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Development

Featured in Development

Accelerating Performance by Incrementally Integrating Rust into Existing Codebase

Lily Mara explains how to avoid high-risk software rewrites through incremental FFI refactoring. She shares how engineering teams can replace Python bottlenecks with Rust via PyO3, demonstrating how to achieve dramatic function-level speedups, seamless integration testing, and meaningful infrastructure cost savings without microservice overhead.

All in development

Architecture & Design

Featured in Architecture & Design

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.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

The Agent Harness: Control Planes, Invariants, and Approval Boundaries for Production AI Agents

OpenAI’s Vinoth Govindarajan discusses why production AI agents fail beyond model hallucination. Using real-world case studies like OpenClaw, he explains the key principles of reliable agent harnesses: establishing explicit state ownership, serializing concurrent state mutations, scoping execution authority, and validating actions at the user-visible edge.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

Maximizing Success with Limited Time, Resources, and Energy: Lessons from Startup Engineering

David Gudeman discusses battle-tested architectural patterns for resource-constrained engineering teams. Drawing from over a decade of startup experience, he explains how pairing GCP, Firebase, and Cloud Run accelerates product-market fit. Learn how to eliminate redundant frontend state, structure event-driven backends, and maintain lean DevOps while building for long-term scalability.

All in culture-methods

DevOps

Featured in DevOps

Securing AI Agents: Identity, Authorization, and the DPACT Framework

In this episode, Sahil Agarwal talks about the critical challenges of identity, authorisation, and security in the age of AI agents. Sahil introduces the DPACT framework (Delegation, Policy, Auditability, Context, and Time) as a blueprint for building responsible, guardrailed agentic systems, moving away from simple token-based access toward bounded, delegated authority.

All in devops

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AI Security & Privacy Engineering Certification

Secure and govern production AI systems, from sensitive data to guardrails, evals, and audits.
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Your coding agent moves fast. Who checks whether it's making the codebase better?
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QCon San Francisco

What's working across AI, architecture, and leadership, from the teams doing it.
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QCon AI New York

Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.
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QCon London

What early-adopter teams have proven in production, across 15 engineering tracks.
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InfoQ Homepage Spec Driven Development Content on InfoQ

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AI, ML & Data Engineering

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.

Nitin Garg
on Sep 10, 2026
Architecture & Design

Spec-Driven Development – Adoption at Enterprise Scale

Spec‑Driven Development shifts AI‑augmented software delivery from tactical prompting to collaborative intent articulation. Enterprises face gaps in tooling, workflow integration, multi‑repo coordination, and cross‑functional collaboration. Sustainable adoption requires treating specs as living, shared interfaces, and evolving organizational practices.

Hari Krishnan
on Feb 19, 2026
Architecture & Design

Spec Driven Development: When Architecture Becomes Executable

Spec-Driven Development inverts traditional architecture by making specifications executable and authoritative. It transforms declared intent into validated code through AI generation and provides architectural determinism. It eliminates drift through continuous enforcement, but demands new engineering discipline in schema design and contract-first reasoning.

Leigh Griffin Ray Carroll
on Jan 12, 2026

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