Ship faster with
AI-assisted coding
I help development teams adopt agentic coding workflows that actually stick — from custom tool configuration to hands-on team enablement.
Sound familiar?
Most teams adopt AI coding tools the same way — and hit the same walls.
Copy-paste from chat
Your team uses AI as a glorified search engine — copying snippets from chat interfaces instead of integrating it into their actual workflow.
No consistent approach
Everyone uses different tools differently. No shared conventions, no reusable workflows, no way to build on each other's discoveries.
Wasted tool spend
You're paying for AI coding tools but getting a fraction of the value. Without proper adoption, licences become an expensive chat window.
What I do
Practical, hands-on consulting — not slide decks and strategy documents.
Workflow design
Custom agentic coding workflows tailored to your stack. I configure project instructions, skills, hooks, and MCP integrations so your AI tools understand your codebase and conventions.
- Project-specific CLAUDE.md and configuration
- Custom skills for your team's patterns
- MCP server integrations for your internal tools
- Hooks for automated formatting, linting, and safety checks
Team enablement
Hands-on guidance embedding AI-assisted development into your team's daily work. I pair with your developers to build habits, not just knowledge.
- Pair programming sessions with agentic workflows
- Code review integration and PR automation
- Parallel development patterns with subagents
- Context management and cost optimisation
Process consulting
Audit your current AI tooling and adoption. I identify where you're leaving value on the table and build a concrete plan to close the gap.
- Current workflow and tooling audit
- Adoption gap analysis across the team
- Tool selection and configuration strategy
- Measurable improvement roadmap
Need structured training too? I also run workshops and training courses on AI-assisted coding.
View training programmeHow it works
A straightforward engagement designed for short sales cycles and fast results.
Audit
I spend time with your team and codebase to understand your stack, workflows, and where AI tools are (or aren't) being used. No assumptions — just observation.
Implement
I design and deploy custom workflows, configure your AI tooling, and set up the integrations that make agentic development practical for your specific context.
Enable
I work alongside your developers to embed the new workflows. Pair sessions, code reviews, and iteration until the team owns the process and adoption sticks.
Frequently asked questions
Common questions about AI implementation consulting and team adoption
Most teams use AI coding tools as a glorified search engine — copying snippets from a chat window instead of integrating AI into their development workflow. Without consistent conventions, shared project instructions, or configured tooling, each developer reinvents the wheel daily. The gap between having tool licences and getting measurable productivity gains is adoption quality: custom CLAUDE.md configurations, reusable skills, MCP integrations for internal tools, and team-wide workflow patterns that compound over time.
Training teaches your team what AI coding tools can do and how to use them effectively — it builds knowledge and skills in a structured workshop format. Implementation consulting goes further: I work directly with your team's codebase, configure tooling for your specific stack, set up project-level instructions and custom skills, and pair with developers until the workflows are embedded in daily practice. Training gives your team the knowledge; consulting ensures the knowledge turns into lasting habits and measurable results.
Focus on outcomes, not activity metrics. Useful indicators include cycle time (how quickly features move from idea to production), PR throughput, time spent on boilerplate versus creative problem-solving, and developer satisfaction surveys. Avoid measuring lines of code or commits per day — these incentivise the wrong behaviour. I help teams establish a baseline during the audit phase, then track concrete improvements over the engagement. Most teams see measurable gains within the first two to three weeks of properly configured agentic workflows.
Successful rollout follows three phases: audit, implement, enable. First, spend time with the team and codebase to understand current workflows and where AI is underused. Second, design and deploy custom configurations — project instructions, automated hooks for formatting and linting, MCP server integrations for internal tools. Third, pair with developers individually to embed workflows into daily habits through code reviews, pair programming sessions, and iterative refinement. The key is building habits, not just transferring knowledge.
These are the building blocks of a well-configured agentic coding workflow. CLAUDE.md files are project-level instructions that give AI tools context about your codebase — architecture decisions, coding conventions, common patterns. Custom skills are reusable templates for recurring tasks like code review, test generation, or deployment. MCP (Model Context Protocol) integrations connect AI tools to your internal systems — databases, CI/CD pipelines, documentation — so the AI can work with your actual infrastructure, not just the code in front of it.
Have a question about your team's AI adoption?
Ready to transform how your team codes?
Let's talk about where AI-assisted coding can make the biggest difference for your team.
No commitment needed — just a conversation about your team's challenges.
Trusted by
Organisations I've worked with on AI-assisted coding adoption.