Shantanu Das

Shan is a contributor at Aviator’s blog, where they cover developer experience tooling, CI/CD workflows, and engineering productivity trends. With a knack for breaking down complex tech topics into clear, actionable insights, Shan helps teams streamline developer workflows and ship high-quality software faster.

Beyond Prompts: The Evolution of Developer-Agent Collaboration

Prompts helped developers start collaborating with AI agents, but they quickly lead to fatigue, lost context, and inconsistent results. Spec-driven development with Runbooks replaces ad-hoc prompts with structured, repeatable workflows making collaboration reproducible, auditable, and scalable for real-world engineering.
Shan is a contributor at Aviator’s blog, where they cover developer experience tooling, CI/CD workflows, and engineering productivity trends. With a knack for breaking down complex tech topics into clear, actionable insights, Shan helps teams streamline developer workflows and ship high-quality software faster.
Shantanu Das

Shantanu Das

Shan is a contributor at Aviator’s blog, where they cover developer experience tooling, CI/CD workflows, and engineering productivity trends. With a knack for breaking down complex tech topics into clear, actionable insights, Shan helps teams streamline developer workflows and ship high-quality software faster.

How High-Throughput Teams Merge Faster Using Parallel CI and Batch CI Runs

Parallel CI and Batch CI banner

High-throughput engineering teams often hit merge delays because CI pipelines run in strict sequence. Parallel CI fixes this by running jobs concurrently, cutting down wall-clock time and giving faster feedback. Batch CI takes it further by grouping multiple pull requests into a single run, reducing redundant builds and surfacing conflicts earlier. Together, they transform CI from a bottleneck into a throughput engine, helping teams merge faster, with fewer conflicts and a smoother developer experience.

LLM Agents for Code Migration: A Real-World Case Study

LLM Agents for Code Migration A Real-World Case Study

LLM agents are changing how developers handle code migration turning tedious, error-prone refactors into intelligent, semi-automated workflows. In this case study, we show how agents migrated a Java codebase to TypeScript by analyzing code, planning steps, and executing changes with architectural awareness and CI-backed validation.

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