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Insights on AI agent security, code quality, LLM cost optimisation, and the emerging AI agent economy.

Code ReviewAI Code ReviewCode QualitySoftware EngineeringAI Vyuh

AI Code Review vs Traditional Code Review

AI code review vs traditional code review: how they differ on speed, coverage, and judgement, and how to combine them into one workflow for AI-generated code.

Atin Agarwal ·
AI TransparencyProvenanceAI ComplianceTrustworthy AIAI Vyuh

AI Reasoning Transparency: Why Provenance Is the Next Requirement

AI reasoning transparency is becoming a hard requirement. Why provenance — which sources an AI relied on and if they were current — is the next baseline.

Atin Agarwal ·
AI AgentsLLM CostFinOpsToken CostAI Vyuh

How Much Do AI Agents Cost to Run? LLM Cost per Token in 2026

AI agent costs explained: how LLM cost per token works in 2026, why agents multiply it, where the waste hides, and how to cut spend without cutting capability.

Atin Agarwal ·
AI CodeCode QualityAI-Generated CodeSoftware SecurityAI Vyuh

AI-Generated Code vs Human Code: What the Quality Data Shows

AI-generated code vs human code: what the quality and security data shows on vulnerability rates, technical debt, and the review discipline that closes the gap.

Atin Agarwal ·
AI AgentsAI GovernanceEnterprise AIComplianceAI Vyuh

An AI Agent Governance Framework for Non-Technical Leaders

An AI agent governance framework for non-technical leaders: five questions, four control areas, and an operating cadence for deploying agents safely at scale.

Atin Agarwal ·
AI AgentsEnterprise AIAI RiskAI GovernanceAI Vyuh

Enterprise AI Agent Deployment Risks (and How to De-Risk Them)

Enterprise AI agent deployment risks fall into six areas: security, cost, quality, provenance, reliability, governance. A practical way to de-risk each.

Atin Agarwal ·
AI AgentsAI Agent InfrastructureAgent OrchestrationAI Vyuh

The AI Agent Infrastructure Stack, Explained

The AI agent infrastructure stack has five layers: model, tools, memory, orchestration, and governance. A practical map of what production agents need.

Atin Agarwal ·
AI AgentsAI Agent EconomyAI Vyuh

The AI Agent Economy: What It Is and Why It Matters

The AI agent economy will reach $50B by 2030. What's driving it, the infrastructure stack powering it, and the security, quality, and cost challenges builders must solve.

Atin Agarwal ·
Code QualityAI Vyuh Code QA

The AI-Generated Code Quality Crisis No One Is Talking About

AI coding assistants write code 10x faster. But speed without quality assurance is just technical debt at scale. Here's what we're seeing in production codebases.

Atin Agarwal ·
FinOpsAI AgentsAI Vyuh FinOps

The Hidden Costs of AI Agents Nobody Talks About

AI agents use 5-30x more tokens than chatbots. 70% of tokens are wasted. Here's the real cost breakdown — and how to cut your AI bill by 70-90%.

Atin Agarwal ·
AI AgentsIndiaAI Agent Economy

India's AI Agent Ecosystem 2026: Startups, Funding & Gaps

India has 124+ agentic AI startups and ₹10,372 crore in government backing. The full map of India's AI agent ecosystem and the infrastructure gaps holding it back.

Atin Agarwal ·
FinOpsAI Vyuh FinOps

Your LLM Costs Are an Invisible Problem — Until They Aren't

Most teams don't know what they spend on LLM API calls or which features drive the cost. Here's how to fix AI cost visibility before it becomes a crisis.

Atin Agarwal ·
Vibe CodingAI SecurityCode QualityAI Vyuh

Vibe Coding Security Risks: What the Data Says

53% of AI-generated code ships with vulnerabilities. 35 CVEs in one month. Here's what vibe coders need to know — and how to ship safely.

Atin Agarwal ·
AI SecurityAI Vyuh Security

Why AI Agents Need Their Own Security Assessment

Traditional pentests cover web apps and APIs. But AI agents introduce an entirely new attack surface that requires purpose-built testing methodology.

Atin Agarwal ·