GENERAL PUB_DATE: 2026.W01

A DAILY AGENTIC DEV LOOP YOU CAN PILOT THIS WEEK

A practitioner video outlines a repeatable daily workflow for building and iterating on LLM agents: start with a narrow task, instrument runs (traces, prompts, ...

A practitioner video outlines a repeatable daily workflow for building and iterating on LLM agents: start with a narrow task, instrument runs (traces, prompts, outputs), run quick evals on a small dataset, then refine prompts/tools and redeploy. The emphasis is on short feedback cycles, cost/latency tracking, and keeping prompts, test cases, and traces under version control.

[ WHY_IT_MATTERS ]
01.

Gives teams a concrete structure to experiment with agents without derailing delivery.

02.

Improves reliability via traceability, small-scope evals, and measurable gates.

[ WHAT_TO_TEST ]
  • terminal

    Stand up a minimal agent pipeline with tracing and cost/latency logging; compare against a scripted baseline on one recurring backend task.

  • terminal

    Create 10–20 golden test cases and add an eval step to CI that must pass before prompt/tool changes deploy.

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AI + SDLC // 5 MIN DAILY