Shadow AI coding tools expand without security approval
Teams adopt Copilot, Cursor, Claude Code, or Codex independently — creating inconsistent data handling, unreviewed agent permissions, and audit exposure before platform owners can respond.
Developer AI Practice
Agentic Software Engineering
Adopt AI coding agents as an enterprise capability — readiness assessment, secure pilots, repository intelligence, MCP controls, DevSecOps transformation, and governance that scales beyond early adopters.
Multi-Tool EvaluationSecure Pilot DesignRepository IntelligenceMCP & DevSecOpsMeasured Adoption
New practice coverage for Copilot, Codex, Claude Code, Cursor, and enterprise MCP
Why This Matters Now
The challenges that bring enterprise teams to this conversation
Pilots stall without repository context or success metrics
Agent demos look promising in isolation, but without instruction files, approved repos, and baseline productivity measures, leadership cannot justify enterprise rollout.
MCP and agent automation arrive without an operating model
Tool integrations and background agents outpace authentication, authorization, and human-review standards — turning productivity gains into operational and compliance risk.
Strategic context: AI coding agents create lasting value only when tool choice, repository context, security controls, and team operating models are designed together — not when licenses are rolled out without an engineering practice.
Capability Coverage
What the program covers
AI Coding Readiness & Tool Evaluation
Assess engineering maturity, classify repositories, compare Copilot, Codex, Claude Code, and Cursor, and produce a shortlist with pilot scope and value model.
Secure Pilot Design
Bound pilots to approved teams and repositories with security controls, training, baseline metrics, and a report that informs go/no-go for enterprise rollout.
Repository Intelligence
Design AGENTS.md, CLAUDE.md, Copilot instructions, Cursor rules, architecture guidance, and PR standards so agents behave consistently on real codebases.
MCP Integration Enablement
Discover use cases, design MCP servers and schemas, and integrate clients with authentication, authorization, audit, and approval workflows.
Agentic DevSecOps
Embed agents into issue analysis, test generation, PR creation, security review, dependency updates, CI failure analysis, and vulnerability triage.
Enterprise Rollout & Champions
Stand up identity, policies, training, champions, analytics, and an operating model so agentic engineering scales as a managed capability.
Delivery Approach
How we deliver this
01
Assess
Readiness & Tool Fit
Evaluate maturity, repository risk, data-handling posture, and tool fit across Copilot, Codex, Claude Code, and Cursor with a prioritized use-case backlog.
02
Design
Pilot Scope & Controls
Define approved repositories, instruction files, security gates, MCP boundaries, success metrics, and the pilot cohort operating agreement.
03
Enable
Pilot Delivery & Training
Run the secure pilot with team enablement, repository onboarding, office hours, and continuous measurement against the agreed baseline.
04
Adopt
Scale & Govern
Expand to enterprise rollout with policies, champions, analytics, governance handover, and a 90-day optimization cadence.
Capability Programs
Programs for this area
Proof & Perspectives
Implementation evidence and strategic context
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Start your Agentic Software Engineering program
Work with our team to design an enablement program matched to your team's readiness, platform priorities, and delivery timeline.
Multi-Tool Evaluation
Secure Pilot Design
Repository Intelligence
MCP & DevSecOps