The Kryotta blog
Guides and comparisons on working with every AI model — Claude, Gemini, Llama, Mistral, DeepSeek and more — plus what we're building.
I used 3 AI models to review 45 pull requests: which one for bugs, style and tests
I split code review across three AI models—Claude for logic bugs, Gemini for style, DeepSeek for tests—and reviewed 45 PRs to see which one actually catches what matters.
I used 3 AI models to review 60 pull requests: checklist for which model per task
I tested Claude, Gemini, and DeepSeek on 60 real pull requests. Each model excelled at different tasks—here's the checklist for which one to use when.
I used 3 AI models to debug a Stripe webhook timeout: which reasoning model found it
A Black Friday payment crisis: orders processed but never delivered. Three AI models tackled the same logs. Only one found the Nginx timeout mismatch killing Shopify API calls.
I used 3 AI models to review 25 TypeScript pull requests: which one caught the VAT rounding bug
I tested Claude, DeepSeek, and Gemini on 25 TypeScript pull requests. DeepSeek caught a VAT rounding bug that would have cost a client thousands—here's how each model performed.
I used 3 AI models to review 40 pull requests: which one caught the logic bugs
I tested Claude, Gemini, and DeepSeek on 40 real pull requests from a Shopify app. Claude caught 9 logic bugs—including a critical multi-tenant security flaw. Here's how they compared.
5 myths about Auto routing that waste your AI budget (and what actually happens)
Auto routing doesn't just pick the cheapest model—it matches complexity to capability. Here's what actually happens, and why it saves money while improving output.
I used 3 AI models to debug a M-Pesa webhook: which one found the timeout error
I fed the same broken M-Pesa webhook code to Claude, Gemini, and DeepSeek. One spotted the 30-second timeout bug immediately. Here's what each model found—and missed.
The developer checklist for code review with AI: which model per task and why
A freelance developer shares how routing different code review tasks to specialized AI models—instead of using ChatGPT for everything—caught bugs that would've cost clients money. Here's the checklist that works.
I used 3 AI models to debug a Paystack webhook: which one found the actual error
I ran the same broken Paystack webhook code through Claude, Gemini, and DeepSeek to see which AI model spotted the missing signature verification fastest—and what that tells us about debugging with AI.
I used Claude and Gemini to debug 30 Shopify checkout errors: which reasoning model actually found the root cause
I debugged 30 Shopify checkout errors using Claude and Gemini to see which reasoning model actually found the root cause. Here's what each one caught—and missed.
I used AI code review on 50 pull requests: which model caught the actual bugs
I tested Claude, Gemini, DeepSeek, and GPT-OSS on fifty real pull requests from Nairobi startups. Here's which models actually caught production-breaking bugs versus just complaining about formatting.
Six questions developers actually ask about using different AI models for each task
Claude Sonnet catches bugs in code review. Gemini Flash scaffolds features faster. Using the same model for both wastes time and money—here's what actually works.