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OpenAI's GPT-4.5 and subsequent Codex-based agent releases demonstrated that AI could complete full feature branches with minimal prompting, compressing the junior-to-mid software engineering pipeline. The shift is not mass replacement — it is workload redistribution. Senior engineers are spending more time on architecture, code review, and prompt design, while repetitive CRUD work is increasingly delegated to agents.
What This Means for Your Career
Indian SDE I/II roles are at the highest risk of being absorbed into senior workloads. Engineers at 0–4 years of experience should urgently develop system design skills, agent orchestration knowledge, and domain specialisation to avoid being priced out. Companies like Flipkart, Swiggy, and Razorpay have confirmed internal AI copilot mandates.
Where This Sits in AI Evolution
This article sits in the 2025 phase: Reasoning + Agent Systems. Teams shifted from prompt demos to orchestrated, evaluation-driven AI systems.
2017
Transformer Era Begins
2020
Foundation Models Expand
Late 2022
Chat UX Breakout
2023
Copilot Adoption Wave
2024
Multimodal + Open Models
2025
Reasoning + Agent Systems
Now (2026)
AI as Core Operating Layer