The Problem with Traditional Coding Workflows
Development teams often struggle with:
- • Manual, repetitive coding tasks
- • Slow code review and release processes
- • Inconsistent code quality and documentation
- • Limited adoption of AI tools due to lack of structured training
This leads to slower shipping cycles, higher error rates, and reduced ability to scale.
Value Delivered
- • 20–40% faster shipping cycles thanks to AI-enhanced coding practices
- • Improved code quality and structure, supported by automated checks and AI-assisted documentation
- • Hands-on adoption of modern AI tools (Cursor, Claude AI, GitHub Copilot) in real-world projects
- • Practical onboarding in small teams (4–5 people), ensuring transferability across future projects
How It Works: Three Steps
1. Preparation Phase
- • Select one real project from the client's backlog
- • Identify pain points and improvement opportunities
2. Interactive Workshop
Live demonstrations of LogiQin use cases:
- • GitHub automatic release notes
- • Code structuring and refactoring
- • System prompting for better coding
Team exercises on 3–4 selected pain points (new code or optimization of existing code)
3. Consolidation
- • Review improvements
- • Transfer best practices to future projects
- • Provide benchmarks and KPI improvements (adapted to client context)
Companion AI Use Cases
AI-Assisted Release & Change Notes
Automatically generate release notes, change logs, or commit summaries from PRs / commit history / diff context.
Smart Refactoring & Code Restructuring
Identify code smells, suggest better module structure, extract functions, consistent naming, modularization.
Prompt-Driven Code Generation & Spec → Implementation
From requirements / user stories → AI generates scaffolding / function stubs / baseline implementation.
Automated Testing & Regression Test Generation
Auto-generate test cases from function signatures, acceptance criteria, or existing code; detect edge cases.
AI-Powered Security Check
Scan code for vulnerabilities, secrets, and insecure dependencies; suggest secure fixes instantly.
"AI-Boosted Coder is not just training—it's an accelerator for your development team. We help your coders adopt the AI toolchain in practice, ensuring faster delivery without losing quality or control."
"From experiment to deployment—build code that ships faster, safer, smarter."
