AI-Driven Workflow Automation: Saving 20 Hours Per Week
Automating repetitive tasks with GPT-4 and LangChain - from ticket triage to code reviews, saving 20 hours/week across the team
13 posts
Automating repetitive tasks with GPT-4 and LangChain - from ticket triage to code reviews, saving 20 hours/week across the team
Building domain-specific prompts for healthcare, finance, and legal - improved accuracy from 70% to 95% with specialized prompting techniques
Using GPT-4 for security audits - found 34 vulnerabilities including SQL injection, XSS, and auth bypass in production code
Systematic prompt optimization - reduced token usage by 60%, improved output quality by 40%, and cut API costs from $2000 to $800/month
Using GPT-4 to optimize slow SQL queries - reduced query time from 45s to 4s, identified missing indexes, and improved database schema
Master advanced prompting techniques - Chain of Thought, Tree of Thoughts, ReAct, and more. Improved output quality by 3x with these patterns
Using AI to design RESTful APIs - improved consistency, better naming, comprehensive documentation, and reduced design time by 60%
Using GPT-4 to migrate 100K lines from Python 2 to Python 3 - automated conversion, testing, and validation saved 6 months of manual work
Using GPT-4 and static analysis to detect bugs - found 47 critical issues in legacy codebase, preventing production incidents
Testing Claude 3 Opus against GPT-4 in real-world scenarios - code generation, reasoning, cost, and performance benchmarks from 30 days of production use
Automating technical documentation with GPT-4 - API docs, README files, and user guides generated from code, reducing documentation time from days to hours
Complete guide to prompt engineering - techniques, patterns, and real-world examples that improved AI output quality by 300%
Using GPT-4 to generate comprehensive test suites - automated test creation, edge case discovery, and test quality improvement