About

DVNC Dev. The agentic engineering layer of the DVNC ecosystem.

We make coding agents reliable inside real codebases — the context layer, MCP, evals, CI gates, and custom agents — vendor-neutral across Claude Code, Codex, Cursor, and Gemini. Founder-led: the same engineer who scopes the work ships it and runs the evals.

What we build

Agentic engineering, end to end

The work

Context layer

AGENTS.md, CLAUDE.md, and DESIGN.md, codebase maps, repo-specific skills, and guardrails — so coding agents navigate your code reliably.

Custom agents & MCP

Custom AI agents — customer-service, voice, internal — on your data and channels, plus the MCP servers that connect them to your systems.

Evals, CI & RAG

Eval harnesses, CI gates, and RAG with citations and permissions, so agents stay reliable as your codebase and models change.

Why agent projects fail. A demo agent works once. In production it needs a context layer, evals, guardrails, approval gates, observability, and a team that runs them.

Gartner has warned that more than 40% of agentic AI projects may be cancelled by the end of 2027 — driven by cost, unclear value, and weak risk controls. The agents that survive are the ones built with a context layer, evals, and observability from day one.

Process

How we make agents reliable

1

Audit

Review the codebase, docs, tests, CI, and agent workflow; write the roadmap.

2

Context layer

AGENTS.md, CLAUDE.md, DESIGN.md, codebase maps, and repo skills — before scale.

3

Evals

Golden datasets and an eval harness so agent quality is measured, not assumed.

4

Integration

MCP servers, tools, and multi-agent workflows wired in with approval gates.

5

Observability

Tracing, cost telemetry, and run history for what agents do in production.

6

Operations

Model upgrades, new skills, and monitoring so the system stays reliable.

Newsletter

One letter, every week. Working systems — not hot takes.

Build logs, agentic engineering decisions, agent failures, evals, and what survives real users. Sent weekly, never more.

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