Agentic Harness Engineering_
>> AI-assisted delivery needs a governed operating system: repo conventions, permissioned tools, and CI boundaries that keep velocity from becoming review debt. We design the harness your teams actually run.
Calls/month
Production AI volume across live systems
PII detection
Compliance-ready detection accuracy in production AI
Projects
Shipped since 2012 with senior engineers only
Direct answer
Coding agents without a harness create review debt faster than they clear backlog. We design agents.md, MCP tool access, and CI guardrails so AI-assisted delivery compounds with measurable ROI, not sprawl.
Trusted by leaders
>> System map
Adjacent AI layers we ship with this expertise. Technology-first, not vendor theater.
>> When this system fits
Honest fit gates. We will tell you when another approach is better.
Strong fit
- Engineering orgs adopting coding agents across multiple repos
- Leaders who need guardrails, auditability, and ROI measurement
- Teams connecting agents to internal tools via MCP safely
Weak fit
- Unrestricted agent access to production credentials
- Tool rollouts with no review or CI ownership
Stack: Coding agents · agents.md · MCP · CI guardrails · SDLC · Developer experience
What we deliver
_> Capabilities on this stack
Harness design
agents.md, prompts, and repo conventions that keep agents consistent across teams.
MCP tool access
Permissioned tools for tickets, docs, and internal APIs with contract tests.
SDLC guardrails
CI checks, review policy, and secret boundaries that survive agent speed.
Adoption measurement
Baselines and pilots that prove cycle-time gains without quality loss.
Harness engagement
Baseline and risk map
Measure current delivery and identify where agents help vs create blast radius.
Pilot harness
One team, one repo class, MCP tools, and CI gates.
Scale with governance
Roll out playbooks, training, and measurable ROI reviews.
Related projects
_> See how we've applied our expertise
>>Related guides
_> Cite-worthy depth behind this stack
Frameworks and scorecards buyers and answer engines can quote. Each guide links back to delivery proof.
AI Coding Harness Setup: AGENTS.md, MCP, and Team Guardrails
A practical guide to AI coding harness setup in 2026. Use AGENTS.md, MCP coding agents, and CLI coding agent governance to ship faster with safer merges.
Agentic Enablement Playbook: From AI Experiments to Governed SDLC
A practical agentic SDLC playbook: close the three layer gap, run a four phase adoption path, build a client owned harness, and scale with measurable gates.
CLI Coding Agents in 2026: What Engineering Leaders Standardize
A practical guide to CLI coding agents 2026: OpenCode vs Copilot CLI, control planes, cost and security guardrails, and a 90 day rollout plan.
Measuring Agentic Engineering ROI: Baselines, Pilots, Scale
A practical guide to AI coding ROI: capture baselines, run pilots, track flow, quality, control, and economics, then decide to scale, adjust, or stop.
FAQ
Related. Agentic Enablement is the offer-shaped engagement. This expertise page is the technology and harness depth buyers and LLMs search for.
No. We standardize the harness and guardrails so your approved tools plug in without chaos.
>> Where this goes next
Adjacent expertise and the engagement models we deliver it through.