Closing the Gap Between AI Ambition and Legacy Reality: Junkies Coder Launches New Modernization Practice

Ahmedabad, India - Junkies Coder, an Ahmedabad-based software engineering company, today announced the launch of its Agentic AI & Enterprise Modernization practice, built specifically to help enterprises deploy AI agents reliably by first addressing the legacy systems, cloud infrastructure, and delivery pipelines those agents ultimately run on.

The timing reflects a widening disconnect between enterprise AI ambition and what's actually shipping into production. Enterprises are investing aggressively in AI, yet adoption keeps stalling at the execution stage.

The scale of that stall is measurable. Gartner reports that fewer than 5% of enterprise applications included task-specific AI agents in 2025, a figure projected to climb to 40% by the end of 2026. Despite that growth curve, Gartner also forecasts that more than 40% of agentic AI projects will be abandoned by 2027, driven by rising costs, unclear business value, and the difficulty of integrating AI agents into legacy environments that weren't built for them. McKinsey's research reinforces the same pattern: organizations running on fragmented or outdated systems are 30% more likely to experience AI implementation delays.

"Every enterprise board wants AI agents in production. The reason most stall isn't the model, it's the decade of technical debt underneath it," said Shalehin Modasia, Managing Director of Junkies Coder. "You cannot scale autonomous agents on brittle architecture. Our practice strengthens the foundation, architecture, infrastructure, and DevOps, so AI delivers measurable outcomes instead of becoming another abandoned pilot."

What the Practice Covers

The Agentic AI & Enterprise Modernization practice unifies four disciplines that are typically managed in isolation, bringing them under a single delivery model:

Agentic AI engineering — Designing, building, and governing task-specific and multi-agent systems with the observability and guardrails enterprises require.

Enterprise architecture & application modernization— Re-architecting legacy applications to remove the technical debt blocking AI adoption.

Cloud infrastructure— Building scalable, cost-efficient foundations engineered specifically for AI and agentic workloads.

DevOps & platform engineering — Establishing the CI/CD pipelines, automation, and governance that let teams ship faster and operate safely at scale.

By pairing enterprise application modernization with production-grade agent delivery under one accountable team, Junkies Coder shortens the distance between AI experimentation and production, directly addressing the cost, value, and risk factors driving project abandonment industry-wide.

"Modernization and AI are usually sold as separate projects, and that is exactly why both underdeliver," said Abhishek Singh, CEO of IndiaAI Mission. "We treat them as one engineering problem, so clients see working outcomes in weeks rather than after a multi-year transformation."

The practice launches as Indian enterprises and global firms accelerate investment in AI-led engineering, a shift that continues to position Ahmedabad as a growing talent hub for this work.

The Agentic AI & Enterprise Modernization practice is available immediately to enterprise and mid-market clients at Junkies Coder.

Junkies Coder is a mobile app development company in India, offering enterprise software, AI agent development, and DevOps services to clients across India and global markets. Founded in 2016, the company partners with businesses to build, modernize, and scale the technology that runs their operations.