Clean Code and Software Craftsmanship (with AI Code Review) Corporate Training
Write code your team loves to work with, reviewed by humans and AI.
This instructor-led program gives development teams practical methods for writing clean, maintainable code and reviewing it with AI assistance, with every technique validated through hands-on labs.
Instructor-led group trainingVirtual / on-site / off-site10 languagesDelivered inEnglish, Spanish, Mandarin, German, Arabic, Portuguese, Hindi, French, Japanese, Italian100+ countriesWe have delivered inUnited States, United Kingdom, India, Canada, Germany, France, Netherlands, UAE, Saudi Arabia, Singapore, Australia, Japan, Brazil, South Africa and 90+ more countries
How we build a craft-driven team
The Edstellar CLEAN CODE & SOFTWARE CRAFTSMANSHIP Capability Model
Diagnose code health
We review your codebase for smells, duplication, and review bottlenecks to find where craft practices pay off.
Standardize clean patterns
Your team learns one shared set of clean code standards, review habits, and AI review workflows.
Practice in guided labs
Developers refactor real code and run AI reviews in hands-on labs, coached on craft and judgment.
Measure code outcomes
You track defect density, review turnaround, and rework rates to prove craft is improving delivery.
Scale what works
Winning standards and review patterns become team playbooks your whole organization can adopt.
Need more than one program?Get a group quote
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Program Overview: What is Clean Code and Software Craftsmanship (with AI Code Review)?
Clean Code & Software Craftsmanship (with AI Code Review) is Edstellar's instructor-led program for developers, tech leads, and engineering teams who want codebases that stay readable as they grow. Over 33 hours, participants master clean code fundamentals, SOLID principles, refactoring techniques, test-driven development, and design patterns. The program then adds a modern edge: setting up AI code review workflows and using AI assistants to refactor at scale.
Learning happens at the keyboard. Participants work through refactoring katas on realistically messy code, run code-smell hunts in guided labs, and practice test-driven development red-green-refactor cycles with instructor feedback. Later modules bring AI into the loop: configuring AI reviewers, tuning their rules to team standards, and refactoring entire subsystems with AI assistance. Four practice sessions and a capstone, a full legacy code rescue, close out the program.
Most teams don't slow down because they lack talent; they slow down because every change risks breaking something nobody fully understands. This program teaches developers to leave code cleaner than they found it, to review each other's work rigorously, and to aim AI tooling at the drudgery, so velocity comes from clarity, not from cutting corners.
For the finale, each team takes on a legacy code rescue: a tangled, untested module they must refactor, cover with tests, and put through AI-assisted review until it meets the craftsmanship bar they set on day one. They walk away with refactoring instincts they will use on every pull request from here on.
Over 33 instructor-led hours, participants move from clean code fundamentals to a complete capstone rescue. They apply SOLID principles, hunt code smells, practice test-driven development, and set up AI code review that catches issues before humans do. Every lab mirrors real development work, so teams leave with standards they can apply to their own codebases immediately.
What's Included in this Workshop for Your Enterprise Teams
- 1
Foundations
Understand what makes code clean and why readability is the core of maintainability.
- 2
SOLID
Apply SOLID principles to real code and see designs improve.
- 3
Refactoring
Detect code smells and refactor safely with tests as a safety net.
- 4
TDD
Practice test-driven development as a design discipline.
- 5
AI review
Set up AI code review that catches issues before human reviewers.
- 6
Capstone
Rescue a legacy module with craft practices and AI review.
- Instructor-led delivery across virtual, onsite, and hybrid formats
- 33 hours of guided instruction with hands-on labs in every module
- Course materials, refactoring katas, and review checklists included
- Trainers with real software craftsmanship experience
- Cohort scheduling aligned to your team's availability and time zones
- Post-program support resources for applying standards to live codebases
Build your team's skills. Anywhere in the world.
Real-world use cases
from day one
Instructor-led training
for your teams
Delivered globally
in 100+ countries
Enterprise Training Solutions Customized for Your Company
One partner for instructor-led corporate training, delivered the way your teams work.
Request a Training Quote- Customized Training Delivery
- Scale Your Training: Small to Large Teams
- In-person Onsite, Live Virtual or Hybrid Training Modes
- Plan from 2000+ Industry-ready Training Programs
- Hands-On Labs on Live Infrastructure, Led by Industry Experts
Clean Code and Software Craftsmanship (with AI Code Review) Course Topics and Program Outline
Eight modules take your team from clean code fundamentals to a complete capstone: SOLID, refactoring, TDD, patterns, and AI code review.
Built by Edstellar with software craftsmanship specialists
Built by engineers who practice clean code and review craft in production, shaped around your stack and use cases.
We review your codebase health, review bottlenecks, and defect patterns to target the craft practices with the biggest payoff.
Your team learns clean code principles, SOLID design, and code smells with the refactoring techniques that fix them.
Developers refactor real code, practice TDD, and apply design patterns in guided labs coached on craft judgment.
Teams set up AI code review, run AI-assisted refactors, and rescue a legacy module in the capstone build.
Outcome: a rescued legacy module with clean code standards, tests, and AI review evidence.
Delivered as
Delivered as 33 instructor-led hours with a guided lab in every module and a capstone legacy rescue your team builds and presents.
Audit a real module from your codebase and rename, split, and clarify it against clean code principles.
learna)Naming that reveals intent: variables, functions, classes
b)Small functions and the single responsibility habit
c)Comments: when they help and when they hide design debt
d)Formatting and structure as communication
Refactor a tangled class using SOLID principles until each class has one clear job.
learna)Single responsibility and separation of concerns
b)Open/closed: extension without modification
c)Liskov substitution and interface segregation
d)Dependency inversion and testable design
Hunt smells in a legacy sample, then refactor it step by step with tests green throughout.
practicea)Common smells: long methods, duplication, data clumps, dead code
b)Refactoring catalog: extract, move, replace, introduce
c)Safe refactoring: small steps with green tests between
d)Refactoring legacy code without breaking it
Build a small feature test-first, letting the tests drive the design from the first line.
practicea)The red-green-refactor cycle done well
b)TDD as design: letting tests shape interfaces
c)Testing edge cases and behavior, not implementation
d)When TDD fits and when to adapt the rhythm
Replace a messy conditional sprawl with strategy and factory patterns, then review the result.
practicea)Creational patterns: factories, builders, singletons with care
b)Structural patterns: adapters, decorators, facades
c)Behavioral patterns: strategies, observers, commands
d)Patterns vs over-engineering: knowing when to stop
Configure an AI reviewer on a sample repo with your style rules and let it review real pull requests.
applya)AI review tools: setup in your pull request flow
b)Configuring review rules for your standards
c)What AI reviews catch well: bugs, style, security
d)What AI reviews miss: intent, architecture, tradeoffs
Direct an AI assistant through a multi-file refactor, verifying each change with tests and review.
applya)Planning refactors AI can execute safely
b)Supervising AI across multi-file changes
c)Verifying AI refactors with tests and review
d)Documenting intent so refactors stay honest
Rescue a legacy module with clean code practices and AI review, then present the transformation.
applya)Assessing the legacy module: risks, smells, and seams
b)Rescuing with refactoring, tests, and AI review
c)Presenting the rescue: before, after, and evidence
Customize this program tailored to your team?
Tell us your training needs: what your team already works with, the level they’re at, and the topics you want them to focus on. We’ll adjust the modules, duration and hands-on labs, and send you a customized outline for your group.
Key Skills and Outcomes Your Team Will Gain
Every participant leaves with craftsmanship habits they can apply to their own codebases the week after the program.
Write readable code
Name, structure, and format code so intent is obvious at a glance.
Apply SOLID design
Shape classes and modules around single responsibilities and clean seams.
Refactor with confidence
Detect smells and refactor safely with tests as a safety net.
Practice TDD
Use test-driven development as a design discipline.
Use design patterns
Apply patterns as shared vocabulary for maintainable solutions.
Run AI code review
Configure AI reviewers that catch issues before human review.
Rescue legacy code
Transform legacy modules with craft, tests, and AI review.
Teams that Benefit from this Clean Code and Software Craftsmanship (with AI Code Review) Group Training
This program is built for software developers, tech leads, and engineering managers who want cleaner codebases. Content adapts to each cohort's stack and maturity, so every group practices the craft workflows it actually owns.
Write code the whole team can maintain
Developers learn clean code, refactoring, and review habits they apply to every commit.
Workflow friction
- Legacy code nobody wants to touch
- Inconsistent style across teams
- Reviews that take too long
How the program helps
- Readable, consistent codebases
- Fewer defects from design debt
- Reviews that teach, not just gate
Practice use cases
- Clean coding
- Refactoring
- Code reviews
- Style standards
Raise the quality bar across teams
Tech leads and managers set the craft standards and review practices their teams follow.
Workflow friction
- Quality that varies by team
- Review bottlenecks before release
- No shared definition of done
How the program helps
- Shared quality standards
- Faster, more consistent reviews
- Less rework and defect debt
Practice use cases
- Quality standards
- Review policy
- Team enablement
- Technical debt
Test code that is built to be tested
QA engineers work with cleaner, testable code and use AI review to catch issues earlier.
Workflow friction
- Untestable legacy modules
- Defects found too late
- Manual review overload
How the program helps
- Testable code by design
- Earlier defect detection
- AI review as first filter
Practice use cases
- Testable design
- TDD support
- Review triage
- Defect prevention
Enforce quality in the pipeline
Platform engineers wire AI review and quality gates into the delivery pipeline.
Workflow friction
- Quality checks added too late
- Manual gate enforcement
- Inconsistent review coverage
How the program helps
- Quality gates in CI
- AI review on every pull request
- Standards enforced automatically
Practice use cases
- CI quality gates
- Review bots
- Standards automation
- Pipeline policy
Every cohort blends methods with the coding workflows your teams own, so practice time maps directly to your codebases.
Prerequisites: This program suits software developers, tech leads, QA engineers, and engineering managers. No prior craftsmanship training is needed; everyday coding fluency is enough. Teams with legacy codebases get the fastest payoff by practicing on their own modules. The program adapts examples, labs, and the capstone brief to each cohort's stack and workflow.
Developer to craftsmanship owner
Teams start with clean code and SOLID fundamentals, then refactor and practice TDD through guided labs, finishing with a capstone legacy rescue reviewed by humans and AI.
One program that grows with engineering careers, from clean code basics to confident craftsmanship ownership.
Mixed cohort, or several teams at once?
We can tailor the training to different teams, roles, and experience levels within the same program.
Certificate of Training Completion.
On successful completion, employees receive an Edstellar course completion certificate, recognizing their commitment to ongoing learning and professional development. It validates the skills they have built and motivates them to keep growing and contribute to organizational success.
Earned, not attended. Awarded on completion of all hands-on labs and the capstone project.
Training Delivery Modes: Virtual, Onsite and Hybrid
Choose the format that fits your team: live virtual for distributed developers, onsite at your office for intensive cohorts, or hybrid combining both.
Hybrid Training
A blended schedule with virtual sessions and onsite lab days. Your team gets remote flexibility plus in-person collaboration for refactoring sessions and the capstone rescue.
- Flexible mix of virtual and onsite sessions
- Onsite lab days for refactoring
- Cohorts across locations in one program
- Schedule shaped around sprint cadence
Onsite Training
The full 33 hours delivered at your location. Whiteboard design reviews and face-to-face capstone demos make this the most immersive way to learn software craftsmanship.
- Immersive full-day or multi-day cohorts
- Hands-on labs with your codebase
- Capstone demos to your stakeholders
- No travel cost for your team
Live Virtual Training
Live virtual sessions with breakout labs using your AI review tooling. Teams practice refactoring, TDD, and AI review in real time with instructor coaching.
- Live instructor sessions with breakout labs
- Labs using your AI toolset
- Session recordings for review
- Ideal for distributed engineering teams
Need a training format that works for your team?
Full days, half days across weeks, or split by module. Tell us the delivery window and we schedule the cohort around it.
Frequently Asked Questions
Share your team size and preferred format through the quote form. We respond with pricing and scheduling options within one business day.
Yes, a short call with an advisor maps your stack, team size, and goals to the right program shape.
Yes, instructor-led live virtual delivery with breakout labs runs in your time zones.
Yes, onsite cohorts are available for intensive multi-day delivery with your own tooling.
33 instructor-led hours across eight modules, ending with a capstone legacy rescue.
Question not answered here?
Put it in the request. A training specialist answers it directly, within one business day.
Where this Training Fits in Your Team's learning path.
Clean code and software craftsmanship sit after your developers can solve problems efficiently. The course builds readable, testable code with AI-assisted review; SonarQube then measures quality, and system design applies the same habits at larger scale.
Why Choose Edstellar as Your Corporate Training Provider for Clean Code and Software Craftsmanship (with AI Code Review) Course
Edstellar delivers Clean Code & Software Craftsmanship as hands-on, instructor-led training for development teams. Labs mirror real coding work, the capstone produces a rescued module your organization can trust.
EXPERT TRAINERS
YEARS DELIVERING
ORGANIZATIONS TRAINED
CERTIFIED
Tailored
Labs and the capstone brief are built around your codebases and AI review tooling, so practice maps to the coding work your teams own.
Proven Methodology
A structured sequence from clean code basics to AI-assisted review, refined with working development teams.
Practice-Based Learning
Every module includes a guided lab where teams refactor code, practice TDD, and run AI reviews with coaching.
Expert Trainers
Engineers with production craftsmanship experience lead every session and review each capstone rescue.
Global Scale
Consistent delivery across regions and time zones for engineering organizations with distributed teams.
Measurable Outcomes
Defect density, review turnaround, and rework rates tracked from baseline to post-program measurement.
Also from Edstellar
Talent assessments
Psychometric, behavioral, leadership and 360-degree assessment.
→Training needs analysis
Needs analysis, gap identification, and a training roadmap.
→L&D consulting
Learning strategy, content, technology and ROI measurement.
→OD consulting
Org design, succession planning and cultural change.
→Managed training services
Training outsourcing, vendor management, logistics and administration.
→Coaching solutions
Executive and manager coaching that keeps skills in use.
Start an RFP shaped to your needs.
Answer three quick questions about team size, scope, and how often you need the program run, then send the request from the last step. Everything you choose travels with it, so you only fill this in once.
How many team members need training?
Clean Code & Software Craftsmanship (with AI Code Review) Training Packages & Pricing
Where L&D holds an annual budget, license packages price the whole year at once instead of raising a purchase order per workshop. Hours and licenses are pooled across teams, programs and locations, so unused capacity is not stranded in one department.
Starter
120
trainee licenses64 hours of group training
Tailored for SMBs
Growth
320
trainee licenses160 hours of group training
Ideal for growing SMBs
Enterprise
800
trainee licenses400 hours of group training
Designed for large corporations
Custom
Unlimited
trainee licensesDuration set by the rollout
Multi-region and multi-year
Training Packages & Pricing
Choose the training format that works for your team. Pricing is customized based on your requirements, cohort size, and delivery needs.
Request Clean Code and Software Craftsmanship (with AI Code Review) Training for Your Team
Tell us about your development teams and codebases. We will tailor the labs and capstone brief to your stack and review workflows.