Tech Blogs Digest 01.12 - 07.12
This week we AI-analysed 9448 posts for you, filtered out the chaff and hand-picked the wheat.
This week
💻 AI-assisted coding - state of AI-assisted development review; turning Claude Code into a multitask agent swarm
🏗️ Architecture - distributing big AI models in mobile apps; resilient backend architecture with chaos-testing; migrating a data-intensive app between cloud providers
🤖 LLMs in production - replacing RAG with GraphRAG; digesting dense technical specs with LLMs; safer MCP integration and much more
📊 Data - guide on keeping lakehouse tables healthy; real-time ingestion with Flink, Airflow, and StarRocks; stable Elasticsearch query patterns for production
⚙️ DevOps - automating infrastructure security reviews; drastically cutting CI/CD pipeline time
🧮 Data science - building text-conditional diffusion models; solving complex NYT Strands puzzles; visualizing corporate networks without hairball graphs; building semantic search for khmer language
🛡️ Security - AI pentest agents pros and cons
🟨 JavaScript - smart scheduling to avoid UI jank in JS; rethink Angular pipes with new reactivity system
💻 AI-ASSISTED CODING
The Good, The Bad, and The Ugly of AI-Assisted Software Development: What Engineering Leaders Need to Know About 2025 | 20 min read
When AI tools boosted dev team productivity by 10× and turned prompt-based coding into default workflow, many teams got faster, but now some end up with brittle, hard-to-maintain systems and “senior” engineers who can’t debug without AI
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