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Micael Carlstedt Consulting Contact

Technology leadership & architecture — Malmö, Sweden

Micael Carlstedt Consulting

Senior technology leadership, architecture and AI-assisted engineering.

Micael Carlstedt Consulting shapes technology vision, strategy and architecture, then stays close to the code and the team to ship it. Pragmatic, people-first and quality-driven.

Strategy Code Works at both altitudes.
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01 About

Two altitudes, one partner.

Micael Carlstedt Consulting is a senior technology-leadership and architecture practice, part of Intersum. It works at two altitudes, shaping technology vision, strategy and architecture, then staying hands-on with the code and the team to ship it. Structured and pragmatic: technology aligned to business goals, empowered teams, and people ahead of process while the work still gets done.

  • Defense
  • Building automation
  • Finance
  • Telecom
  • Retail

At the strategic level

  • Shapes the technology vision and strategy in step with business goals
  • Owns the high-level architecture across teams and products
  • Balances technical risk against operational cost
  • Grows healthy engineering organizations and cultures

Close to the code

  • Works hands-on across system and solution architecture
  • Joins the ceremonies the team owns: dailies, reviews, retros, demos
  • Mentors developers and sets the quality bar
  • Stays a technical lead, not a detached architect
02 Services

Three ways MCC helps a team.

01

Technology leadership & architecture

Set the technical direction, then stay close enough to the code to make it real. MCC works at both altitudes, shaping vision, strategy and architecture across teams and products, and leading hands-on as a technical lead.

  • Technology vision and strategy aligned to business goals
  • Cloud-native, event-driven architecture with Domain-Driven Design
  • Microservices, Event Mesh and infrastructure as code
  • Balancing technical risk against operational cost
  • DDD
  • Microservices
  • Event-driven
  • TypeScript
  • Go
  • .NET / C#
  • GCP
  • Terraform
02

AI-assisted & agentic engineering

Bring modern AI into a team as a governed collaborator, not autocomplete. MCC designs an AI assistance network that amplifies delivery while keeping engineering quality and human judgement firmly in control.

  • Reusable agent skills that encode a team's golden-path workflows
  • Multi-agent orchestration: explore, plan, implement, adversarially verify
  • Custom instructions, persistent memory and MCP wiring
  • Pragmatic governance: generated code is a proposal to be verified, never shipped blind
  • Claude Code
  • GitHub Copilot
  • Agent skills
  • Subagents
  • MCP
  • Prompt/context engineering
03

Quality, delivery & ways of working

Build quality in from the start and keep a steady flow of delivery. MCC introduces the engineering practices and the agile ways of working that let empowered teams own their craft and ship continuously.

  • TDD/BDD and automated quality gates for lasting maintainability
  • Full CI/CD, ephemeral preview environments, progressive delivery
  • DevSecOps shifted left: fail-fast scans on every pull request
  • Coaching teams toward autonomy; measuring with DORA
  • TDD / BDD
  • CI/CD
  • GitHub Actions
  • DORA
  • DevSecOps
  • Trunk-based
03 AI-assisted engineering

An AI assistance network, kept under human control.

MCC treats modern AI as a team of collaborators rather than autocomplete. Working fluently across the leading agentic coding tools, primarily Anthropic Claude (Claude Code) and GitHub Copilot, the practice designs an AI assistance network that amplifies delivery while keeping engineering quality and human judgement firmly in control.

Agent skills

Authoring and packaging reusable skills that encode domain knowledge and golden-path workflows, so the same expertise is applied consistently across a team.

Agents & subagents

Fanning work out to parallel, specialised agents (explore, plan, implement, adversarially verify) and synthesising the results into multi-agent workflows for large migrations, audits and reviews.

Custom instructions

Steering agents with precise, version-controlled project instructions so output matches the team's conventions rather than generic defaults.

Memory

Persistent, repository-scoped knowledge that lets agents retain patterns, decisions and preferences across sessions.

Model Context Protocol

A tool-agnostic standard that connects agents to repositories, issue trackers and internal systems.

Pragmatic governance

Clear guardrails for when AI is trusted and when a human reviews. Generated code is treated as a proposal to be verified, never a result to ship blindly.

MCC treats AI the way it treats people. A new developer is onboarded with clear instructions, conventions and ways of working, then grows from guided to autonomous along a maturity curve, and the same applies to an agent. Instructions, skills and agents “onboard” it so it grasps the team's context, domain and process, and consistently delivers high-quality, review-ready output.

04 Leadership & ways of working

Empowered teams, steady flow.

MCC's way of working is rooted in the Agile Manifesto: individuals and interactions over processes and tools, and building around motivated people given the environment, support and trust to get the job done. Rather than running the day-to-day, it guides the team to build this way of working together (empowered, autonomous and self-organizing), removing impediments and creating the conditions for ownership, steady flow and continuous improvement.

A transparent board the team owns

  1. Backlog
  2. To do
  3. In progress
  4. In review
  5. Ready for review
  6. Acceptance testing
  7. Done

Empowered, self-organizing teams

Built around motivated people who are trusted, with the support to get the job done. Decisions are made by the people closest to the work, not imposed from above.

Guidance over direction

Coaches and clears the path (asks the right questions, removes blockers) instead of assigning and supervising. The team owns its way of working.

Pull top-left, limit WIP

Start the highest-priority work first and finish before starting more, rather than everyone starting their own thing.

Deliver early and often

Frequent delivery of working software, so quality is built in from the start and carried through continuous delivery, not inspected in at the end.

Own your story to Done

Whoever picks up a ticket owns it the whole way, through review and acceptance. The team swarms on blockers and helps each other finish.

No framework dogma

Kanban, Scrum or a blend: the team adopts the practices and cadence that fit the work. People over process, and the same principles hold as teams grow.

CI/CD
continuous delivery, deploy on green
DORA
all four delivery metrics
PR
ephemeral preview per pull request
05 Engagements

Two decades, five industries.

MCC's practice spans two decades and five industries, from safety-critical systems to global cloud platforms. The through-line is senior technical leadership that shapes the architecture and stays close to the code that delivers it.

  1. Retail Technical Lead

    Global customer-support platforms

    Leads returns and outbound-payments products for a global retailer: multi-cloud, ten-plus production deploys a day, all four DORA metrics healthy.

  2. Finance Architect

    Unified banking APIs

    Consolidated a bank's public APIs into a single RESTful interface at full HATEOAS maturity, specified behaviour-first.

  3. Telecom Senior Developer

    Mobile-operator platform modernization

    Moved an MVNO platform toward microservices with behaviour-driven development and continuous delivery.

  4. Building automation Technical Lead

    Building-management platform

    Six years leading configuration, offline engineering and protocol integration, with TDD coaching and automated acceptance testing.

  5. Defense Software Developer

    Command & training simulators

    Built distributed combat and command-training simulators with real-time 3D visualization for tactical evaluation.

06 Capabilities

Where the practice runs deep.

Depth across the stack, expressed as outcomes rather than a tool list. A few signature technologies are named per area; the full technical detail is shared on request.

Cloud-native architecture

Domain-driven, event-driven systems that scale and evolve: microservices and serverless with clear boundaries.

  • Google Cloud
  • Event Mesh
  • DDD
AI-assisted engineering

Modern AI brought into a team as a governed collaborator, amplifying delivery while human judgement stays firmly in control.

  • Claude Code
  • MCP
  • Agent skills
Platform & delivery

Full CI/CD with infrastructure as code, ephemeral preview environments and progressive delivery, measured with DORA.

  • Terraform
  • GitHub Actions
Quality & DevSecOps

Quality built in from the first commit: automated gates, test-first development, and security shifted left onto every pull request.

  • TDD / BDD
  • SAST
  • Playwright
Data & integration

Dependable data platforms and clean API and event contracts that connect services and systems.

  • PostgreSQL
  • BigQuery
  • OpenAPI
Web & experience

Fast, accessible web front-ends, including micro-frontends composed at the edge.

  • React
  • Astro
  • Micro-frontends
07 Contact

Have a complex systems effort that needs steering and shipping?

Available for senior technology-leadership and architecture engagements through Micael Carlstedt Consulting AB. The quickest way to start is an email.

micael@carlstedt.com Enter your access code

Full CV and a detailed project history are available on request, via a private access code.

Elsewhere
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Based in
Malmö, Sweden