Agentic engineering teams

Agent teams that ship inside your sprint.

We design and stand up AI agent teams that plan, build, review, and ship inside your existing delivery process, on Claude Code, GitHub Copilot, or both. Your backlog, your repos, your definition of done.

Practitioner-led Platform-agnostic Humans approve every merge

Works with the tools you already run

  • Claude Code
  • GitHub Copilot
  • Copilot Studio
  • Azure DevOps
  • Jira
  • GitHub Actions

The method

Paired Teams: one agent team plans, one builds, and your people approve.

Most teams have AI seats but no system. Everyone prompts differently, nothing is shared, and nobody can say what changed. Paired Teams gives the agents roles, a contract between them, and the same guardrails your engineers already follow.

Delivery team · works in your backlog tool

Product Manager
turns goals into specs
agent
Delivery Lead
plans, routes, reports status
agent
Reviewer
checks scope, standards, and brand
agent
Product Owner
approves every spec
human

Engineering team · works in your repo

Engineering Lead
architecture and implementation
agent
QA
tests against acceptance criteria
agent
Code Reviewer
pre-PR review against your standards
agent
Your engineers
review and merge
human
  • Roster and charters. Every agent has a role, an owner, and limits, mapped to your team.
  • Source-of-truth hub. Standards, architecture, and decisions the agents read before they act.
  • Spec contract. One ticket format moves work from planning to code: goal, files, acceptance criteria, test plan.
  • Repo rulebook. CLAUDE.md, copilot-instructions.md, and agent definitions that live with your code.
  • Guardrails. Branches and PRs only, CI gates, scoped tool access, no secrets in prompts.
  • Feedback loop. Agents raise open questions instead of guessing, and decisions get logged.

Inside your sprint

Your ceremonies stay. The agents join them.

Paired Teams fits Scrum or Kanban as you run it today. No new process, no parallel board.

Refinement

Delivery agents draft stories and specs from your backlog and flag missing acceptance criteria. Your Product Owner decides.

You get: ready-to-build specs

Planning

Specs arrive with a file list, an implementation plan, and known risks, so estimates start from detail instead of guesses.

You get: plans you can estimate

The sprint

Engineering agents implement on branches, run the tests, and open pull requests with preview links.

You get: reviewable PRs, not surprises

Review & retro

Agents summarize what shipped and what got stuck, and the rulebook gets tuned for the next sprint.

You get: a team that improves every sprint

How we help

Start with an assessment. Scale what works.

Every engagement is fixed-scope, and every one starts with a free 30-minute readiness consultation.

Readiness Assessment

A 2–3 week look at your SDLC, tools, repos, and governance.

  • A recommended agent roster for your team
  • Risk and governance review
  • A 90-day roadmap

Paired Teams Design

Your agent teams, fully specified for one product team.

  • Charters and RACI mapped to your roles
  • Spec contract and repo rulebooks
  • Guardrail and permission policy

Pilot

We stand it up on one team or repo and run it for one to two sprints.

  • Live setup in your tools
  • Measured against your own baseline
  • Tuned with your engineers

Enablement & Scale

Roll the pattern out and keep it sharp.

  • Training for leads and engineers
  • Template rollout to more teams
  • Monthly tune-ups on retainer

Case study

We run Paired Teams on our own product.

DetailDock is our booking, messaging and payments app for mobile boat detailers and the boat owners they serve. It's built and run by a Paired Teams setup: a delivery team that writes specs, an engineering team that implements them in the repo, and a human who approves every merge.

Ask for a walkthrough
  • Specs, not prompts. Every change starts as a written spec with acceptance criteria.
  • Checked on every change. CI runs lint, type checks, tests, the build, and a dependency audit.
  • Separate environments. Development and staging are isolated from production.
  • The same templates we install for clients. Roster, rulebooks, and spec contract.

Why Tact Net

Built by a practitioner, not a slide deck.

Practitioner-led

The engineer who designs your agent teams builds and runs them on real codebases. You work with that engineer directly.

Platform-agnostic

Claude Code, GitHub Copilot, Copilot Studio, or a mix. We design the pattern first, then fit it to the tools you've approved.

Process-native

Agents work your backlog, your branches, and your definition of done. Nothing goes around your process.

Ready for red tape

Security reviews, approved-tool lists, and change boards are part of the design, not an afterthought.

About

Engineers first. Agents second.

Tact Net is led by Bryan Neuberger, a senior mobile engineer who designs agentic engineering teams for software organizations. Paired Teams came out of shipping real software with agents, then making that repeatable.

We've built the same pattern on Claude Code and on GitHub Copilot with Copilot Studio, and we design it to pass the security reviews, tool approvals, and governance that larger organizations require.

We work remotely with teams across the U.S. and in person around Tulsa.

Talk with Bryan

FAQ

Good questions to ask first.

Who is this for?

Software teams that already ship: product companies, dev shops and agencies, and enterprise IT groups. If you have engineers, a backlog, and AI seats nobody is getting full value from, it's for you.

Do we have to use a specific AI tool?

No. Paired Teams is a pattern, not a product. We've built it on Claude Code and on GitHub Copilot with Copilot Studio, and we fit it to the tools your organization has approved.

Will this replace our engineers?

No. Agents take on drafting, implementation, and checking. Your people keep the decisions: what gets built, what gets approved, and what gets merged.

How does it work with our security and compliance rules?

We start from your rules: approved tools, data classification, and access policies. Agents get least-privilege access, work on branches only, and never merge on their own.

How do engagements and pricing work?

Every engagement is fixed-scope. Most teams start with a Readiness Assessment, then move to design, a pilot, and optional ongoing enablement. The first 30-minute consultation is free, by video or phone.

Do we need to change our process?

No, and that's the point. Agents fit Scrum or Kanban the way you run it, inside your backlog tool and your repos.

Start here

See where agents fit in your delivery process.

A 30-minute readiness consultation is free, by video or phone. You'll leave with a clear read on where agents would help your team first, even if it's not with us.

On video you can share your screen and show us your boards, repos, and tools. Nothing to prepare.

We reply within one business day. See our privacy policy.

Your engineers have AI seats. Give them a team.

Paired Teams for software organizations, designed, installed, and tuned inside your sprint.

Book a consultation