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Agentic Software Engineering

Adopt AI coding agents as an enterprise engineering capability.

Help engineering organizations adopt AI coding agents securely — from readiness and tool evaluation through secure pilots, enterprise rollout, MCP integration, DevSecOps transformation, and developer AI governance.

Readiness & tool evaluationSecure pilotsMCP & DevSecOpsDeveloper AI governance
Practice coverage for GitHub Copilot, OpenAI Codex, Claude Code, and Cursor.

Practice Pillars

How Agentic Software Engineering is structured for enterprise teams

Assess fit, pilot with controls, scale the operating model, and govern continuously — so agentic workflows become managed capability rather than shadow IT.

Assess and select

Evaluate engineering maturity, repository risk, and tool fit across GitHub Copilot, OpenAI Codex, Claude Code, and Cursor before committing to an enterprise platform bet.

Pilot with controls

Run bounded secure pilots with approved repositories, instruction files, security gates, training, and baseline metrics that prove value without widening blast radius.

Scale the operating model

Roll out identity, policies, MCP controls, champions, analytics, and governance so agentic workflows become a managed enterprise capability — not shadow IT.

Govern and improve

Codify approved tools and models, human-review requirements, audit trails, and continuous optimization for productivity, cost, and security posture.

Consulting Packages

Engagements that move from assessment to governed scale

AI Coding Readiness Assessment

Engineering maturity, repository classification, data-handling review, security posture, use-case prioritization, tool shortlist, and an adoption roadmap with an initial value model.

Book readiness assessment

AI Coding Tool Evaluation

Structured comparison of GitHub Copilot, OpenAI Codex, Claude Code, and Cursor across codebase understanding, security, administration, integration, cost, and auditability.

Request tool evaluation

Secure Engineering Pilot

One or two teams, approved repositories and workflows, repository instructions, security controls, training, baseline metrics, and a pilot report leadership can act on.

Plan a secure pilot

Enterprise Rollout

Identity and access, team configuration, approved models, repository onboarding, MCP controls, security policies, champions, analytics, and a durable operating model.

Design enterprise rollout

Repository Intelligence

AGENTS.md, CLAUDE.md, Copilot instructions, Cursor rules, architecture guidance, security rules, and pull-request standards that make agents reliable on your codebases.

Improve repository intelligence

MCP Integration Factory

Use-case discovery, MCP server design, schemas, authZ, audit, approval workflows, client integration, testing, documentation, and support for production MCP tooling.

Build MCP integrations

Agentic DevSecOps

Agent-assisted issue analysis, test generation, PR creation, code and security review, dependency updates, CI failure analysis, vulnerability triage, and runbook generation.

Transform DevSecOps

Developer AI Governance

Approved tool and model matrices, repository classification, source-code handling, MCP and command-execution policy, human-review rules, audit requirements, and incident handling.

Establish governance

Start Here

Ready to shape an agentic software engineering program?

Share your current coding-tool landscape, security constraints, and rollout goals. We'll help design the right assessment, pilot, or governance path.

Tool evaluation
Secure pilot design
MCP & governance

Engagement Confidence

A direct, founder-led review before scope, delivery model, and commercial terms are proposed.

Response window

< 1 business day

Client coverage

India + global teams

Engagement format

Virtual, on-site, hybrid