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Category: E-commerce Development

AI, Development, E-commerce Development

Why 90% Text-to-SQL Accuracy is 100% Useless in Production

Why 90% Text-to-SQL accuracy is enterprise suicide. Ahmad Wael explains why partial credit doesn’t exist in production databases, the shift from Spider 1.0 to the rigorous Spider 2.0 benchmark, and how native AI integrations in BigQuery are changing the game for senior WordPress and data developers.

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AI, Development, E-commerce Development

Retrieval-Augmented Generation: Why It’s Time for a Refactor

Retrieval-Augmented Generation is moving from hype to production reality, but many implementations are plagued by poor chunking strategies and scaling issues. Ahmad Wael explains why chunk size is an experimental variable, the hidden pitfalls of HNSW in vector databases, and how to optimize RAG performance within the WordPress ecosystem using caching.

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Development, E-commerce Development

Why Modern Data Stack Consolidation Matters for WordPress

Ahmad Wael explores the decline of the Modern Data Stack and why giants like Databricks and Snowflake are hitting a market ceiling. Learn how the ‘Great Data Closure’ affects WordPress developers and why shifting toward lean, local data architecture is the best move for your WooCommerce store’s performance.

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Core Updates, Development, E-commerce Development

WooCommerce Platform Updates: Join the Zagreb Developer Meetup

WooCommerce is shifting toward a block-first future, and the Developer Advocacy team is heading to Zagreb to discuss the 2026 roadmap. From the Interactivity API to AI-driven features and checkout extensibility, these WooCommerce Platform Updates are changing how we build stores. Stop relying on legacy hooks and embrace the modern stack.

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Development, E-commerce Development

Join the January WooCommerce Developer Office Hours: Open Forum

Join the January WooCommerce Developer Office Hours on Slack this Jan 21, 2026. This open forum is a rare chance for developers to skip the marketing fluff and discuss holiday sales wins, technical bugs, and 2026 roadmap ideas with the community. Perfect for troubleshooting complex WooCommerce hooks and post-holiday technical debt.

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Bug Fixing, Development, E-commerce Development

Robust Historical Data Analysis: Scaling Beyond Basic MySQL Queries

Stop crashing your WordPress server by running massive historical queries through basic SQL. Senior dev Ahmad Wael explains why Historical Data Analysis requires an OLAP architecture and MDX queries to handle millions of rows efficiently, using a 500-million-row climate study as a blueprint for enterprise-level performance.

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Bug Fixing, Core Updates, Development, E-commerce Development

Fixing WooCommerce REST API Special Characters in Version 10.5

Explaining the critical fixes for special characters in the WooCommerce 10.5 REST API. If you have struggled with non-ASCII attribute names (Persian, Arabic, Chinese) failing to save or map correctly, this update is for you. Learn how to audit your existing workarounds and ensure your product variation syncs are stable.

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AI, Development, E-commerce Development

Solving Production ML Failures: Why Your Training Metrics Lie

Production ML failures often stem from hidden data leaks and time travel traps rather than poor modeling. Senior developer Ahmad Wael explains why perfect training metrics lie and how to debug data leakage, feature defaults, and silent population shifts to build robust, production-ready machine learning systems that survive the real world.

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Core Updates, E-commerce Development

WooCommerce Product Permalinks: Handling the 10.5 Update

WooCommerce 10.5 introduces a major change to product permalink logic. Instead of sorting by term ID, the system now automatically selects the deepest category in the hierarchy for the URL. This update improves SEO clarity but may shift existing URLs. Learn how it works, how it affects your store, and how to revert it if necessary.

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AI, Development, E-commerce Development

Why Supply Chain Data Science is the Top Choice for 2026

Supply Chain Data Science is set to be the most valuable domain for data scientists in 2026. Beyond the hype of LLMs, the physical world needs visibility and optimization. Learn how to bridge the gap between Python-based mathematical modeling and operational reality using tools like PuLP, Streamlit, and Lean Six Sigma.

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