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Home»Web 3»Junkies Coder Launches Agentic AI & Enterprise Modernization Practice to Close the Gap Between AI Ambition and Legacy Reality
Web 3

Junkies Coder Launches Agentic AI & Enterprise Modernization Practice to Close the Gap Between AI Ambition and Legacy Reality

2026-06-16No Comments3 Mins Read
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New practice helps companies move AI agents from pilot to production by modernizing the architecture, infrastructure and DevOps foundation on which they run

Ahmedabad, India, June 16, 2026 /PRNewswire/ — Junkies Coder, an Ahmedabad-based software engineering company, today announced the launch of its Agentic AI & Enterprise Modernization practice, a dedicated unit built to help companies reliably deploy AI agents by first modernizing the legacy systems, cloud infrastructure and delivery pipelines these agents depend on.


Junkies Coder Enterprise Business for AI transformation and application modernization

The launch addresses a growing gap between AI ambition and real-world execution. Although companies are rapidly investing in AI, adoption remains a challenge.

Gartner reports that by 2025, less than 5% of enterprise applications will contain task-specific AI agents, a number expected to rise to 40% by the end of 2026.

However, Gartner also predicts that more than 40% of AI projects will be abandoned by 2027 due to rising costs, unclear business value, and the complexity of integrating AI agents into existing legacy environments.

To support this, McKinsey finds that organizations with fragmented or outdated systems are 30% more likely to experience delays in AI implementation.

“Every corporate board wants AI agents in production. The reason most of the delays are not the model, but the decade of technical debt underneath,” says Shalehin Modasia, Managing Director of Junkies Coder.

“You can’t scale autonomous agents on a brittle architecture. Our practice strengthens the foundational architecture, infrastructure and DevOps so that AI delivers measurable results instead of becoming another abandoned pilot,” he added.

What the practice entails

The Agentic AI & Enterprise Modernization practice brings four traditionally separate disciplines under one delivery model:

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Agentic AI technique – Design, build and manage task-specific and multi-agent systems with the observability and guardrails that enterprises need.

Modernization of enterprise architecture and applications – Re-architecting legacy applications to eliminate the technical debt blocking AI adoption.

Cloud infrastructure – Building scalable, cost-efficient foundations designed for AI and agentic workloads.

DevOps and platform technology – Establishing the CI/CD pipelines, automation, and governance that allows teams to ship faster and operate securely at scale.

By combining these capabilities under one responsible team, combining enterprise application modernization services with the delivery of production-level agents, Junkies coder compresses the journey from AI experiment to production while addressing the cost, value and risk failures.

“Modernization and AI are usually sold as separate projects, which is exactly why both are underperforming,” he says Abhishek Singh, CEO of IndiaAI Mission.

“We treat them as one technical issue so that customers see work results within weeks rather than after a multi-year transformation,” he added.

This practice is emerging as Indian enterprises and global corporations accelerate investments in AI-led engineering and positioning Ahmedabad as a growing hub for talent.

The Agents AI & Modernization of enterprises The practice is immediately available at Junkies Coder for business and medium-sized customers.

Junkies Coder is a mobile app development company in Indiawhich offers enterprise software, AI agent development and DevOps services for clients in India and global markets. Founded in 2016, the company works with companies to build, modernize and scale the technology that powers their operations.

Website: https://www.junkiecoder.com/

Photo: https://web3wire.org/wp-content/uploads/2026/06/Junkies_Coder.jpg

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