#Harness Engineering

Articles about Harness Engineering — exploring patterns, best practices, and real-world implementations in production systems.

8 posts tagged with harness engineering. ← All posts

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Pratik Dhanave · ·7 min read

Human-in-the-Loop: An Approval Gate on Durable State

Lesson 7 of Harness Engineering in Go — a sensitive action pauses for a human decision, and the whole suspension is nothing more than a Lesson 2 checkpoint marked awaiting_approval.

Series finale, Lesson 7: a sensitive action pauses for human approval, where suspension is just a Lesson 2 checkpoint marked awaiting_approval, the deadline is checked first so a late yes is void, and the action must be idempotent.

Pratik Dhanave · ·7 min read

Hierarchical Supervision: Bounded Fan-Out, Ordered Fan-In, Fault Isolation

Lesson 6 of Harness Engineering in Go — a supervisor splits a task, fans out to concurrent workers behind a semaphore, and fans the results back in decomposition order, with each worker's failure (or panic) isolated to one result.

Lesson 6: bounded fan-out behind a semaphore, ordered fan-in via a pre-sized results slice, and per-worker fault isolation so one sub-agent panicking becomes one failed result instead of crashing the whole run.

Pratik Dhanave · ·7 min read

Orchestration and Handoff: Routing Intent to a Specialist

Lesson 5 of Harness Engineering in Go — a triage step that first-matches a keyword and hands the request to a specialist, and the exact place a substring table stops being able to think.

Lesson 5: a triage router first-matches a keyword to hand intent to a specialist, and the exact point a substring table stops being able to think.

Pratik Dhanave · ·6 min read

Advanced Memory: Threads, Keyword Retrieval, and Lossy Summarization

Lesson 4 of Harness Engineering in Go — three collaborating stores (a thread, a knowledge index, and a summarizer) behind interfaces, and an honest accounting of where each local stand-in leaks.

Lesson 4: memory is three stores, not one — an append-only thread, a keyword knowledge index, and a lossy first-and-last summarizer — and an honest account of where each local stand-in leaks against Azure.

Pratik Dhanave · ·7 min read

Secure Sandboxing: Running Agent-Written Code Behind a Timeout

Lesson 3 of Harness Engineering in Go — how a context deadline and `exec.CommandContext` reap a runaway snippet, why the two-shaped `Result` distinguishes a timeout from a failure, and the leak that makes a local subprocess a teaching tool, not a security boundary.

Lesson 3: run agent-written code behind a hard timeout with exec.CommandContext, distinguish OK from TimedOut, and face the leak — a subprocess is not a security boundary.

Pratik Dhanave · ·9 min read

Durable Execution: Checkpoint Every Step, Resume After a Crash

Lesson 2 of Harness Engineering in Go — a workflow that saves its progress after each step and picks up exactly where it died, proven by a test that kills a real subprocess mid-run.

Lesson 2: a workflow that checkpoints after every step and resumes from the last one after a crash, why at-least-once execution forces idempotent steps, and the atomic-rename store that survives a killed process.

Pratik Dhanave · ·7 min read

The Agent Harness: guardrails as middleware around the model

Lesson 1 of Harness Engineering in Go — why the input guardrail is a hard block, not a warning, and how a plain `net/http` handler wraps the model call so it tests without a running server.

Lesson 1: why the input guardrail is a hard block rather than flag-and-pass, why it counts runes instead of bytes, and how a plain net/http handler wraps the (stubbed) model call so it tests with httptest.

Pratik Dhanave · ·6 min read

Harness Engineering in Go: build the harness, then let Azure supply it

Seven patterns that turn a bare model call into production agent infrastructure — each written first as offline Go behind an interface, so the leap to Azure is a swap, not a rewrite.

Seven patterns that turn a bare model call into production agent infrastructure, each written first as offline Go behind an interface (the seam) so the leap to Azure is a swap, not a rewrite.

All posts on this site are written by Pratik Dhanave, an Agentic AI Architect with 7+ years building production distributed systems, multi-agent AI platforms, and cloud-native infrastructure. About the author → Each article includes working code, architecture diagrams, and references to the specific frameworks and standards discussed. Browse all posts or explore related topics using the tag cloud above.