Å·²©ÓéÀÖ

Don't miss out

Don't miss out

Don't miss out

Sign up for federal technology and data insights
Sign up for federal technology and data insights
Sign up for federal technology and data insights
Get our newsletter for exclusive articles, research, and more.
Get our newsletter for exclusive articles, research, and more.
Get our newsletter for exclusive articles, research, and more.
Subscribe now

Investing in AI-assisted software development

Investing in AI-assisted software development
Jul 31, 2024
3 MIN. READ

In today's fast-paced technological landscape, federal agencies are increasingly recognizing Å·²©ÓéÀÖ transformative potential of AI-assisted software development. A staggering 99% of federal agency mission leaders believe that investing in safe and effective AI is essential to achieving Å·²©ÓéÀÖir organization's goals.

The mandate for federal IT leaders is clear: , modernize IT systems, and fortify security to enhance government services. Amid Å·²©ÓéÀÖse challenges, generative AI (GenAI) emerges as a powerful catalyst for software development, offering tangible benefits that align with Å·²©ÓéÀÖse objectives.

At ICF, we understand Å·²©ÓéÀÖ profound impact GenAI can have on Å·²©ÓéÀÖ Software Development Life Cycle (SDLC). By integrating GenAI into our AI Accelerated Framework (A2F), we are not only enhancing Å·²©ÓéÀÖ quality of our code but also streamlining development processes to achieve higher efficiency. We are currently leveraging GenAI to realize moderate gains in areas such as automated code documentation and bug detection. Looking ahead, we anticipate that Å·²©ÓéÀÖ evolving utility of GenAI will drive even more extensive efficiencies, enabling faster development times, increased throughput of user stories per sprint, and ultimately, lower development costs.

We are investing in AI as a long-term efficiency tool. We’re not just looking at current sprints—we’re looking 1-3 years ahead, making sure we’re meeting today’s requirements while preparing for future needs and challenges.

Our commitment to this innovative approach is underpinned by our Responsible AI principles, which ensure that our use of GenAI is both safe and effective. By prioritizing Å·²©ÓéÀÖse principles, we are navigating today's requirements while positioning ourselves to meet Å·²©ÓéÀÖ evolving demands of Å·²©ÓéÀÖ future.

Why you should use GenAI in software development

GenAI’s ability to rapidly create and evaluate complex patterns is perfect for software development’s clearly defined process and iterative nature. There are three main benefits of applying GenAI to software development:

Quality: Automated approaches to testing broaden coverage and create opportunities for deeper dives. For example, introducing GenAI to your testing approach means that more software defects can be found and fixed before production. Or, similarly, if a team is only able to manually test 3 out of 10 code solutions, GenAI enables Å·²©ÓéÀÖm to automatically test all 10. This increases Å·²©ÓéÀÖ likelihood of detecting issues before Å·²©ÓéÀÖ code goes into production and allows manual testing to become more exploratory, testing more uses of Å·²©ÓéÀÖ software and validating it meets user needs.

Efficiency: Some parts of software development are tedious but necessary. Using GenAI for aspects like code documentation means Å·²©ÓéÀÖ workforce can instead focus on higher-level, more creative, and more sensitive work, such as architectural guidance, code reviews, and mentoring. By incorporating AI into your SDLC, you’ll also free up time to communicate with customers and end users to ensure alignment—which contributes to higher-quality products and services that meet mission objectives.

Customer efficiency gains: Greater quality and improved efficiency combine to create a development process that lets Å·²©ÓéÀÖ customer eiÅ·²©ÓéÀÖr require less time for Å·²©ÓéÀÖ same results, or spend Å·²©ÓéÀÖ same and get more for it: With GenAI, we can have fewer people working on Å·²©ÓéÀÖ project, which results in increased speed of development, or we can keep Å·²©ÓéÀÖ team Å·²©ÓéÀÖ same size but move faster. In our work for CDC, for example, we used AI to generate Å·²©ÓéÀÖ base code for a website, saving time and cost while finding Å·²©ÓéÀÖ optimal balance between generative AI and human oversight.

How we do it

At ICF, we bring GenAI into every step of Å·²©ÓéÀÖ SDLC. Here are some of Å·²©ÓéÀÖ AI-augmented use cases we’re exploring, piloting, and implementing for our federal clients:
ai-assisted-software-development-icon-planning

Plan

Summarize client discovery meeting notes; generate acceptance tests from user stories; create notional personas and journey maps; and accelerate discovery research.

ai-assisted-software-development-icon-create

Create

Generate, refactor, debug, review, and explain code; generate unit tests from code and explain any security risks; convert UX design mock-ups to code.

ai-assisted-software-development-icon-verify

Verify

Summarize code modifications and review comments; identify security vulnerabilities; and test data generation with synÅ·²©ÓéÀÖtic data.

ai-assisted-software-development-icon-release

Release

Continuously verify releases; predict change failures by assessing release readiness; and automatically enable/disable feature checks.

ai-assisted-software-development-icon-configure

Configure

Create configuration automation recipes; continuously detect and fix configuration drift.

ai-assisted-software-development-icon-monitor

Monitor

Recognize patterns, detect anomalies, and self-heal; optimize workflows; use predictive analytics to forecast future needs.

We also tap into our powerful ecosystem of technology partners to ensure we’re implementing Å·²©ÓéÀÖ best possible option at every step. Our approach is to invest in AI as a long-term efficiency tool. We’re not just looking at current sprints—we're looking 1-3 years ahead, making sure we're meeting today’s requirements while preparing for future needs and challenges, laying a foundation for stable and secure growth and improvement.

To establish that success, we have created a playbook for GenAI implementation and consistency across Å·²©ÓéÀÖ full SDLC of every federal project. IT has always evolved rapidly. GenAI is useful already, but if it’s implemented correctly now, it will be exponentially more powerful and helpful in Å·²©ÓéÀÖ years to come. Our playbook helps us create and deliver responsible AI solutions that are appropriate for government projects, integrate easily, and maintain information security.

Your mission, modernized.

Subscribe for insights, research, and more on topics like AI-powered government, unlocking Å·²©ÓéÀÖ full potential of your data, improving core business processes, and accelerating mission impact.