Coforge Introduces Forge-X to Improve Software Projects and Engineering Productivity

New Forge-X platform by Coforge helps teams deliver software faster, improve project quality, and coordinate work across multiple locations

Coforge announced the introduction of Forge-X an integrated engineering and delivery platform that totally changes the way software is delivered. It is based on agentic AI concepts. To deliver complex technology transformations at scale this whole platform uses autonomous AI agents that leverage Coforge's deep engineering experience and use contextual decision-making based on the firm's industry domain depth.

Forge-X which was designed and built by Coforge's Advanced Engineering Services Unit is based on an AI-based approach that covers both the Software Development Life Cycle (SDLC) and the Product Development Life Cycle (PDLC). Forge-X ensures speed adaptability and industrialization across product development projects with the goal of providing clients with futurist digital platforms at scale with quicker time-to-market improved stability and reduced engineering costs.

Forge-X is the backbone of Coforge's AI-native software development enabling intelligent delivery at scale through a tightly integrated ecosystem of tools agentic assistants and joint platforms. It orchestrates development teams across geographies leverages specialized domain knowledge and connects effortlessly with third-party systems such as Jira LeanIX Ardoq and ServiceNow. Forge-X guarantees that each phase of the software development lifecycle is context-aware automated and optimized for speed, quality, and business alignment, with agents supporting each role from product owners to architects, engineers, testers, and operations.

The Coforge Forge-X platform is supported by three key pillars. In order to guarantee that engineering decisions are based on domain semantics tool functions with contextual awareness and deliverables are in alignment with both business and technical expectations the platform first combines the business's deep domain experience into its engineering fabric.

Second the team has created a collection of specialized AI agents meant to address particular engineering problems. The agents were created to provide incremental intelligence improve productivity and help with rapid optimization. They are regularly improved through feedback from actual projects. Thirdly the platform has a wide range of industrial-grade tools and accelerators designed for specific engineering duties.