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  • Article: Your Next DSL Author Is a Language Model Irakli Betchvaia
    In this article, the author introduces Typed Domain Grounding, an approach to reducing LLM hallucinations in domain-specific languages by embedding them in mainstream typed languages. Using kUML benchmarks and an infrastructure-as-code example, he explores how compiler validation and generate-compile-repair loops can make model-generated DSL output more reliable. By Irakli Betchvaia
     

Article: Your Next DSL Author Is a Language Model

16 September 2026 at 19:00

In this article, the author introduces Typed Domain Grounding, an approach to reducing LLM hallucinations in domain-specific languages by embedding them in mainstream typed languages. Using kUML benchmarks and an infrastructure-as-code example, he explores how compiler validation and generate-compile-repair loops can make model-generated DSL output more reliable.

By Irakli Betchvaia

Article: Implementing Durable Workflows on Postgres Without an External Orchestrator

14 September 2026 at 19:00

Postgres can serve as the durable state store and coordination layer for workflows, eliminating the need for an external orchestrator. SKIP LOCKED enables concurrent work processing, primary-key checkpoints enforce idempotency, and leases support crash recovery. Workflow sleeps and human approvals can also be persisted as database state and survive restarts.

By Raman Varma

Article: Implementing Chaos Engineering in Financial Payment Systems: Lessons from Enterprise ECS Deployments

8 September 2026 at 17:00

Standard chaos engineering assumes experiments stop cleanly, blast radius is knowable in advance, and production is fair game. Payment systems violate all three. Salim Adedeji describes ECS-specific failure modes from enterprise deployments: a 60-second DNS TTL that produced 93-second failover, retry logic amplifying database load 2.4x, and AZ rebalancing loops that generic tooling misses.

By Salim Adedeji

Article: Architecting Cloud-Native Kafka: From Tiered Storage Towards a Diskless Future

26 May 2026 at 17:00

This article explores Kafka's transition toward a cloud-native architecture, examining how tiered storage, FinOps telemetry, elastic consumer scaling, virtual clusters, and Share Groups reshape the operational and economic model of event streaming platforms. It also analyzes emerging diskless-storage proposals and their architectural trade-offs.

By Viquar Khan
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  • Article: The Schema Proliferation Problem in Kafka and Flink Pipelines: How to Solve It Spoorthi Basu
    Schema proliferation builds slowly and gets expensive fast. One schema per event type feels right until there are ten tables, union queries spanning all of them, and a single field rename touching every schema. Discriminator-based schema consolidation collapses that to two tables, turning multi-table unions into a single query, while new variants are additive and don't break existing consumers. By Spoorthi Basu
     

Article: The Schema Proliferation Problem in Kafka and Flink Pipelines: How to Solve It

25 May 2026 at 21:00

Schema proliferation builds slowly and gets expensive fast. One schema per event type feels right until there are ten tables, union queries spanning all of them, and a single field rename touching every schema. Discriminator-based schema consolidation collapses that to two tables, turning multi-table unions into a single query, while new variants are additive and don't break existing consumers.

By Spoorthi Basu

Article: Building Hierarchical Agentic RAG Systems: Multi-Modal Reasoning with Autonomous Error Recovery

9 April 2026 at 17:00

In this article, the author explores how hierarchical agentic RAG systems coordinate specialized workers through structured orchestration to improve accuracy, reliability, and explainability in complex enterprise analytics workflows. The article uses Protocol-H as a to show how deterministic routing, reflective retry, and modality-aware reasoning support safer multi-source query execution.

By Abhijit Ubale

Article: Bloom Filters: Theory, Engineering Trade‑offs, and Implementation in Go

7 April 2026 at 17:00

This article walks you through the Go implementation of Bloom filters to optimize the performance of a recommender. It cover the architectural view, Bloom filter mechanics, Go integration, parameter tuning, and practical lessons learned from making it work under production constraints.

By Gabor Koos
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  • Article: A Better Alternative to Reducing CI Regression Test Suite Sizes James Bornefelt Westfall
    How can you focus in a sea of results from a large regression test suite? This article describes a stochastic approach that relies on some degree of redundancy in your CI regression test set. This approach does not guarantee you will catch every bug every time, but it gives you your best bet of not missing the subtle signatures of all the bugs uncovered by your CI regression test suite runs. By James Bornefelt Westfall
     

Article: A Better Alternative to Reducing CI Regression Test Suite Sizes

6 April 2026 at 19:00

How can you focus in a sea of results from a large regression test suite? This article describes a stochastic approach that relies on some degree of redundancy in your CI regression test set. This approach does not guarantee you will catch every bug every time, but it gives you your best bet of not missing the subtle signatures of all the bugs uncovered by your CI regression test suite runs.

By James Bornefelt Westfall

Article: Replacing Database Sequences at Scale Without Breaking 100+ Services

3 April 2026 at 17:00

The article discusses the challenges faced during a migration from a relational database to NoSQL, focusing on the importance of database sequences for unique identifiers. It outlines the development of a new sequence service using DynamoDB and a two-tier caching architecture.

By Saumya Tyagi
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  • Article: Beyond RAG: Architecting Context-Aware AI Systems with Spring Boot Syed Danish Ali
    This article introduces Context-Augmented Generation (CAG) as an architectural refinement of RAG for enterprise systems. It shows how a Spring Boot-based context manager can incorporate user identity, session state, and policy constraints into AI workflows, improving traceability, consistency, and governance without altering existing retrievers or LLM infrastructure. By Syed Danish Ali
     

Article: Beyond RAG: Architecting Context-Aware AI Systems with Spring Boot

2 April 2026 at 17:00

This article introduces Context-Augmented Generation (CAG) as an architectural refinement of RAG for enterprise systems. It shows how a Spring Boot-based context manager can incorporate user identity, session state, and policy constraints into AI workflows, improving traceability, consistency, and governance without altering existing retrievers or LLM infrastructure.

By Syed Danish Ali
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