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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

Panel: Who Builds the Frontend Now? (And What Breaks When They Do)

The panelists explain how AI tools and vibe coding reshape frontend and mobile engineering. They share insights on evolving junior developer roles, managing AI-generated code review fatigue, designing systems for autonomous agents, enforcing architectural guardrails, and navigating economic shifts in open-source software sustainability.

All in architecture-design

AI Infrastructure

Featured in AI, ML & Data Engineering

Zero Trust Agent Systems that Pass Audits and Still Ship

Advait Patel shares a playbook for securing AI agent systems in production. He discusses moving defense boundaries from the prompt to the tool layer, enforcing scoped workload identities, and mitigating prompt injection via tool outputs. He explains how to structure audit-ready observability and implement kill switches to protect critical data while keeping deployment fast and compliant.

All in ai-ml-data-eng

Culture & Methods

Featured in Culture & Methods

The Socio-Technical Staff+ Engineer: Architecture, Culture and Organisational Change

Vanessa Formicola shares how technical leaders can move beyond "wishful architecture" by practicing holistic socio-technical engineering. She discusses why engineering leaders must account for organizational maturity, reward structures, geopolitical climate, and team dynamics, framing the staff-plus role as designing the conditions for technology to thrive rather than just picking tools.

All in culture-methods

DevOps

Featured in DevOps

Wrangling Telemetry at Scale: a Guide to Self-Hosted Observability

Colin Douch shares battle-tested strategies for building and scaling self-hosted observability stacks. He explains how to effectively correlate metrics, structured logs, and distributed traces using open-source tooling like Prometheus, VictoriaMetrics, and Jaeger, while navigating the engineering trade-offs of avoiding SaaS vendor lock-in.

All in devops

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What's working across AI, architecture, and leadership, from the teams doing it.
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Production AI across agents, context, evals, security, and infrastructure, from the senior engineers building it.
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What early-adopter teams have proven in production, across 15 engineering tracks.
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Learn from the decisions and trade-offs behind AI systems already running in production.
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AI, ML & Data Engineering

Context Language Models: Self-Managing Context to Improve Performance and Reduce Compute Costs

Researchers from Meta, MIT, and the University of Washington introduce Context Language Models (CLMs), a new approach that enables language models to manage and edit their own context rather than relying on predefined mechanisms for summarization, compression, and information retrieval, reporting substantial gains in both performance and computational efficiency.

Sergio De Simone
on Oct 11, 2026
AI, ML & Data Engineering

Graphify: Unifying Codebase Context to Streamline Agentic Software Engineering

Graphify is an open-source tool designed to convert codebases and unstructured data into queryable knowledge graphs. Launched in April 2026, it addresses challenges of multi-file reasoning for AI coding assistants. Recent updates have enhanced parser features and cross-file resolutions. Community feedback indicates a promising architecture but notes integration challenges in daily workflows.

Olimpiu Pop
on Sep 23, 2026

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