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/articles/platform-engineering-playbook-production-llms/en/smallimage/thumbnail-1790763235683.jpg)
The Platform Engineering Playbook for Production LLMs
In this article, author discusses his experience with AI agent hallucinations in an inventory recommendation system and how this problem was solved by treating the LLM stack as a platform infrastructure concern instead of as an application one. He makes a case for a shared LLM platform with common services like prompt registry & versioning, schema enforcement and token cost attribution by request.
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/articles/regeneratable-ui-component-library/en/smallimage/regeneratable-ui-component-library-thumbnail-1790758478325.jpg)
From Reusable to Regeneratable: Rethinking the Shared UI Component Library
Regeneration has changed reuse economics. A model pointed at a solid design system can produce most standard UI on demand, so paying to keep a canonical component package alive is much harder to justify than it used to be. Keep the design system, tokens, guidelines and tests central. They are what actually buy you consistency.
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/articles/ai-agents-improve-software-architecture/en/smallimage/ai-agents-improve-software-architecture-thumbnail-1790153650841.jpg)
Five Ways to Use AI Coding Agents to Improve Your Software Architecture
Modern architectures often use legacy services for specific tasks, but these services may lack accurate documentation and using them can be risky if you don't understand them well. AI coding agents can help close that knowledge gap.
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/articles/architecture-enterprise-personalization-relevance-governance/en/smallimage/Beyond-Relevance-A-Governance-First-Architecture-for-Enterprise-Personalization-thumb-1789730126317.jpg)
Beyond Relevance: a Governance-First Architecture for Enterprise Personalization
This article examines the limitations of conventional personalization systems and highlights the need for a governance-first architecture. It emphasizes separating relevance from governance to ensure recommendations are context-aware, auditable, and compliant. The architecture integrates stateful memory, policy-driven AI orchestration, and explainable scoring to enhance personalization systems.
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Your Next DSL Author is a Language Model
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.
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/articles/when-spec-driven-development-pays-off/en/smallimage/When-Spec-Driven-Development-Pays-Off-thumb-1788790605567.jpg)
When Spec-Driven Development Pays off
AI coding assistants have become a core part of software development. AI-generated code has shown productivity gains, but it's also contributing to security weaknesses and familiar bug patterns. In this article, author Nitin Garg highlights the bottleneck has moved from code generation to code verification, and how to detect & mitigate it when the AI-generated behavior diverges from the intent.
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/articles/chaos-engineering-ecs-payments/en/smallimage/chaos-engineering-ecs-payments-thumbnail-1788254676411.jpg)
Implementing Chaos Engineering in Financial Payment Systems: Lessons from Enterprise ECS Deployments
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.
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/articles/pqc-in-spring-boot/en/smallimage/pqc-in-spring-boot-thumbnail-1787646727709.jpg)
Post-Quantum Cryptography in Spring Boot: Four Patterns You Can Ship This Sprint
There are four patterns that bring PQC into a Spring Boot fleet: encrypting payloads between services, locking down database fields, signing documents that need to hold up for decades, and moving service tokens off RS256. Along the way, we discuss why Harvest Now, Decrypt Later is already happening, and why none of this is production-safe until KMS or Vault is in place.
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/articles/rightsizing-platform-engineering/en/smallimage/rightsizing-platform-engineering-thumbnail-1787296955801.jpg)
Rightsizing Platform Engineering: Building the Platform Your Organization Actually Needs
Shift-left and DevOps have impacted how we flow changes from inception to production, but at the cost of increased cognitive load and duplication of effort across testing, security, and maintenance. This article explores the real-world challenges of rightsizing developer platforms and finding a cultural match for engineering teams who use them to reduce cognitive load and deliver change faster.
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/articles/agentic-fitness-functions-evolutionary-architecture/en/smallimage/thumbnail-1786428822427.jpg)
Agentic Fitness Functions: Extending Evolutionary Architecture Beyond Deterministic Rules
Deterministic rules safeguard hard metrics, but what about architectural intent? Discover how agentic fitness functions combine AI agents and versioned rubrics to evaluate complex, judgment-heavy concerns—such as boundary fidelity, semantic contract drift, and stale ADR assumptions. Elevate evolutionary architecture governance with continuous, calibrated feedback loops.
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Comprehension as an Architectural Characteristic: A System That Is Not Understood Cannot Evolve Safely
As AI commoditizes code output, system comprehension silently decays, creating cognitive debt that threatens safe architectural evolution. This article explores why human understanding must be treated as an essential architectural characteristic, offering actionable strategies, socio-technical metrics, and design checkpoints to preserve intent across modern engineering teams.
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/articles/culture-trends-2026/en/smallimage/infoq-trends-report-small-logo-1784644382346.jpeg)
InfoQ Culture and Methods Trends Report - 2026
This report summarizes how the InfoQ Culture and Methods editorial team sees the ongoing and emergent trends in the culture and methods space in 2026.