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The state of the tech industry in 2026
The nature of software engineering has fundamentally shifted toward agent-orchestration, with most productive engineers now running multiple parallel AI agents instead of manual coding.
What: Gergely Orosz identifies trends such as the fading relevance of IDEs, the exponential growth of agent-generated PRs on GitHub, and the rise of internal agent 'harnesses'.
Why it matters: Development is moving toward a model where engineers act as architects and verifiers of AI-orchestrated workflows, rendering traditional manual coding practices obsolete.
Deep dive
- Code is now generated exponentially, making manual code reviews theatrical and ineffective.
- Developers are increasingly moving development into Slack-integrated agent workflows.
- Migrations that previously took years are being completed in weeks using AI.
- Quality and reliability are currently struggling as the industry transitions to new infrastructure.
- Engineering teams are consolidating around AI-positive talent with deep domain knowledge.
- Organizations are building internal 'agentic software factories' to automate CI/CD and deployment.
Decoder
- Agentic Software Factory: A system where AI agents manage the entire software development lifecycle, from writing and testing code to deployment and monitoring.
- Tracer Bullet: A development approach that builds a thin, end-to-end slice of functionality to prove the architecture works before scaling.
- Harness: A platform or framework designed to orchestrate and evaluate multiple AI agents working on complex tasks.
Original article
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