fde.today

Scope creep is probably the number one challenge FDEs face. Common Scenarios Client asks for one more feature that turns into a month of work Stakeholders have conflicting priorities The original project scope keeps expanding Strategies That Work Document everything - Written scope agreements protect everyone Say yes, then prioritize - We can do that, let us figure out where it fits Make trade-offs visible - If we add X, we push Y. Which matters more? Regular check-ins with your manager - They can push back at a higher level Time-box exploration - Let me spend 2 hours looking into feasibility What are your strategies for managing scope?

As an FDE, you need comfort with a wide range of tools: Languages Python - The universal glue language SQL - You will write more SQL than you expect JavaScript/TypeScript - Frontend work and quick dashboards Bash - Deployment scripts and automation Data and Infrastructure Docker - Containerize everything Terraform/Pulumi - Infrastructure as code Airflow/Prefect - Pipeline orchestration Spark/Databricks - Large-scale data processing Client-Facing Jupyter Notebooks - Showing work to clients Streamlit/Gradio - Quick demo apps What is in YOUR toolkit? What tools do you wish existed?

What is Forward Deployed Engineering? Forward Deployed Engineering (FDE) is a role at the intersection of software engineering, consulting, and customer success. FDEs work directly with clients to understand their problems, build custom solutions, and deploy technology in real-world environments. Key Responsibilities Client-facing technical work - Embedded with the customer, not coding in isolation Rapid prototyping - Building solutions quickly to prove value and iterate Full-stack problem solving - From data pipelines to frontend dashboards Technical translation - Bridging what the client needs and what engineering builds Deployment and integration - Getting software running in messy production environments Who hires FDEs? The role was popularized by Palantir Technologies but has expanded to Databricks, Scale AI, Anduril, and many startups. FDE vs Traditional SWE Location: On-site with clients vs company office Scope: End-to-end solutions vs specific features Skills: Breadth over depth vs depth over breadth Feedback: Immediate from users vs through PMs Share your thoughts below - what drew you to FDE?

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