AI Coding Agents Need Architecture They Can Read
AI-assisted development becomes safer when architectural decisions, constraints, and review rules live inside the codebase.
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Kyluke McDougallRead the analysis
Your Legacy Codebase Is Not AI-Ready Just Because You Bought an AI Coding Tool
AI coding agents can help serious teams move faster, but only when the existing system is legible enough for them to work safely. For many products, the first AI productivity project is making the codebase understandable.
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Kyluke McDougall
AI Coding Sandboxes Are Not Enough. Design the Blast Radius.
Sandboxes, permissions, and allowlists matter. But serious teams also need to decide how far an AI coding agent mistake can spread.
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Kyluke McDougall
AI Coding Agents Did Not Remove the Bottleneck. They Moved It.
Coding agents can create more implementation throughput. The serious question for product teams is whether planning, review, integration, and architecture can keep up.
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Kyluke McDougall
AI Coding Agents Need Guardrails Before They Get Near Production
Claude Code, Cursor, MCP tools, and similar agents are becoming more powerful. For serious product teams, the key question is no longer speed. It is control.
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Kyluke McDougall
On-prem AI coding does not solve the architecture question
Hybrid and on-prem AI coding agents may unlock adoption in regulated companies. They still need architecture, boundaries, review and operational design.
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Kyluke McDougall
MCP turns AI coding agents into connected systems
MCP makes AI coding agents more useful by connecting them to tools, data and workflows. It also means teams need production-style security boundaries around those connections.
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Kyluke McDougall
When AI agents touch databases, speed needs boundaries
AI coding agents can accelerate schema work, migrations and backend changes. They should not be allowed near production data without clear operating rules.
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Kyluke McDougall
When coding agents enter the delivery pipeline
AI coding agents become strategically interesting when they touch CI, pull requests, reviews and deployments. That is exactly when teams need clear operating rules.
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Kyluke McDougall