01
Context Engineering
Give AI agents the context they need to work effectively within an existing codebase, architecture and engineering standards.
SEVENLABS / AI ENGINEERING TRAINING
Build better software.
Ship faster with AI agents.
A hands-on one-day workshop helping software engineering teams use AI coding agents to dramatically increase development velocity without sacrificing code quality, security or maintainability.
Talk to SevenLabs
On-site workshops available for engineering teams in Zimbabwe.
- Workshop
- AI Engineering Accelerator
- Format
- One day · Hands‑on · On‑site
- Designed for
- Engineering teams
The problem
AI isn’t the problem.
How we engineer with it is.
AI has dramatically increased our ability to generate and modify software. But simply giving engineers access to coding assistants can result in poor architecture, unnecessary complexity, weak tests, security issues and maintainability problems.
The difference is the engineering discipline around the tools.
What can go wrong
- Poor architecture
- Unnecessary complexity
- Weak tests
- Security issues
- Maintainability problems
The shift
From asking AI for code
to engineering with it.
Traditional AI-assisted development
- Requirement
- Prompt
- Generated Code
- PR
Prompt in, code out, straight to a pull request.
SevenLabs AI Engineering workflow
- Requirement
- Specification
- AI Plan
- Agent Implementation
- TestsGate
- AI ReviewGate
- Human ApprovalGate
- PR
What the workshop covers
Six disciplines.
One coherent workflow.
- 02
Spec-Driven Development
Turn ambiguous requirements into precise specifications and acceptance criteria that AI agents can implement against.
- 03
Agentic Development
Move beyond autocomplete and use coding agents to plan, implement, test and debug larger engineering tasks.
- 04
AI-Assisted Testing
Use AI to identify edge cases and generate meaningful tests while maintaining engineering judgement over test quality.
- 05
AI Code Review
Use AI to identify bugs, security issues, missing edge cases and deviations from architecture or specifications.
- 06
Engineering Guardrails
Use repository instructions, automated tests, CI checks, architecture rules and human review to keep AI-generated code safe and maintainable.
Hands-on
Not a presentation.
An engineering workshop.
Participants work through a real feature using an AI coding agent. They learn the workflow by actually using it, rather than simply watching demonstrations.
workshop / feature-workflow
Specify
Turn the requirement into a precise spec and acceptance criteria.
Plan
Have the agent propose an approach before any code is written.
Implement
The agent builds against the spec, within your standards.
Test
Generate and validate tests that actually mean something.
Review
AI review first, then engineering judgement.
Ship
Human approval, then the pull request.
Outcomes
What your engineers will leave with
- A repeatable AI-assisted development workflow
- Practical specification-driven development techniques
- Patterns for working effectively with coding agents
- Techniques for generating and validating AI-written code
- AI-assisted testing and code review workflows
- Practical guardrails for safe AI adoption
- Templates and patterns they can apply to their existing projects
Who it’s for
Built for engineers,
not beginners.
This workshop assumes participants already understand software development. It is designed for teams that want to move from experimenting with AI tools to using them systematically in professional software engineering.
- Software Engineers
- Senior Engineers
- Tech Leads
- Engineering Managers
About SevenLabs
Built by engineers,
for engineers.
SevenLabs is a boutique technology consulting firm helping organisations build, modernise and reliably operate critical technology systems.
- 01
Build
- 02
Modernise
- 03
Operate
Ready to put AI to work across
your engineering team?
SevenLabs delivers practical, hands-on AI Engineering workshops for software engineering teams.
Talk to SevenLabs
One-day on-site workshops available in Zimbabwe.