USE CASE / PRODUCT DEVELOPMENT / SOFTWARE

AI agents for software engineering

Agentic AI accelerates development by using agents that generate, test, debug and deploy code, at lower cost.

FUNCTION: PRODUCT DEVELOPMENT; INDUSTRY: SOFTWARE, GAMING

Making software faster, cheaper and simpler with the help of AI agents

By offloading repetitive software dev tasks, engineers can focus on higher-value activities such as strategic design, innovation, and problem-solving.

    • SaaS business under pressure to develop features faster and reduce cost.

    • Recent history of unreliable product dev, delays, security issues and staff absenteeism.

    • 25 FTE engineers completing repetitive tasks such as writing boilerplate code, testing, debugging and managing deployments.

    • These activities are time-consuming and costly.

    • Use our Consulting approach to fully understand the problem, root causes, goals and relevant data.

    • Deeply understand the current state process, and human review and thought process, which includes the devops rules and decision points.

    • Confirm our hypothesis to solve problem with AI approach.

    • Rapid PoC to stakeholders. Use PoC feedback to iterate. Agile approach minimises risk, ensures tool evolves to meet the genuine user needs.

  • Product development

    Using expert agentic AI team to turn user feedback and business requirements into clear feature specs.

    Code gen and completion

    Using coding fine-tined LLM, based on Qwen coder and Roocode VS Code plugin auto-suggest and generate code.

    Automated testing

    Use coding fine-tuned LLM to generate unit tests, detect bugs, and flag performance or security issues.

    Using expert agentic AI team to perform code review and (PRs) review before human operator review.

    Coupling AI based testing with heuristic testing for SAST, DAST, cyclomatic complexity and code smell detection.

    All results piped into expert agentic AI team for documentation generation and weekly reports to engineering leaders.

    Continuous learning via RLHF-like process. 

    Successful PR changes and senior engineer reviews are used for continuous training.

    Doc gen

    Generate and update READMEs, API docs and comments directly from source code.

    Knowledge bots

    Allow engineers to query codebases and docs with RAG.

    DevOps support

    Predict pipeline failures, generate infrastructure scripts and automate incident response with AI-augmented CI/CD tools.

    • Faster cycle times by 55% by automating coding, testing and debugging.

    • 35% less code errors from better instructions and code dev.

    • Better product risk management.