InfoQ Homepage Culture & Methods Content on InfoQ
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The Ladder is Missing Rungs: Engineering Progression When AI Ate the Middle
Alasdair Allan shares data on the "missing rungs" of software engineering, explaining how AI coding tools stunt junior developer skill growth and disrupt future technical leadership pipelines.
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AI is an Amplifier: Scale High Performance, Not Dysfunction
Nathen Harvey discusses key findings from the 2025 DORA research, explaining how AI adoption, internal platforms, and organizational guardrails drive real software engineering performance.
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How to Find Resilience Bugs in Systems that Don't Exist
Hillel Wayne explains how formal methods principles - like properties, verification, and environments - help software engineers uncover subtle concurrency bugs and architectural flaws early.
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The Reinvention of the Dev Team
Hannah Foxwell explains how agentic AI reshapes dev teams, urging software leaders to rethink team structures, eliminate delivery friction, and focus on human-centric value and reliability.
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Keeping the Mainline Green across Diverse Language Monorepos
Dhruva Juloori shares how Uber keeps monorepo mainlines green using SubmitQueue. He explains how conflict analysis, probabilistic speculation, and ML reduce CI resource usage and speed up landings.
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Context is the New Code
Patrick Debois explains how treating context like code transforms the Software Development Life Cycle into a Context Development Life Cycle to scale AI agent workflows reliably across teams.
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From Staff Platform Engineer to a16z Founder: What I Wish I'd Known
Gonzalo Maldonado shares how engineers can apply VC-style thinking (the "VALK") to evaluate platform tools, de-risk new ventures, navigate post-ZIRP realities, and scale software into businesses.
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Maximizing Success with Limited Time, Resources, and Energy: Lessons from Startup Engineering
David Gudeman shares high-velocity startup architecture strategies, explaining how to leverage Firebase, GCP, and Cloud Run to ship fast, eliminate state complexity, and scale without devops overhead.
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Complexity and Creativity in Software Engineering
Phillip Mortimer explains why all code is now write-only in the AI era, detailing how software leaders must shift focus from line-by-line PR reviews to detailed tests and self-healing architecture.
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Teaching Engineers, Trusting AI: How Education Enabled Autonomous Code Review
Sarah Deitke shares how Duolingo scales AI adoption through engineering literacy programs and demonstrates how AI-driven code reviews reduced pull request merge times from 18 to 12 hours.
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Lead without a Ladder: How I Climbed into Engineering Leadership
Pauline Jepp discusses applying systems thinking, swarm behaviors, and rock-climbing principles to foster team autonomy, manage domain context, and navigate tech leadership.
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Accelerating Performance by Incrementally Integrating Rust into Existing Codebase
Lily Mara explains how engineering teams can achieve 100x function-level speedups and lower infrastructure costs by using PyO3 to incrementally refactor critical Python codebases into Rust.
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