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Read noteTechnical Blog
The thinking behind the engineering.
Algorithms, data models and maintainable architecture. Explore how software works and the decisions behind its design.
TANKDEV / ENGINEERING JOURNAL12 / PUBLISHED ARTICLES
Engineering articles
Explore the systems, decisions and approaches behind the work.
Vector Database Memory Sizing and Cost Math: How Much RAM Do 1 Million Vectors Need?
Memory math for one million float32, HNSW, SQ8, and PQ vectors; pgvector, Qdrant, and Milvus architectures; production RAM, latency, and cost planning.
Read noteEnding LLM bloat: How to integrate Jev and System One decision models into production architecture
Not every workflow needs generated text. A practical guide to turning Jev Choice, Score, and Noul decisions into a production layer with thresholds, auditability, and human review.
Read noteRAG vs. Fine-Tuning: How to Choose the Right Technique for Enterprise LLM Systems
Choose between RAG and fine-tuning through knowledge freshness, behaviour, access control, cost, evaluation, and production architecture with concrete examples.
Read noteAI Automation Reliability: How Reliable Is a Multi-Step LLM Workflow?
End-to-end reliability for multi-step LLM automation: TAARM v1.0 on success contracts, serial products, retries, Monte Carlo, and an open validation package.
Read noteHow to Modernize Legacy Software: A Migration Plan That Protects Data and Operations
Modernize legacy software while protecting data and operations: Strangler Fig, CDC, reconciliation, write ownership, and recovery through a warehouse scenario.
Read noteHow to Design API and System Integration: A Reliable Order-to-Accounting Flow
Reliable integration across a B2B portal, ERP, WMS, and accounting: API contracts, data ownership, idempotency, outbox, retries, security, observability, and reconciliation.
Read noteHow Does a Business Process Become Software? A System's Journey from Analysis to Production
From a fragmented service request to a working system: process analysis, data models, business rules, APIs, integration, automation, and AI where it adds value.
Read noteHow Do You Design a Modern Enterprise Software Architecture?
Design a production system with APIs, PostgreSQL, permissions, jobs, backups, and scaling. Explore practical C++/Python and library trade-offs.
Read noteWhat Is AI Automation? Building Autonomous Systems with LLMs, APIs, and Workflows
A practical architecture connecting LLM output to real work: structured data, APIs, databases, queues, validation, retries, human review, monitoring, and costs.
Read noteHow to Develop a Custom AI Model: From Data to Production
Follow a delivery-delay example from data preparation and model selection to training, testing, explainability, APIs, integration, and monitoring.
Read noteFrom Excel to Business Software: When Should a Workflow Become a Custom Application?
When does work managed in Excel, email, and WhatsApp need custom software? A practical guide to shared data, permissions, workflow, audit logs, reporting, and APIs.
Read noteTANKDEV / ENGINEERING
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