The future of software development is AI Native

Phase 1: Assistants

Benefit: 1.2x more efficient software development

AI-enhanced developer productivity and software modernization: Teams begin by using AI assistants to improve individual productivity, with the focus being on accelerating coding, testing, documentation, and debugging. AI is introduced carefully, and early wins are gathered. This phase also includes modernizing legacy systems to prepare for more advanced automation.

Phase 2: Agents

Benefit: 2x more efficient software delivery

AI-powered software agents (agent workflows): AI agents move beyond assistance and start handling parts of the workflow independently. For example, agents might manage test automation, infrastructure provisioning, or CI/CD pipelines. At this stage, governance, security, and data integration become critical.

Phase  3: Autonomous agents

Benefit: 5x more efficient software operations

AI-orchestrated software lifecycle (multi- agent workflows): AI agents collaborate throughout the software lifecycle, interacting with each other, tools, and human teams via shared interfaces—which improves coordination, cost efficiency, and continuous delivery. Human oversight remains, but automation of execution increases.

Phase 4: Production line

Benefit: 8x more efficient product development

AI integrates software, product, and business workflows: AI expands past the development team. Agents influence product strategy, operations, marketing, and reporting. Software systems adapt to user feedback, generate assets, and optimize performance in real time. Teams are cross-functional, with AI seamlessly flowing across any silos.

Phase 5: Software factory

Benefit: 20x more efficient software business

AI Native in software and business thinking: AI drives the business, with autonomous agents operating at scale. Software adapts in real-time while human teams focus on innovation, direction, and ethics. The company embraces AI-first principles, making software delivery continuous and adaptive.

We help your organization implement AI strategically to empower—not replace—your talent. This will allow your company to achieve real business value and stay competitive in the face of change.

Think: Increased efficiency, faster go-to-market, and solid security and compliance. Without sacrificing ownership or control over your software development, our approach creates a smooth software development workspace that engages all stakeholders to collaborate and exceed goals. With the goal of reaching AI Native status in an organized way. 

Executives can remain enthusiastic about the investment thanks to roadmaps that set expectations about cost, output, and  timelines. 

Management can rest assured that AI isn’t unleashed but is set up carefully so DevOps flows with transparency, regulations, and reporting in mind. 

Developers can focus on what excites them the most: Solving problems and building innovative software.

One way to get started with Eficode

Looking to solidify your knowledge of AI and its uses?

Our AI Discovery and Roadmap sessions support developers, product owners, architects, and business representatives via two-day GenAI hackathons. For R&D leads and product owners, we recommend a full day of software development lifecycle value stream mapping. We even help managers explore AI’s potential with half-day workshops. All include an AI roadmap briefing and findings with use cases.

Already experimenting with AI in your software development?

One way to upskill your developers is with a Masterclass. We offer essential-level sessions, as well as deep-dive education including hands-on problem solving. All sessions are 3 hours long and led by expert DevOps and AI consultants, supporting GitHub Copilot, Amazon Q, and GitLab Duo. 

Regulated organizations: Competitiveness without compromise

Companies that have strong compliance and regulatory obligations find themselves wanting to incorporate AI into their software development processes, but often pause for fear of stepping out of bounds. There’s a desire to create a modern software lifecycle to ensure overall competitiveness. However, the reality faced by these companies poses hindrances: Difficult legacy systems, strict tooling and validation requirements, tight data security rules, and, of course, regular audits.

We promise a safe and measured application of AI to modernize tools and processes and drive much-needed innovation. Our approach implements capabilities such as: automatic compliance by using policy as code, traceability, software bill of materials, AI-assisted auditing, and consistent environments. 

You achieve the following while staying within the required guardrails: 

• Easier development cycles
• Enhanced management insights
• Faster ‘time to value’ for your customers
• Reduced cognitive load for your developers.

Embedded organizations: Speed to market and enhanced products

Companies that produce physical products that are built on or enhanced by technology find themselves needing solutions that reduce time to market and keep their offerings up to date. The promise of AI’s benefits are appealing but leaves a big question unanswered: How best to take advantage of AI’s practical implementation when juggling software development and hardware manufacturing?

We guide you on optimal AI usage so as to remove bottlenecks from software development and technology integration. Say goodbye to slow, siloed teams following manual, phase-gated processes. Legacy code and processes are fixed, too. For companies facing safety and regulatory standards, we include guardrails for fool-proof AI approaches. You’ll experience optimized performance, faster time-to-market, and enhanced product capabilities.

Think: 

• Elevated product development
• Smooth software updates
• Efficient development teams
• Happier, more loyal customers.

Software organizations: Supercharging innovation and relevance 

Companies that are software-first operate in fast-moving, fiercely competitive business climates. They find themselves needing to ensure their software development tools and processes are modern and efficient so that they can more effortlessly focus on product iterations and innovation. 

We can ensure AI is integrated into your software development lifecycle and tools to supercharge both innovation and market relevance. With our holistic approach, we examine your teams, processes, and tools and then find ways to integrate AI— so that developers’ talents are maximized and the produced code has fewer bugs and security issues. Our aim is to help you exceed your software development goals and stay ahead of the competition.

You achieve:

• Development effectiveness
• More robust, problem-free code
• Innovation speed
• Faster time to market.