Building Better Software: A New Blueprint for the Agentic SDLC | Sonar Summit 2026

How will software development evolve as AI coding agents become more autonomous? In this Sonar Summit 2026 keynote, Tariq explores how the rise of agentic AI development is reshaping the software development lifecycle. Traditional continuous integration workflows rely on frequent human-driven commits, but AI agents can generate large batches of code asynchronously—introducing new challenges for verification, maintainability, and software quality. To address this shift, Tariq introduces the Agent-Centric Development Cycle (AC/DC)—a blueprint designed to help organizations scale AI-driven development while maintaining strong standards for code quality and security. In this talk, you’ll learn: How autonomous coding agents are changing the SDLC Why traditional CI workflows struggle with AI-generated code What the Agent-Centric Development Cycle (AC/DC) is and how it works How organizations can implement reliable software verification for AI-generated code How development teams can maintain trust and accountability in AI-assisted workflows Discover how engineering teams can adapt their development processes to support AI coding agents while ensuring their codebases remain secure, maintainable, and trustworthy. Timestamps: 00:00 — Introduction 00:35 — Sonar’s Origins and Global Developer Community 01:21 — Supporting 40+ Programming Languages and 7,000 Issue Types 02:25 — Quality Gates and Reducing False Positives in Code Analysis 03:13 — AI Integrations and Trusted Code Quality Outcomes 03:49 — Reducing AI-Related Outages with Sonar Code Quality Tools 04:16 — Why Traditional CI/CD Is Giving Way to Agent Workflows 05:04 — The Rise of Agent-Centric Software Development 05:30 — Developers Shifting from Coding to Design and Review 05:53 — Why Agentic Development Requires Guardrails 06:16 — Introducing AC/DC: A New AI Development Lifecycle 06:57 — Why Traditional Code Review No Longer Scales with AI 07:30 — Validating AI-Generated Code Before Check-In 07:47 — The Four Stages: Guide, Generate, Verify, Solve 08:31 — Why Every Company Needs an AI Agent Platform 09:03 — Guide Stage: Context, Constraints, and Coding Standards 09:35 — Verify Stage: AI Can Introduce Complex Bugs and Vulnerabilities 10:05 — Inner-Loop and Outer-Loop Verification for AI Code 10:45 — Solve Stage: Automated Remediation and Learning Loops 11:22 — What the AC/DC Model Requires: Environment, Context, and Trust 12:05 — Why Code Verification Is Mandatory for AI-Generated Code 12:43 — Deterministic Static Analysis Grounding AI Code Review 13:36 — Best Practice: Verification Signal Fusion for AI Development 14:02 — Embedded Context and Fine-Tuned Models for Better AI Coding 14:53 — Specialized AI Coding Agents vs General-Purpose Models 15:43 — Practical Steps to Adopt the AC/DC Development Model 16:04 — Step 1: Require Verification for All AI-Generated Code 16:30 — Step 2: Enable Tool Calling for AI Coding Agents 16:48 — Step 3: Use Agents to Detect and Remediate Code Issues 17:17 — How Sonar Maps to the AC/DC AI Development Framework 17:42 — Dynamic Context and the Sonar Sweep Roadmap 18:21 — AI-Enhanced Code Verification and Issue Prioritization 19:04 — Sonar Analyzers Designed for Agentic Code Analysis 19:29 — AI Hunting Agents Expanding Code Verification Coverage 19:57 — Solve Stage: AI CodeFix and Remediation Agents 21:00 — End-to-End AI Workflow: Guide, Verify, and Solve #SonarSummit #AIinSoftwareDevelopment #AgenticAI #DevSecOps #SoftwareQuality