have observed a slow but steady increase in leads and prospects generated through AI recommendations. In simpler terms, Large Language Models (LLMs) are slowly on their way to becoming the preferred form of user search, with the potential to decide what content gets seen and which gets ignored.

This evolution has led to the rise of Generative Engine Optimization (GEO) - a forward-looking approach that helps your content show up in AI-generated answers. Imagine your business being the go-to answer in AI-generated responses. It leads to more visibility, stronger credibility, and new opportunities to engage customers - this is the power of GEO. Let us understand GEO a bit more in detail.

Introduction

The Snowflake cloud data platform is rapidly becoming one of the leading choices for enterprises seeking modern solutions for data warehousing and analytics. Snowflake is a cloud platform that enables scalable and flexible data solutions, providing enterprises with the infrastructure needed for today’s data demands. Enterprise cloud solutions like Snowflake combine the benefits of public and private cloud environments, offering both flexibility and security. Snowflake has addressed many of the limitations that hindered traditional data warehouses, especially as data volumes grew exponentially and organizations shifted to cloud-first strategies.

In this article, we dive deep into why traditional solutions are struggling to keep up and why Snowflake cloud services are revolutionizing data analytics for enterprises. Before exploring how Snowflake is redefining the future of data analytics, it’s important to understand the limitations of traditional data warehouses.

Challenges with traditional data warehouses

1. Scalability bottleneck

2. Rising costs as data scales

3. Compute and storage tightly coupled

4. No easy way to share data securely

5. Performance bottlenecks

6. High maintenance overhead

7. Need for dedicated admin teams

8. Lack of multi-cloud support

9. No built-in essential features like disaster recovery, time travel, or data masking

Most companies are moving to modern cloud models to address scalability and flexibility challenges that traditional data warehouses cannot solve.

In short, traditional data warehouses were built for the time when data was smaller and simpler; not for today’s dynamic, global, and data-intensive environments. These limitations created an urgent need for a new kind of data platform which could address these use cases. Enter Snowflake, redefining the future of enterprise data analytics.

Here’s how Snowflake is setting a new standard and why enterprises are making the shift:

1. Decoupled storage and compute

Traditional platforms often require scaling both storage and compute together.

For example, if your data grew but your compute needs didn’t, you still had to pay for both. Snowflake breaks this dependency.

With Snowflake, storage and compute scale independently. You can add more compute power for performance-heavy tasks without touching storage and vice versa. This not only reduces unnecessary costs but also provides greater flexibility.

Snowflake manages cloud resources efficiently, allowing organizations to utilize all the resources they need without overprovisioning.

Everything runs on a pay-as-you-go pricing model, so you’re only billed for what you use.

2. A truly cloud-native platform

Snowflake was built for the cloud from the ground up. It runs seamlessly across AWS, Azure, and Google Cloud, leveraging native cloud features like elasticity, durability, and global reach.

You can spin up Snowflake accounts across different cloud providers and regions and still connect them effortlessly. That’s a huge advantage for enterprises that are operating in multi-cloud or hybrid environments.

Snowflake’s ability to operate across multiple cloud providers reduces reliance on a single cloud provider and supports multi-cloud strategies for greater flexibility and resilience.

Snowflake’s services are accessible from anywhere with an internet connection, enabling remote teams and global operations.

As a cloud service provider, Snowflake offers managed cloud solutions for enterprises, simplifying deployment and management.

3. Faster data processing with micro-partitioning

Snowflake optimizes storage under the hood by storing data in parquet format within AWS S3 (or similar cloud storage). It then automatically organizes the data into micro-partitions - small, compressed chunks that include metadata and statistics about the data inside.

This supports automatic pruning, where Snowflake only scans the data that’s relevant to your query, significantly speeding up performance without manual indexing or tuning.

Snowflake’s advanced data storage and file storage capabilities ensure efficient data management, backup, and retrieval for enterprise workloads.

4. Instant, on-demand compute

One of Snowflake’s standout features is its instant compute availability. Compute resources, called warehouses, spin up in seconds only when the query is issued on the platform.

This means you don’t need to keep them running 24/7. For example, if someone runs a report or dashboard, Snowflake can instantly start the necessary compute resources, process the request, and shut down again all in real-time. Billing is based on per-second usage (with a 1-minute minimum), which keeps costs under control.

5. Time Travel for data recovery and analysis

Snowflake’s Time Travel feature allows you to quickly access historical versions of your data - up to 90 days back, depending on your configuration. Since Snowflake’s micro-partitions are immutable, you can rewind to any earlier state without having to restore from backups.

This makes it incredibly simple to recover from accidental deletions or data issues. It’s also a powerful tool for troubleshooting issues or auditing changes, something that used to involve complex and manual snapshot processes in traditional systems.

6. Live, secure data Sharing

Unlike traditional approaches that involve copying and transferring data, Snowflake enables real-time data sharing without duplication. Data is securely shared as-is, with governance controls in place. Recipients can query shared data directly, even without a Snowflake account.

This feature is particularly beneficial for sharing data with vendors, partners, or clients, with full governance and control.

7. Support for All Types of Workloads

Snowflake isn’t just for structured SQL-based workloads. It also supports:

• Semi-structured data like JSON, Avro, and XML

• Real-time and batch data pipelines

• Data science and ML workloads using Snowpark for Python, Scala, and Java

• Integration with tools like dbt, Power BI, Tableau, and others

Snowflake supports various operating systems and provides a pre-installed operating system environment for developers, making it easier to build and deploy cloud applications.

This broad support allows enterprises to unify data and analytics operations on a single platform.

8. A Zero-Maintenance Experience

Snowflake is engineered to remove the operational burden that comes with managing infrastructure. Tasks like clustering, indexing, tuning, and optimization happen automatically in the background. Therefore, the data teams can focus on delivering insights and value rather than worrying about system upkeep and maintenance.

Snowflake eliminates the need for managing physical data centers, shifting the focus to cloud-based infrastructure and reducing operational complexity.

9. Built-In Security and Compliance

Snowflake comes with many built-in security and compliance features. Thus there’s no need for custom setups or extra tools. Some examples include:

• Cross-region and cross-cloud replication for disaster recovery

• Dynamic data masking to protect sensitive information based on user roles

• Row-level security for fine-grained access control

• Always-on encryption, both at rest and in transit

Snowflake offers improved security features compared to traditional solutions, providing enterprises with enhanced protection for their data.

In traditional environments, setting this up required multiple third-party tools or complex custom development. With Snowflake, it’s all integrated and managed for you.

Introduction

Healthcare has come into an era of change. Increased costs, evolving patient expectations, and digital disruption are redefining how care is delivered. With 64% of insurers predicting higher medical trends globally, healthcare systems will need to adopt more sustainable, tech-driven care models to meet these demands. And as the industry makes its way across these technology frontiers, the overarching aim is to improve patient experiences, simplify processes, and make healthcare more accessible.

This article looks at the main trends that are revolutionizing the future of healthcare thus enhancing the manner in which patients and providers engage worldwide.

1. AI in diagnostics

It’s no secret that AI is becoming more than an assistive tool. It can process vast datasets to detect early signs of disease, scan medical images, flag issues doctors might miss, and recommend tailored treatments. With predictive analytics, doctors can foresee potential health problems and prevent its progression. By analyzing genetic data, AI can suggest customized treatment plans based on a person’s unique health profile.

According to a current newsletter article of the National Institute of Health, a remarkable 99% accuracy achieved in evaluating mammograms, leading to quicker breast cancer diagnosis, has driven market growth in the healthcare Industry.

2. Precision medicine

Not every drug is right for every person. According to one pharmacogenomic research, around 80% of people have a genetic variation that could change how they respond to medication. Precision medicine delivers highly effective and personalized health treatments by targeting specific factors such as genetics, environment, lifestyle, and more, while maximizing treatment efficacy and minimizing unwanted side effects.

3. Mental wellbeing solutions

Modern wellness solutions are becoming hyper-personalized to cater to the unique needs of varied individuals struggling with anxiety, PTSD, and other mental health challenges. AI-powered chatbots offer users coping strategies and encourage consistent mental health check-ins. Mental health / therapy apps offer accessible care and real-time support, encouraging individuals to manage stress and enable work-life balance, productivity, & mental well-being. These tailored wellbeing solutions are enhancing both physical and mental health outcomes by meeting users where they are.

4. Telemedicine & remote care

The pandemic normalized virtual consultations. Telemedicine and remote patient monitoring (RPM) are now integral parts of long-term chronic care and regular consultations. These tools are revolutionizing access to care, especially for rural populations. These solutions offer better chronic disease management, real-time vital signs monitoring, and minimizing unnecessary hospitalizations. Some examples of the technology in action would be smart glucometers, ECG wearables, and mobile-connected monitoring apps.

5. Smart mHealth apps & wearables

Mobile health (mHealth) and wearables have made patients proactive managers of their own health. These apps are typically integrated with wearables and are connected to providers. Wearable devices have progressed rapidly from being simple steps or calorie counters to high-end devices that track heart rate, sleep cycles, and even stress. Products such as health trackers and smartwatches are empowering patients to take charge of their own health in unprecedented ways.

6. Patient-centric platforms

Patients want greater control. Technologies like patient portals and Advanced Care Planning (ACP) platforms empower users to manage records, appointments, & preferences, access test results, chat with physicians, and select end-of-life care plans. These platforms enable trust and transparency, improving patient loyalty and consequently, reducing stress on families and caregivers in emergency situations.

[You may like reading: The unsung hero of patient-provider matching: Provider data accuracy]

7. Virtual & augmented reality (VR/AR)

The global AR/VR in healthcare market size is projected to grow at a CAGR of 16.8% from 2024 to 2030. These technologies are transforming how healthcare has been delivered with innovative, immersive experiences. While AR provides medical training, guided surgeries, real-time procedural support, VR offers a controlled environment for the patients where they see medical scenarios, walk through the procedures, and have simulations of living with chronic diseases. This makes it easy for them to face triggers and lower their anxiety.

8. Health gamification

The integration of games into health and fitness motivation is becoming a popular trend. By incorporating elements such rewards (points, badges, or incentives) for users in exchange for engaging in exercise or consuming a healthy diet, health gamification adds fun and excitement to health goals and encourages individuals to take a greater interest in their well-being. In the coming few years, this strategy is likely to become a major technique in promoting healthier lifestyles and creating more engaging healthcare experiences.

9. Emerging Accountable Care Organizations (ACOs)

Healthcare is shifting from volume-based (fee-for-service) systems to value-based care, where providers are paid based on outcomes. The core of such a transformation lies with ACOs and digital health tools that collaborate across hospitals, physicians, and specialists to provide coordinated care. Utilizing EHRs, predictive analytics, and care coordination platforms, these models focus on reduced costs, fewer hospitalizations, and improved long-term patient health.

[You may like reading: Automation meets healthcare: Using data to drive operational excellence]

10. Invasive surgery procedures

A silent revolution in surgery is marching ahead as minimally invasive procedures continue to replace traditional open surgeries. These minimally invasive procedures are transforming how providers treat cardiovascular conditions, offering patients faster recovery, reduced pain and fewer complications.

With the introduction of new technologies in interventional care, minimally invasive procedures have become more advanced – but also increasingly complex. The integration of systems, software and devices has become increasingly important as it allows physicians to treat patients with greater control and confidence during every stage of a surgery procedure.

Conclusion

Healthcare technology is no longer just about innovation, it’s now about transformation. The direction that the industry is taking includes increasing accessibility, patient empowerment in their health, and enabling health care providers to provide effective care. From diagnostic machines powered by AI to wearable fitness tracking and customized wellbeing applications, these advances are opening up stimulating possibilities for revolutionizing how health is taken care of. Healthcare technology has caught up with the future. It's connected, intelligent, and patient-led.

These trends are just a tip of the iceberg to the revolution happening in the healthcare industry. At TO THE NEW, we help you deliver healthcare solutions that elevate the standard of care worldwide. Reach out to us - a leading healthcare technology solutions company - to harness the potential of digital in health technology.