Agoda AI Developer Report 2026

From AI Assistants to Autonomous AI: How Developers Navigate the Next Shift

AI agents are reshaping software development across Southeast Asia and India.
The question is no longer whether to adopt them, but how to scale them responsibly.

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Four Findings Shaping Agentic AI in 2026

Performance is
accelerating

Performance illustration

55%

of developers now save at least seven hours each week using AI.

Agents are moving into production

AI agent network illustration

53%

of developers report AI agents in production or broad use across their organization.

Cost is the leading barrier
to scale

Cost balance illustration

28%

of developers cite cost as the main barrier to wider AI-agent adoption.

Human oversight
remains central

Growth arrow illustration

79%

require human approval before an AI-led production deployment.

Voices from the Report

Inside the Report

AI assistant icon

The AI Assistant Era

Performance, usability, and time saved

Agentic AI icon

Agentic AI Adoption

Where developers are putting agents to work

Cost icon

The Real Cost of Agentic AI

Moving beyond model costs

Governance icon

Trust, Governance, and Accountability

Where humans retain control

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The Developer’s New Reality

Skills, leverage, and experience gap

Regional impact icon

Implications for the Region

What leaders can do next

AI in Action Across Southeast Asia and India

Agoda

Built CodeMaster, a platform that gives coding agents a governed environment in which to work, targeting 10% of merge requests written by agents this year.

Omise

Extended AI across the software development lifecycle, from payment spec analysis to autonomous customer support and underwriting agents.

SCB 10X

Runs agentic systems in production, from news sourcing to venture-capital research, while proving speed must be matched by strong evaluation and accountability.

Dataxet:Sonar

Built an agentic pipeline that turns monthly data into decision-ready insights for the CTO and Board, a shift from static reporting to autonomous, judgment-driven analysis.

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Explore the full dataset, country-level insights, executive perspectives, and developer stories from across Southeast Asia and India.

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