XeonTech

We build calm, capable software for technical teams.

XeonTech creates focused products that help engineers understand complex systems, collaborate on hard issues, and move from uncertainty to evidence faster.

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Developer-first: Products built around real debugging and delivery workflows.
Local control: We avoid unnecessary cloud dependency for sensitive technical data.
Practical AI: Agent integrations are designed to assist the work, not decorate it.

XeonTech product lab

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ProxyLens

Native macOS HTTP debugging proxy

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MCP-first workflows

Structured product context for coding agents

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Team handoff

Evidence, logs, and notes that survive the meeting

What we care about

Software should make technical work clearer.

We build for the uncomfortable middle of engineering work: production bugs, unclear integrations, release pressure, and the moments where a team needs shared evidence more than another dashboard.

fact_check

Evidence over opinions

Our tools help teams capture what happened, not just describe what might have happened.

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Native where it matters

When speed, privacy, and OS integration matter, we choose focused native experiences.

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Agent-ready context

We design integrations that let AI agents inspect structured facts and assist debugging without guessing blindly.

Products

ProxyLens is our macOS network debugging product.

Capture HTTP and HTTPS traffic, mock responses, save sessions, share logs with your team, and debug issues with your favorite agent through the ProxyLens MCP server.

check_circleInspect requests, responses, headers, payloads, and status codes

check_circleShare focused logs instead of long screenshots or meeting notes

check_circleUse MCP to bring structured network context into agent-assisted debugging

Open ProxyLens page arrow_forward play_circle Watch demo

ProxyLens

terminal Shared debug context

{
  "request": "POST /v1/checkout",
  "status": 503,
  "shared_log": "checkout-regression",
  "mcp_context": "available",
  "next_step": "inspect retry policy"
}

How we build

Small products, strong opinions, practical outcomes.

Start with a real workflow

We build from concrete moments where teams lose time, context, or confidence.

Keep the interface direct

Clear controls, stable layouts, and language that respects technical users.

Respect sensitive data

Local-first choices matter when products touch traffic, logs, credentials, or source context.

Use AI where it helps

Agents are most useful when the product gives them structured context instead of vague prompts.

Talk to XeonTech