About Mr. Technology

AI agent changes.
Explained for operators.

Mr. Technology publishes change intelligence for developers and founders who actually run agents. We track consequential releases, pricing, limits, reliability, security, and compatibility—then explain what changed and what to do next.

What we cover

We cover Codex, Claude Code, Gemini CLI, Cursor, OpenClaw, Hermes, MCP, agent skills, models, memory, orchestration, and the infrastructure that keeps agents running.

A story is worth publishing when it changes cost, usage limits, reliability, security, compatibility, or practical capability. Routine funding news, vague predictions, recycled launches, and benchmarks with no operational consequence do not make the cut.

Every report asks: What changed? Who is affected? What does it cost? What could break? What should the reader do?
How we report

Editorial standard

Primary sources first

Pricing, policy, security, compatibility, and incident claims begin with official documentation, repositories, advisories, pricing pages, or status pages. Community discussion can show user experience, but it is not primary proof.

Testing is labeled honestly

Tested reports identify the version, date, environment, method, inputs, configuration, and limitations. If no real test was run, the article says so and is treated as documentation analysis.

Corrections stay visible

Inference, incomplete evidence, and untested claims are labeled. Material corrections record what changed and point to the current evidence instead of silently rewriting history.

Supporting systems

Evidence behind the reporting

News is the primary editorial product. The Registry, scanners, Blueprints, and technical guides support the reporting with inspectable source records and practical implementation context.

Registry

A curated index of skills and MCP sources with provenance, scan states, findings, and explicit evidence gaps.

Browse the evidence Registry

Scanners

gitleaks, Semgrep, Trivy, and SkillSpector examine pinned source revisions. A failed or incomplete scan never becomes a passing verdict.

Inspect scanner results

Blueprints

Free, inspectable workflow manifests for evaluating candidate agent pipelines—not installers, endorsements, or certifications.

Explore Blueprints

Technical guides

Implementation guides, research notes, comparisons, and operator field reports that turn changes into practical decisions.

Read the intelligence library

Registry verdicts are evidence summaries, not security certification. Results are designed to be reproducible when the same pinned source revision, scanner versions, rules, configuration, and supported dependency data are used. A CLEAN result means the configured scanners found nothing they were configured to flag—nothing more.

The editor

Built by Rami Hollingsworth

I am a 23-year military veteran, a 15-year technology veteran, and a Software Engineering graduate. I built Mr. Technology for people dealing with agent changes after the launch post—operators deciding whether to update, pin, test, migrate, or ignore the noise.

Mr. Technology uses AI agents for source monitoring, editorial production, and infrastructure operations. The standard remains the same regardless of who or what performs the work: important claims require evidence, tests must be labeled honestly, and factual errors must be corrected visibly.

For background, credentials, and prior work, see LinkedIn.

Intelligence and evidence are free.

Read the reporting, browse the Registry, inspect Blueprints, and validate every artifact in your own environment. Scoped author support is available separately and never buys coverage, placement, endorsement, or certification.