Blog

Posts on AI workflow engineering: software that executes work, with deterministic logic, AI agents and human-in-the-loop in one system. Plus agentic coding and app and web development with React and React Native.

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Agentic Coding19 May 2026
Architecting Terminal-Native AI Coding Agents for Production Stability
Terminal-native coding agents require compound architectures to manage context and reasoning. Learn how to implement specialized model routing and adaptive memory systems.
Agentic Coding27 May 2026
The Agentic Coding Workflow: How Top Developers Work in 2026
Moving from one-shot prompts to structured agentic workflows is the primary driver of engineering efficiency. Success requires spec-first planning and rigorous context management.
Agentic Coding08 July 2026
Managing Agentic Technical Debt Through Structured Observability
AI agents introduce non-deterministic behavior that standard logging cannot capture. Learn how to manage this complexity by instrumenting decision-making layers and automating evaluation.
Agentic Coding05 October 2026
AI Pull Requests and the Review Bottleneck: Data from 8.1M Merges
Analyzing 8.1 million pull requests reveals how AI coding tools increase output volume while dragging down merge rates. Engineering teams must address review bottlenecks.
Agentic Coding04 July 2026
Architecting State-Machine HITL Workflows for Autonomous AI Coding Agents
Avoid synchronous API bottlenecks when implementing human-in-the-loop approvals for AI agents. Use state-machine patterns to manage long-running execution states securely.
Agentic Coding14 June 2026
The Production Gap: Why Agentic AI Benchmarks Fail in Real-World Workflows
Leaderboard scores often mask a 37% performance drop when agents move from lab environments to production. Learn why current benchmarks overfit and how to build reliable evaluation.
Agentic Coding21 June 2026
Inference Scaling Bottlenecks in Reasoning-Heavy AI Workloads
Reasoning-heavy AI workloads shift infrastructure requirements from compute-bound prefill to memory-bound generation. Architects must optimize parallelism strategies to avoid performance cliffs.
Agentic Coding12 June 2026
Automated Quality Gates for Agentic AI Pipelines
Agentic workflows prioritize throughput, but speed without validation risks platform-level failures. Implementing evidence-based quality gates ensures reliability.
Agentic Coding13 July 2026
Implementing LLM Evaluation Quality Gates in CI/CD Pipelines
How to integrate LLM evaluation into CI/CD pipelines by managing non-determinism and setting meaningful thresholds for quality gates.
Agentic Coding22 June 2026
Implementing Quality Gates for AI Coding Agents in Production
Moving AI coding agents from experimentation to production requires strict isolation, context management, and incremental review cycles. Learn how to build a three-layer quality gate.
Agentic Coding25 July 2026
Implementing AI Code Review as a Required CI/CD Merge Gate
Move beyond simple bot comments by integrating AI code review directly into your CI/CD pipeline as a mandatory merge gate with cost-conscious execution.
Agentic Coding27 May 2026
Architecting AI Coding Agents for Production Reliability
Moving AI coding agents from prototype to production requires shifting from research-based experimentation to rigorous software delivery practices. State management, guardrails, and observability to handle real-world input variability.

AI Agent Development14 May 2026
Testing Agentic Systems: Managing Non-Determinism in Tool-Calling Workflows
Moving from static LLM prompts to stateful agentic loops introduces non-determinism. Learn how to build reliable testing frameworks for tool-calling architectures.
AI Agent Development19 May 2026
Multi-agent orchestration patterns: a 2026 production guide
Moving beyond simple agent demos requires choosing the right orchestration pattern. Understand the production trade-offs of supervisor, swarm, and hierarchical architectures.
AI Agent Development28 June 2026
Keeping AI Agents In Line With Clean Architecture
AI coding agents often prioritize task completion over maintainability. Implementing Clean Architecture provides the structural guardrails necessary to prevent technical debt.
AI Agent Development26 May 2026
Moving Beyond Chat: Architecting Task-Oriented AI Agent Systems
Shift from conversational chatbots to task-oriented agent systems by prioritizing tool calling and multi-agent orchestration. Learn how to implement task closure in your production architecture.
AI Agent Development14 May 2026
Multi-Agent Orchestration: Architectural Patterns for Complex Workflows
Move beyond monolithic AI prompts by implementing multi-agent orchestration. Learn how to choose between supervisor, pipeline, swarm, and hierarchical patterns.
AI Agent Development27 May 2026
AI Agent Security Starts With Permissions, Not Prompts
Secure AI agents by decoupling tool access from model prompts. Implement granular permission scopes and risk-tiered tool architectures to prevent unauthorized data exposure.
AI Agent Development22 July 2026
Multi-Agent Orchestration: Choosing Between Supervisor and Peer-to-Peer Architectures
Selecting the right orchestration pattern is critical for scaling AI agent systems. Learn the trade-offs between centralized supervisor models and decentralized peer-to-peer architectures.
AI Agent Development14 May 2026
Building Durable AI Agents with Google ADK: Moving Beyond Stateless Chatbots
How to implement persistent state management in AI agents using Google ADK. This approach enables long-running workflows that survive idle time and context loss.
AI Agent Development19 May 2026
Reducing Agentic Latency with Programmatic Tool Calling
Programmatic tool calling replaces sequential LLM round-trips with sandboxed code execution. This pattern reduces latency and token costs for complex agentic workflows.
AI Agent Development25 June 2026
Deterministic Tool Calling: Guardrails for Autonomous AI Agents in Production
Secure your agentic workflows by implementing runtime schema validation, execution sandboxing, and strict cost controls. Prevent runaway loops and unauthorized system access.
AI Agent Development22 June 2026
Architecting Multi-Agent Systems for Enterprise Reliability
Move beyond monolithic AI models by adopting multi-agent orchestration. Learn how to structure agent roles, communication protocols, and governance for production.
AI Agent Development09 June 2026
Why Traditional Authorization Models Fail for Agentic AI
Traditional Role-Based Access Control assumes predictable user behavior. AI agents break this model through non-determinism and autonomous tool execution.

AI Workflow Engineering05 November 2026
Architecting with Deterministic and Probabilistic Components: Separating LLM Ideation from Infrastructure Compliance
Why treating large language models as deterministic decision makers fails in production. Implement a two-zone framework that separates probabilistic ideation from strict infrastructure and budget guardrails.

App Development02 July 2026
Expo SDK 57 and the Shift Toward Long-Term Stability
Expo SDK 57 introduces a refined release cadence aimed at reducing upgrade friction. Learn how this shift impacts your long-term mobile architecture and dependency management.
App Development01 August 2026
React Native in 2026: New Architecture Defaults and Cross-Platform Performance Trade-Offs
Cross-platform app development in 2026 centers on React Native 0.78 and Expo SDK 52+, where the New Architecture is default and bridge serialization overhead is eliminated.
App Development04 October 2026
Cross-Platform App Development Architecture: Framework Trade-Offs and Codebase Divergence
Evaluate the architectural trade-offs of cross-platform app development frameworks. Learn how shared codebases handle native platform divergence.
App Development03 June 2026
React Native New Architecture: Synchronous Performance for AI Workloads
The 2026 React Native New Architecture eliminates the legacy bridge, enabling synchronous native module communication essential for high-performance AI inference.
App Development17 August 2026
Expo SDK 57 Upgrade Guide: React Native 0.86 and Mandatory New Architecture Trade-offs
Expo SDK 57 bumps React Native to version 0.86 with zero breaking changes while keeping the New Architecture strictly mandatory. Engineering teams must evaluate how upcoming fast-path release cadences affect dependency stability.
App Development18 July 2026
React Native Architecture: Performance Benchmarks in 2026
The legacy bridge is gone. New performance data shows how React Native's architectural overhaul impacts production app speed and frame stability.
App Development14 May 2026
Offline-First Mobile App Architecture: Trade-offs and Implementation
Offline-first architecture ensures mobile app usability in poor network conditions. Learn how to balance sync complexity, local storage, and data consistency.
App Development03 June 2026
React Native New Architecture 2026: JSI & Production Guide
The React Native New Architecture is now the default standard. Learn how JSI, Fabric, and TurboModules eliminate bridge bottlenecks to improve mobile app performance.
App Development19 May 2026
The Architectural Convenience Trap of AI-Generated Systems
AI makes complex architectural patterns easy to generate but hard to maintain. Learn how to prioritize team constraints over pattern complexity.
App Development07 July 2026
React Native Architecture 2026: Moving Beyond the Bridge
The 2026 React Native architecture replaces the legacy Bridge with JSI, Fabric, and TurboModules. This shift fundamentally changes how JavaScript interacts with native code.
App Development27 May 2026
Monitoring Production Performance in Expo Apps with EAS Observe
Shift performance monitoring from development environments to production with EAS Observe. Learn how to track startup metrics and user experience on real devices.
App Development24 June 2026
React Native 0.85 and the New Architecture: A 2026 Engineering Reset
The 2026 React Native ecosystem has moved past the experimental phase of its New Architecture. With the release of React Native 0.85, the framework has finally deprecated the legacy Bridge in favor of a stable, native-first module API.

Web Development25 June 2026
State Management Patterns for Reliable AI Agent Workflows
How to move beyond stateless LLM interactions by implementing persistent state management for complex, multi-step AI agent systems. This guide covers architectural patterns to ensure reliability at scale.
Web Development14 July 2026
State Management in AI Agents: Lessons from 1000+ Tasks
Production AI agents often fail due to fragmented state. Learn how to architect memory and synchronization patterns that scale beyond simple demos.
Web Development21 July 2026
Architecting Agentic Design Systems for AI-Ready Component Libraries
Transitioning from human-centric to machine-readable design systems requires encoding intent and constraints into your component architecture. Learn how to build self-healing loops with AI-ready foundations.
Web Development10 July 2026
Architecting React Applications for AI Integration
Avoid common pitfalls when integrating AI into React by implementing a proxy layer. Learn how to manage streaming, cost tracking, and security effectively.
Web Development07 June 2026
Enterprise AI Agent Platforms: Architecture Patterns for 2026
Moving beyond single-agent loops requires structural decomposition. Learn how to implement orchestrator-worker patterns and audit planes for production-grade AI systems.
Web Development06 June 2026
React Native's New Architecture in 2026: What the Fabric and JSI Migration Actually Took
What moving from the legacy bridge to JSI, Fabric and TurboModules changes for architects: synchronous native calls, rendering and a migration plan.
Web Development05 June 2026
AI Agent Orchestration: Moving Beyond Sequential Workflows
Orchestrating multiple AI agents requires moving from simple sequential chains to patterns that handle state and error recovery. Learn how to structure production-grade multi-agent systems.
Web Development13 June 2026
A2UI v0.9: Standardizing Generative UI for AI Agent Workflows
A2UI v0.9 introduces a framework-agnostic standard for generative UI, enabling AI agents to drive existing component catalogs across web and mobile platforms. This release simplifies streaming and integration for production-grade agent systems.
Web Development26 May 2026
Grafana Faro: Solving the Frontend Observability Signal-to-Noise Problem
Traditional frontend monitoring often drowns in noise. Grafana Faro offers an OpenTelemetry-native approach to gain fine-grained control over your production telemetry.
Web Development16 August 2026
React Native Web Architecture: Write Once, Run Everywhere Trade-Offs on Expo SDK 54
Ship a single React Native codebase to iOS, Android, and the browser using Expo SDK 54 and Metro. Analyze the architectural seams and styling trade-offs.
Web Development23 June 2026
Governing Agentic AI: Moving Beyond Code Generation to Production Reliability
Scaling agentic AI requires shifting focus from code generation to infrastructure governance. Treat system prompts and memory states as versioned assets.
Web Development02 June 2026
Agentic AI Production Observability: A Field-Tested HOTL Framework
Standard APM tools fail to capture agent reasoning chains. Implement structured tracing and human-on-the-loop checkpoints to prevent silent production failures.

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