module 01
Product Engineering
Designing and shipping web products with durable frontend systems, pragmatic backend architecture, and clean delivery loops.
operator console
ashis.dev / portfolio $ boot portfolio --mode=agentic
Identity / Mode / Focus
Ashis builds web systems that feel sharp, operational, and ready to ship.
Technology lead and full-stack engineer working at the intersection of product craft, developer tooling, and execution clarity.
12+
Years shipping production systems
0->1
Build mode from vague idea to usable product
Lead
Hands-on technical direction and execution
operating modes 03 modules
module 02
Agentic Workflows
Building automation-heavy developer experiences, AI-assisted tooling, and operational surfaces that feel like real instruments.
module 03
Technical Leadership
Translating messy business goals into execution plans, system boundaries, and code paths teams can actually maintain.
proof capability map
I work best where product ambiguity, technical depth, and delivery pressure overlap.
- Enterprise delivery across product, platform, and operations-heavy environments.
- Strong with Astro, Next.js, React, TypeScript, API design, performance, and platform integration.
- Comfortable switching between architecture, implementation, and interface craft without losing velocity.
featured writing 02 items
- open
Tokens, tokens everywhere
A deep dive into AI tokens - what they are, how they work, how different models interpret them, and tips to reduce usage.
- open
Edge vs Node Runtimes - The Showdown Your Frontend Deserves
A fun dive into Edge vs Node runtimes, Vercel Edge, Cloudflare Workers, and why your frontend might be living in the wrong neighborhood.
recent logs latest 4
- open
Spacetime DB
A deep dive into building real-time chat applications with SpacetimeDB - covering tables, reducers, WebSocket connections, and the full client-server architecture.
next action ready
Collaboration prompt
Need someone who can reason through the system and still care how the interface feels?
I like work that starts messy, gets clarified fast, and ends in something real: a platform decision, a working product surface, or a delivery path a team can sustain.
Execute