Priyansh Jha

India / remote worldwide

Full-stack product engineer

Products with clarity.
Systems with spine.

I turn ambiguous product ideas into reliable developer tools, workflow systems, and SaaS products built to survive real use.

Product engineeringBackend systemsDeveloper tools0→1 shipping

GitHub Start a conversation

Open to remote startup roles

Live workbench

Atlas / change intelligence

Building

Evidence-backed impact reports before software changes reach production.

Change intentEvidence graphImpact report

Now shipping

Connecting real repository evidence to Atlas impact analysis

Selected work

Built to be
used.

Three products that show how I connect interface decisions, system architecture, and reliable execution.

Interactive system trace

Inspect how the work moves.

Select a system to follow its product intent, engineering boundary, and production outcome.

Engineering intelligence

Atlas

Helps engineering teams identify affected systems, dependencies, and operational risk before a planned change reaches production.

Change Input

Evidence Retrieval

Impact Graph

Risk Report

01 / flagship system

active

Atlas

Engineering intelligence for understanding the impact of software changes before they ship.

Connects repository structure, architecture, history, and technical knowledge into evidence-backed impact reports and explorable system views.

Outcome: Helps engineering teams identify affected systems, dependencies, and operational risk before a planned change reaches production.
Decision: Model impact analysis as an evidence trail across repositories, architecture, history, and documentation instead of presenting an opaque risk score.

Next.jsCloudflareDrizzleBetter AuthReact Flow

GitHub

02 / flagship system

active

Execute

An approval-gated agent for creating, inspecting, and operating deterministic business workflows.

Turns natural-language requests into validated proposals, requires explicit approval before mutations, and reuses a strict workflow executor for observable actions.

Outcome: Combines conversational product UX with tenant-safe execution, operational controls, and a clear human decision boundary.
Decision: Keep model reasoning separate from mutation authority: every write becomes a persisted, validated proposal that the user must approve before deterministic code executes it.

Next.jsTypeScriptSupabaseDrizzleGroqResend

Live product GitHub

03 / flagship system

active

CodeMap

Import repositories, visualize architecture, and query large codebases with context-aware retrieval.

Built around repository ingestion, structured indexing, and retrieval workflows that help developers understand unfamiliar systems faster.

Outcome: Turns large repositories into explorable system maps for faster onboarding and architecture understanding.
Decision: Create a structured repository context layer before enabling search so answers can stay grounded in the actual codebase.

Next.jsNode.jsPostgreSQLRedisLLMs

Live product GitHub

Earlier work

The archive.

Engineering trace

The work leaves
evidence.

Product claims are easy. These are the implementation decisions, operating habits, and shipped systems behind mine.

Now / build log

Active

Active Engineering Focus

Shipping work that improves reliability, developer experience, and system transparency across the current product set.

Connecting real repository evidence to Atlas impact analysis

Hardening Execute agent proposals, approvals, and failure recovery

Evaluating cross-system retrieval for engineering intelligence

Improving architecture and dependency visualization workflows

Receipts

Concrete build evidence

Built an approval-gated agent with persisted, expiring, and idempotent action proposals

Enforced tenant isolation across agent tools, execution actions, integrations, and failure findings

Added usage accounting, atomic limits, provider controls, and prompt-injection defenses

Designed Atlas impact reports across code, architecture, history, and technical knowledge

Built semantic repository indexing pipeline for CodeMap

Recent shipping

July 2026

Built the Atlas engineering-intelligence product prototype and protected workspace

Added approval-gated agent actions, tenant-safe tools, usage controls, and failure monitoring to Execute

May 2026

Added repository import pipeline to CodeMap

Improved selected work deep-dive and architecture surfaces

April 2026

Refactored Execute execution engine around deterministic orchestration

Strengthened async validation and queue-backed workflow handling

March 2026

Built async validation pipeline experiments for Execute

Started architecture visualization and retrieval exploration for CodeMap

Operating principles

Start with the user problem, then design the smallest system that solves it well.

Keep critical workflows deterministic, observable, and easy to reason about.

Own the full product surface, from interface details to backend execution.

Ship early, learn from real usage, and improve the architecture with intent.

Where I add leverage

Useful across the product boundary.

Start a conversation

Own a product slice end to end

Turn a loosely defined problem into a usable interface, a clear data model, working backend flows, and a deployed release.

Evidence / Atlas, Execute, Axiom

Make complex systems understandable

Design developer-facing workflows, architecture views, and feedback loops that expose what the system is doing.

Evidence / Atlas, CodeMap, Execute

Build reliability into the workflow

Use validation, queues, observable execution, and deliberate state transitions where product trust depends on correctness.

Evidence / Execute, Atlas, CodeMap

Products with clarity.Systems with spine.

Built to beused.

Inspect how the work moves.

Atlas

Atlas

Execute

CodeMap

The archive.

The work leavesevidence.

Active Engineering Focus

Useful across the product boundary.

Own a product slice end to end

Make complex systems understandable

Build reliability into the workflow

Products with clarity.
Systems with spine.

Built to be
used.

The work leaves
evidence.