Three monitors where two side screens send review beams to the code on the central screen

AI Engineering Enablement

We help your developers use AI coding tools safely: faster work, without unchecked code or exposed passwords.

Coding agents such as Claude Code, Cursor, Codex and Copilot make developers faster - and make it easy to merge code nobody has really checked. RemSoft.Dev sets your team up with the same system we deliver with every day: ConnectOtherAIs puts every plan and diff in front of models from other vendors before a person sees it, CredsForDevs lets agents use servers and databases without ever receiving a password, and approval gates keep engineers in charge. We add AI task estimation and engineering analytics where they help, and train your developers on your own codebase. Across 1,087 review rounds, reviewers from different vendors overlapped on only 5-9% of findings - a second vendor catches different defects, not the same ones.

Services
RemSoft.Dev Team
RemSoft.Dev Team
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What is included

We start with AI discovery - a short, fixed-scope, paid look at how your team uses agents today and where the risk sits - then roll out what fits.

  • Independent review gate ConnectOtherAIs reviews the plan before code is written and the diff after, using models from other vendors - an agent cannot see its own assumptions. Every finding and decision is logged.
  • Agent access without secrets CredsForDevs keeps SSH, database and VPN credentials in the OS keychain; agents act through a broker and never receive the secret. Every agent permission is off by default.
  • Rules and approval gates One shared rule set for every agent session, repository instructions, and approval points where a person decides - nothing merges because an agent said so.
  • Estimation & analytics AI task estimation for sprint planning and analytics on pull requests, to see what agents actually change in delivery.
  • Training Hands-on sessions on your own codebase, so the practices stick after we leave.

From our own AI-assisted delivery

1,087

independent review rounds across 14+ repositories

5-9%

overlap between vendors - a second vendor finds different defects

~90%

agreement between AI estimates and senior developers in a 100+ developer company

Who this fits

  • Engineering teams already using Claude Code, Cursor, Codex or Copilot
  • Leaders who want agent speed without merging unchecked code
  • Teams whose agents need server or database access
  • Companies that must show auditors how AI-written code was reviewed

Why trust our process?

Because we run it on our own work before we sell it. Our Dew Flow orchestrator, ConnectOtherAIs review gate and CredsForDevs vault are in daily use, and the reviews have caught real defects: a commission error in a payroll application, an API key slipping past redaction in streamed responses and a cross-tenant authorization gap in a SaaS. More: a 15-agent delivery system, AI task estimation and engineering analytics on 500+ pull requests.

Case studies from our work

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Tell us about your project - we will propose an approach, a timeline and a first estimate.

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