Goals and context
- Clarify product goals, growth stage, constraints, and critical commitments
- Identify stakeholders, team responsibilities, and the evidence available for review
- Agree assessment scope, priorities, and useful outcomes
For software startups
Turn engineering friction into forward motion.
Get an independent view of delivery, architecture, code quality, and technical leadership—then focus the team on the work that matters most.
Service 01Engineering Health CheckAssess delivery, architecture, quality, risk, technical debt, and team health—then turn the evidence into an ordered improvement roadmap.
Delivery flow
- Review how work moves from idea to production
- Examine planning, handoffs, release frequency, and sources of delay
- Identify recurring blockers, rework, and unclear ownership
Architecture
- Review system boundaries, dependencies, data flows, and key decisions
- Assess whether the architecture supports current product needs
- Identify concentration risks, unnecessary complexity, and scaling pressure
Quality and maintainability
- Review testing strategy, code-review practices, and quality controls
- Assess maintainability, consistency, and technical documentation
- Identify defects, fragile areas, and avoidable engineering effort
Reliability and security
- Review operational risks, failure handling, recovery, and security practices
- Assess access, secrets, dependencies, and sensitive-data handling at a practical level
- Record gaps requiring deeper specialist assessment
Team health
- Review roles, collaboration, decision-making, and knowledge sharing
- Identify key-person dependencies and capability gaps
- Assess whether engineering practices support sustainable delivery
Technical debt
- Map debt affecting delivery, reliability, security, or product change
- Separate urgent risk from tolerable constraints
- Estimate relative impact and effort without false precision
Findings and priorities
- Bring evidence into a clear view of strengths, constraints, and risks
- Rank findings by product impact, urgency, and effort
- Separate quick improvements from structural work
Improvement roadmap
- Define practical 30-, 60-, and 90-day actions
- Assign owners, success measures, and review points
- Reassess progress against the same baseline
Service 02Codebase ReviewReview an agreed codebase scope for maintainability, testing, dependencies, performance, security, and release readiness.
Scope and access
- Agree the questions, repositories, components, and review boundaries
- Use only client-authorized source and documentation
- Confirm confidentiality, access method, and exclusions before review
Structure and architecture
- Review modules, boundaries, data flow, and dependency direction
- Compare implementation with the intended system design
- Identify coupling, duplication, and unclear responsibilities
Maintainability
- Assess readability, consistency, complexity, and documentation
- Review error handling, configuration, and common development patterns
- Highlight areas that make safe change difficult
Testing and quality
- Review test coverage by risk rather than percentage alone
- Assess unit, integration, and end-to-end test usefulness
- Identify unstable tests and important untested behavior
Dependencies
- Review dependency purpose, currency, support, and licence concerns
- Identify vulnerable, duplicated, or unnecessary packages
- Note upgrade risks and unsupported technology
Performance and scale
- Inspect likely bottlenecks, expensive operations, and resource use
- Review caching, database access, and workload assumptions where relevant
- Recommend measurement before optimization where evidence is limited
Security and privacy
- Review authentication, authorization, secrets, validation, and sensitive-data paths
- Identify common implementation risks and unsafe defaults
- Treat findings as a focused review, not a security certification
Delivery readiness
- Review build, release, migration, rollback, and observability provisions
- Assess configuration and environment consistency
- Identify barriers to repeatable, low-risk releases
Prioritized findings
- Document evidence, impact, and recommended action for each material finding
- Separate urgent fixes, planned improvements, and accepted trade-offs
- Provide a sequenced remediation backlog for team review
Service 03Fractional Technical LeadershipAdd experienced technical direction, decision support, delivery focus, and team coaching through a separately agreed engagement.
Objectives and mandate
- Clarify business goals, technical pressures, and leadership expectations
- Agree decision rights, responsibilities, availability, and engagement boundaries
- Define useful outcomes and review cadence before work begins
Technical direction
- Translate product priorities into an achievable technical direction
- Make trade-offs visible to founders and engineering leads
- Keep near-term delivery aligned with longer-term needs
Architecture decisions
- Facilitate important architecture and platform decisions
- Record context, options, consequences, and ownership
- Challenge unnecessary complexity and unmanaged risk
Delivery planning
- Shape realistic milestones, sequencing, and technical dependencies
- Surface delivery risks and unblock cross-team decisions
- Balance feature work, reliability, and technical debt
Engineering practices
- Improve practical standards for review, testing, release, and documentation
- Help teams adopt consistent ways of working
- Choose changes that fit the team's maturity and constraints
Team support
- Coach technical leads and support clearer ownership
- Strengthen hiring, onboarding, feedback, and knowledge sharing where agreed
- Reduce key-person risk without replacing accountable team leadership
Stakeholder communication
- Explain technical choices, risks, and progress in business terms
- Create a reliable decision and reporting rhythm
- Align founders, product, engineering, and external partners
Risk management
- Maintain visibility of architectural, delivery, security, and operational risks
- Assign owners and proportionate mitigation actions
- Escalate decisions that need founder or board attention
Review and transition
- Review outcomes and priorities at the agreed cadence
- Track evidence of improvement without guaranteeing results
- Document decisions and support an orderly handover when the engagement ends
Service 04Business Health CheckWe assess the health of your software startup across product, market, finance, technology, delivery, team, and operations—giving you a clear view of key risks and a prioritised plan to address them.
Startup context and objectives
- Understand the business model, startup stage, customers, funding position, and current priorities
- Agree the assessment scope and confidential information required before access is provided
Founder and stakeholder interviews
- Interview founders and agreed key team members
- Identify concerns, assumptions, dependencies, and conflicting perspectives
Market and customer health
- Review target-market clarity, customer evidence, and competitive position
- Assess acquisition channels, retention, and customer-concentration risks
Product health
- Assess the customer problem, value proposition, and product adoption
- Review roadmap quality, prioritisation, and product–market-fit evidence
Financial health
- Examine runway, burn rate, recurring costs, revenue stability, pricing, margins, and financial dependencies
- Present findings as operational analysis, not financial advice
Technology health
- Review architecture, scalability, security, reliability, technical debt, infrastructure, data protection, and critical third-party services
- Reuse findings from the existing Engineering Health Check where appropriate
Delivery health
- Evaluate development flow, release frequency, quality assurance, and incident handling
- Review planning accuracy and delivery bottlenecks
Team and leadership health
- Assess role clarity, skills coverage, key-person dependency, and hiring needs
- Review decision-making, communication, and engineering leadership
Operational and governance health
- Review documentation, access control, vendor management, and business continuity
- Assess intellectual-property ownership, policies, and regulatory exposure without presenting legal certification
Risk identification and scoring
- Record each risk with evidence, likelihood, impact, urgency, and affected business area
- Separate confirmed risks from assumptions requiring further investigation
Overall health classification
- Produce an indicative—not validated or definitive—overall risk level
- Indicative levels
- Stable — risks are controlled
- Watch — some risks need planned attention
- At Risk — material risks could affect growth or delivery
- Urgent — immediate intervention is recommended
Prioritised improvement roadmap
- Action horizons
- Immediate — next 30 days
- Near-term — 30–90 days
- Strategic — 3–12 months
- Assign suggested owners, effort, dependencies, and expected risk reduction
- Action horizons
Findings workshop
- Walk founders through the evidence, scoring, major dependencies, and recommended priorities
- Allow management to challenge or clarify findings
Reassessment
- Repeat the health check after an agreed period
- Compare indicative risk movement against the original baseline
Service 05AI-Powered Engineering EnablementWe equip your development team with a structured, repeatable method for using AI throughout the software delivery lifecycle—moving beyond ad hoc prompting to improve planning, implementation, testing, documentation, and engineering quality with appropriate human oversight.
Assess the team and workflow
- Review the development process, technical environment, current AI usage, skills, constraints, and recurring delivery challenges
- Identify where the team relies on ad hoc prompting or lacks consistent verification
- Agree practical enablement goals and boundaries
Identify valuable use cases
- Find practical uses across discovery, requirements, architecture, development, testing, documentation, and maintenance
- Prioritise cases by value, repeatability, risk, and required human judgement
- Exclude uses that cannot be handled safely or responsibly
Review readiness and risk
- Agree repository access and approved tools before any use
- Assess data sensitivity, security requirements, intellectual-property concerns, and organisational policies
- Define what information must not be shared and where human review is mandatory
Establish a repeatable method
- Introduce a workflow from product intent through requirements, architecture, implementation, review, testing, and completion
- Define evidence, approval, and completion expectations at each stage
- Keep the method adaptable to the startup's existing delivery process
Build durable project context
- Create reusable context covering coding standards, architecture decisions, domain knowledge, constraints, and examples
- Teach the team to maintain context instead of relying on isolated prompts
- Protect confidential information and keep context appropriate for the approved tools
Improve specifications and collaboration
- Prepare clear specifications, stories, acceptance criteria, dependencies, and boundaries
- Practise task decomposition, iterative instructions, evidence gathering, verification, and correction loops
- Maintain continuity across development sessions without accepting unsupported output
Apply safeguards during delivery
- Apply the method to agreed real development tasks
- Review generated code, create tests, check edge cases and security concerns, and validate against acceptance criteria
- Keep developers responsible for technical decisions, code quality, verification, and final approval
Create reusable team standards
- Create project instructions, workflow checklists, templates, quality gates, and documentation conventions
- Run agreed hands-on workshops using representative features, defects, refactoring, or documentation tasks
- Adapt standards to the team's environment, policies, and maturity
Pilot, measure, and expand
- Guide an agreed pilot through a complete AI-assisted delivery cycle and address problems as they emerge
- Review usage, delivery time, review effort, defects, developer confidence, and needed adjustments without guaranteeing improvement
- Provide a prioritised enablement roadmap with ownership, coaching needs, expansion steps, and reassessment milestones
Service 06On-Demand Specialist EngineeringWe provide experienced software engineers to implement, debug, or improve a clearly defined part of your product when it requires specialist expertise or exceeds your team’s current capacity—working alongside your developers with clear scope, quality controls, and knowledge transfer.
Discover the challenge
- Understand the feature, defect, performance issue, integration, or technical constraint
- Clarify why specialist expertise or additional capacity is needed
- Identify affected users, systems, and immediate delivery risks
Define scope and outcomes
- Define the exact work area, expected behaviour, and completion conditions
- Agree acceptance criteria, dependencies, exclusions, and client responsibilities
- Keep the assignment focused rather than open-ended staff augmentation
Match the specialist
- Identify required engineering skills, technology experience, domain knowledge, and seniority
- Confirm collaboration needs and decision authority
- Agree the assignment before any specialist work begins
Prepare access and orient
- Agree secure repository and environment access, communication channels, data restrictions, and confidentiality requirements
- Review relevant architecture, code, standards, tests, documentation, and known limitations
- Provide access only after client approval and remove it according to the agreed handover plan
Investigate and plan
- Reproduce defects, analyse root causes, examine dependencies, and compare implementation options
- Identify delivery risks, affected components, side effects, and rollout considerations
- Prepare a focused approach with testing requirements before implementation
Implement the agreed work
- Implement the approved feature, correction, integration, optimisation, or refactoring
- Work within the agreed scope and the company's engineering standards
- Keep material technical decisions visible to the internal team
Test and review
- Check functionality, edge cases, regressions, security, performance, and maintainability
- Review the work collaboratively with the internal development team
- Respond to feedback and resolve material issues before acceptance
Support release and transfer knowledge
- Assist with merging, deployment preparation, monitoring considerations, and release activities only within the agreed scope
- Do not imply production deployment or ongoing monitoring is included by default
- Document important changes, decisions, limitations, operational considerations, and maintenance needs
Accept and follow up
- Demonstrate the completed work and verify agreed acceptance criteria
- Transfer knowledge and ownership back to the company
- Review the delivered section after an agreed period and address only issues covered by the engagement terms
Choose the smallest useful next step
Start with the engineering constraint.
Tell us what is slowing the team down. We will help you identify the most useful place to begin.