You will get DevGPT Assistant — Automate Sprint Health & Developer Workflows using AI
Project details
Supercharge your developer workflow with DevGPT, a powerful AI assistant built using ChatGPT and LangChain. Whether you’re a solo dev or managing a team, DevGPT automates:
• Code reviews with AI feedback
• Documentation generation from your codebase
• Tracking and suggesting fixes for tech debt
✅ Easy integration with GitHub/GitLab
✅ Dockerized & deployable on any server
✅ Extendable via custom AI plugins
🔧 Deliverables
• Setup & deployment scripts (Docker/Cloud)
• Custom AI prompts (code review, docs, refactor)
• GitHub Action integration (if required)
• Quickstart docs & admin UI
• Code reviews with AI feedback
• Documentation generation from your codebase
• Tracking and suggesting fixes for tech debt
✅ Easy integration with GitHub/GitLab
✅ Dockerized & deployable on any server
✅ Extendable via custom AI plugins
🔧 Deliverables
• Setup & deployment scripts (Docker/Cloud)
• Custom AI prompts (code review, docs, refactor)
• GitHub Action integration (if required)
• Quickstart docs & admin UI
AI Algorithms
Large Language Model, Multimodal Large Language ModelAI Applications
AIOpsAI Development Language
PythonAI Tools
Azure OpenAI, Hugging Face, PyTorch, StreamlitAI Models
ChatGPT, LLaMAWhat's included
| Service Tiers |
Starter
$95
|
Standard
$150
|
Advanced
$275
|
|---|---|---|---|
| Delivery Time | 10 days | 21 days | 60 days |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | - | - | - |
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | - |
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | - | - | - |
Source Code | - | - | - |
Frequently asked questions
About Surendran
Fullstack | AI-Driven | DevOps |Cloud | LLM Leader| 102K+ Hours Saved
Chennai, India - 10:25 am local time
of experience delivering automation, AI integration, and CI/CD
innovation across 360+ global projects.
In 2024, Spearheaded Evolvere, an automation engine that saved
over 102,707 engineering hours, reducing build redundancies by
35%. Architected LLM-driven pipelines using tools like PyTorch,
FastAPI, and Triton, hosted on Kubernetes and integrated with Gerrit
for intelligent code review and release acceleration.
Expertise spans hybrid cloud DevSecOps, infrastructure as code,
and scaling AI/ML observability workflows that push the boundaries
of developer productivity.
If you're building platforms at the intersection of DevOps x AI x
Scale, let's connect.
Steps for completing your project
After purchasing the project, send requirements so Surendran can start the project.
Delivery time starts when Surendran receives requirements from you.
Surendran works on your project following the steps below.
Revisions may occur after the delivery date.
Requirement Gathering
• Review client inputs and clarify scope • Understand tech stack, cloud provider, and use case
Environment Setup