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#AI Pair Programming

Magento 2 & Hyvä articles tagged “AI Pair Programming”: hands-on tutorials, fixes, and guides from Kishan Savaliya, an Adobe-certified Magento developer.

6 articles
AI for Magento Claude The Mage-OS AI Community Discussion: 2026 Takeaways

The Mage-OS AI Community Discussion: 2026 Takeaways

The May 2026 Mage-OS community discussion on AI in Magento did not end with a roadmap. It ended with three camps, AI in core as a first-party Magento_AiAssist module, AI as a pluggable extension layer where Panth_AiAssist and others compete, and AI as a developer-only tool that never touches the customer runtime. Each camp is internally coherent and incompatible with the other two. This editorial walks the arguments, names the trade-offs (governance versus innovation speed, OpenAI dependency versus self-hosted Llama 3 and Mistral), explains what Adobe Sensei means for the Open Source side of the split, and ends with three concrete steps Open Source merchants on Magento 2.4.4-2.4.9 can take this week regardless of which camp wins.

Kishan Savaliya 12 min read
AI for Magento Claude RAG Over Magento Documentation: Building an Internal Dev Assistant

RAG Over Magento Documentation: Building an Internal Dev Assistant

Magento developers waste hours re-grepping the same documentation, Adobe DevDocs, Hyvä, Mage-OS, internal CLAUDE.md notes, every time a new team member ramps up or a familiar one forgets which DI argument was renamed in 2.4.7. A real retrieval-augmented generation pipeline collapses that into a single REST endpoint that takes a question and returns a cited, paragraph-length answer in under a second. This article walks through the working pipeline shipped on kishansavaliya.com: crawler, chunker, embeddings, pgvector store, Magento controller, and the ragas evaluation harness that keeps it honest.

Kishan Savaliya 13 min read
AI for Magento Hyvä Claude Code for Magento Agencies: The Workflow That 3x'd My Ship Rate

Claude Code for Magento Agencies: The Workflow That 3x'd My Ship Rate

Most Claude Code write-ups stop at the marketing page. This is the internal workflow we built at Panth Infotech for solo and small-team Magento agencies, the per-project CLAUDE.md shape, three sub-agent recipes (build-module, write-mftf, hyva-compat), the MCP server stack (DataForSEO + Anthropic + a custom Magento MCP), the security boundary that keeps customer PII out of context, and the before/after numbers that took our module scaffold from 90 minutes to 10. Pulled from Magento 2.4.4-2.4.9 + Hyvä production work shipped through kishansavaliya.com.

Kishan Savaliya 13 min read
AI for Magento GPT-4 OpenAI API + Magento Integration: A Complete Working Extension

OpenAI API + Magento Integration: A Complete Working Extension

Most OpenAI + Magento tutorials stop at a curl example. This one ships a full module, Panth_AiAssist, with an admin grid for prompt templates, a backend client that retries on 429/5xx with exponential backoff, a per-call cost log so you can audit monthly spend per template, model fallback from gpt-4 to gpt-3.5-turbo when a soft budget is exceeded, and a CLI batch runner. Compatible with both OpenAI and Anthropic via a single LlmProviderInterface. API keys live in app/etc/env.php encrypted via Magento's EncryptorInterface: never in CLAUDE.md, never in git.

Kishan Savaliya 14 min read
AI for Magento Claude AI-Generated Product Descriptions in Magento: The Bulk Workflow That Doesn't Get Penalized

AI-Generated Product Descriptions in Magento: The Bulk Workflow That Doesn't Get Penalized

I rewrote 4,200 product descriptions on a live Magento 2.4.9 + Hyvä store in 6 hours of compute and 30 minutes of human review, $12.60 in Anthropic API spend, zero Google penalties three months on. This is the actual CLI command, the brand-voice prompt template, the duplicate-content guard that compares each new description against every prior one in the same category, and the cost math against rule-based template generators. Built for stores with 1,000-50,000 SKUs where hand-written descriptions are economically impossible and template engines produce thin, doorway-flavored content.

Kishan Savaliya 12 min read