Saurabh Singh

Fifteen years building what banks and social networks run on.

Now building what developers will run on.

$ building autonomous-agents --for developers

Software · Systems · Agents

Software rots. Teams can't keep up with framework upgrades, so they wait until EOL and then it's a scramble. Code reviews pile up because nobody has time to understand what changed. Cloud bills grow quietly because you're shipping too fast to check. The business thinks software is a non-degrading asset. Engineers know better.

The best tools I've built are mostly good engineering. Graph analysis, AST transforms, dependency tracing. AI shows up where it counts: eliminating the manual grind, generating explanations from real context, catching what humans skip when they're moving fast. Engineering does the work. AI removes the busywork.

This isn't speculation. I'm building these tools with the same rigor I brought to systems that move real money and serve billions of users.

# the thesis in three lines
enterprise_rigor + ai_agents = tools_that_ship

AI lets us move faster than ever. That speed creates its own problems. I'm building tools for both sides of that equation.

Migrataur Shipping

Codebases age. Frameworks move on. Migrataur handles migration at scale. Dependency graph analysis, AST transformations, and verification engineering do the heavy lifting. AI steps in to eliminate the manual effort that used to block teams for quarters.

$ migrataur migrate --from spring-boot-1.5 --to spring-boot-3.5
PRExplainer Shipping

Speed without understanding is just technical debt with a new name. PRExplainer uses Tree-sitter to build real context about the modified code, keeping it tight yet useful. That's why the explanations and reviews it generates are coherent, not hallucinated.

DevsBill Shipping

When you ship in days what used to take months, cloud costs sneak up on you. DevsBill tracks spending across AWS, GCP, and Azure with forecasting and optimization signals. Built for developers who move fast and pay their own bills.

Indieprise Coming Soon

The intelligence layer across all your projects. Indieprise surfaces cross-project signals: which codebases need migrations, how your code is evolving, where you're spending too much. One picture instead of five dashboards.

# cross-project signals
migration api-gateway spring-boot 2.7 → 3.5 overdue
cost data-pipeline AWS spend +34% m/m watch
evolution checkout-svc 12 PRs/wk, 0 reviews risk

Also in the workshop

Multi-session command centers for developers juggling five Claude Code sessions at once. Autonomous application scaffolding. Local-to-cloud migration bridges. Most of what I build starts as a tool I needed yesterday.

Fifteen years in rooms where the stakes are real. Investment banking tools, social products serving billions of users, systems handling private capital markets and portfolio valuations. Fintech, social platforms, healthcare.

That background shapes everything I build now. When I design an autonomous agent, I think about failure modes. When I ship a developer tool, I think about the on-call engineer at 2 AM. The instinct to build things that actually work in production comes from years of building things that had to.

Investment Banking Capital Markets Social Platforms Healthcare Data Engineering
# what I've shipped with
lang Java · Kotlin · Python · TypeScript · Rust · Go
infra AWS · Kafka · GraphQL · DynamoDB · Oracle · MongoDB
ui React · Angular · D3 · NextJS