Co-founder and CEO at Bito. 

We build codebase intelligence for AI coding and reviews, so AI tools can reason about real systems instead of guessing. 

Before Bito, I built and scaled companies across multiple markets, including PubMatic (NASDAQ: PUBM). 

Right now, I spend most of my time thinking about AI, software systems, and why understanding codebases matters more than writing code faster.

Amar Goel

Super excited to share our first independent evaluation of Bito’s AI Architect on SWE-Bench Pro.

Working with The Context Lab, we evaluated AI Architect using the same Claude Sonnet 4.5 class agent, the same tools, and the same execution limits. The only difference was system context. 

With AI Architect enabled, the results were clear: 

• Task success rate increased by 39%
• Tasks completed 19.6% faster 
• Tool calls dropped by 25.4% 

All without any additional token or compute overhead.  

We intentionally focused this evaluation on large, real-world codebases with millions of lines of code and hundreds of files, because that’s where today’s coding agents struggle the most without system-level understanding. 

This reinforces our core belief: better outcomes don’t come from bigger models alone, but from giving AI real understanding of the system it’s working in. 

The full SWE-Bench Pro evaluation report is available below. 

Link in the comments.

Bito | Top score on SWE-Bench Pro - Deep codebase intelligence for AI coding and reviews

In 2025, AI-assisted pull requests showed around 1.7× more issues than human-written PRs, even though tests passed and reviews looked clean. This will only go up if we don’t understand the root: 

The reason is fairly straightforward once you look closely.  

AI code gen works with partial views of the codebase. 

It sees files and snippets, but it does not see how state flows across services, where invariants were added after past incidents, or which assumptions are baked into downstream consumers.  

When those relationships are missing, the generated code follows patterns that look reasonable locally and break behavior globally. 

The study pointed out that most of the issues appeared in places reviewers and tests are weakest. 

Conditional paths, retries, rollbacks, and failure handling are rarely exercised fully in unit tests, and PR reviews are scoped to diffs.  

If the system context is incomplete, both humans and tools end up approving code that only works under ideal conditions. 

This is why scaling AI coding tools inside large systems has been harder than demos suggest. Throughput goes up, but system risk quietly accumulates. 

This is the gap Bito’s AI Architect is designed to address.

If you want to learn more, I'd be happy to chat. DMs always open.

AI coding tools feel super cool on side projects, then break as soon as they're inside large, existing, enterprise codebases.  

Custom frameworks, internal conventions, fragmented repos, and years of accumulated constraints change the whole narrative. 

A LinkedIn post by Gergely Orosz from earlier last year captured it well, including a case where a top company rolled out an AI coding tool to thousands of developers and roughly half stopped using it a few months later. 

~50% ! 

The fact that it still feels true today matters, because it points to a structural gap (not a temporary tooling gap).

AI code gen breaks down when the tool cannot model the system, including dependencies, call paths, and the implicit contracts that make production software behave.  

That is where codebase intelligence becomes the difference between a demo and something you can trust in an enterprise. 

Exactly what Bito is building: The AI Architect.

Veracode’s 2025 GenAI code security report states that about 45% of AI-generated code still contains vulnerabilities.

This is one big reason AI-generated code keeps adding security debt. And that number has barely changed even as models have improved.

The underlying reason is straightforward. These models learn from public code, and public code includes a lot of insecure patterns.

When AI code gen is asked to implement common tasks, it often reproduces what it has seen most:

Raw SQL queries instead of parameterized ones.
Hardcoded secrets. Missing validation. And more..

The code compiles, looks reasonable in review, and passes basic tests, while carrying flaws that only surface later.

Security rules live across schemas, data flows, and service boundaries. When AI works without seeing those relationships, it fills gaps by pattern matching. That behavior scales insecure code faster than teams can realistically review it.

We built Bito’s AI Architect. It addresses this by building system intelligence through a knowledge graph of the full codebase, so AI code gen reflects how security actually works across the system.

🎤 This is what a customer has to say about the AI Architect:

"We’ve spent too much time fixing agent-generated code. Now most changes work in one shot because Bito’s AI Architect actually understands our services and APIs. It’s been a huge boost to Cursor."

AI Architect is available via MCP (on-prem coming soon).
We are rolling out demos on a huge scale.
DMs open if you want one.

Isana Systems

Providing Build-Operate-Transfer (BOT) model based offshore engineering services for the Product Startups from US & India.

Built i> Blockchain and AI based Collaboration Platform for End-to-End Digital Transformation of Business Operations by Healthcare/Wellness Experts. ii>  Social Media Android App to bring shopping experience and photo sharing together to pay back to the end users.

Founder and Technology Head 

Bord Systems

Co-founder and Head of Technology

The Climb App

The Climb App
A photo sharing app that rewards user with discounts, deals and cashbacks for every photo they upload. Through its Climb Exclusive Coupons, Climb brings local store level brands to the online discounting sector. 

Download the app to know more : https://play.google.com/store/apps/details?id=com.cluelessmonk.climb

Co-Founder

PranaCare - pranacare.co.in

Inspiring Better Health 
Blockchain and ML based SaaS platform for multiple Medical Practitioners  to provide the coordinated care to end Patients.

PranaCare  - Collaborative Healthcare Platform for Medical Practitioners

Founder and Technology Head

Zettics (Formerly Umber Systems)

Started with Umber as Senior Principal Software Engineer to work on Mobile Data Mining and Analysis Platform in August 2008 and took over the team of 6 engineers with-in a year as Director of Software and Head of India Operations. Grew the team to 25 engineers to work on all the complex components of Zettics Mobile Data Mining and Analysis platform targeted for Mobile operators and to make sure that the customer deployments are running smoothly.

Senior Director of Software and Head of India Operation

Symantec

Senior Manager - Development

PANTA Systems

Technical Director

VERITAS Software

Engineering Manager

Nu-Link India Pvt. Ltd

Software Engineer

Datapro Information Technology Ltd

Seasoned SW Product Professional and Passionate Team Builder & Problem Solver.

Helping Product Startups to build their products starting from Market research, UX, Development, Testing to the (public/private) cloud based Deployments & collaborating with multiple stake holders. 

Associated with the multiple startups in varied technology domains like GenAI, Team Collaboration tools & integrations, Blockchain using Hyperledger Fabric & Iroha, Big Data Analytics, Machine Learning, Cloud based Apps with Highly Responsive Web & Mobile Interfaces, Server & Storage Virtualisation, Provisioning & Management, Data Protection (Backup & Recovery), Identity Management, System Management and Network Monitoring.

Built i> Blockchain based & ML based Collaboration Platform for Medical Practitioners to provide the coordinated care to end patients & to build highly secured Patient's EHR ii> Social App to bring shopping experience and photo sharing together to pay back to the end users.  

Specialties: Spearheading Tech, Building the Development & QA teams from scratch, Setting-Up Engineering Operation, Making Robust, Quality & Timely Product Releases, Handling Customer Escalations and Interfacing with Product Management, Program Management & Customer Support/Operations. Well versed with Legal & Operational details for handling India office.

Linux, Different flavours of Unix & Windows.
Java, Python, Node/JS/TS, GoLang, RoR, C, C++ & Shell Scripting.

GenAI using OpenAI (GPT), Anthropic (Claude), Google (Code-Gecko, Chat-Bison, Gemini Pro) & OpenLLM.

Cloud deployments and resource management at AWS & GCP.
Containerisation using Docker, Docker Compose & Swarm, K8S, EKS & ECS
GCP AutoML, OpenCV, Ray, Apache Spark, Pandas, DASK, TensorFlow, Numpy, Scikit-learn & Keras.

Vector DBs - Qdrant, Milvus, Vectra 
NOSQL DBs - MongoDB, Redis, Aerospike, Cassandra, CouchDB, HBase, ELK.
RDBMs - Oracle, DB2, Teradata, MSSQL, MySQL, MariaDB & PostgreSQL.

RESTFul Web Services using Spring/Springboot, Jersey, CXF, Swagger, Retrofit, Python-Flask, Node.js/Express.js & GraphQL.

Message Queues RabbitMQ, ActiveMQ & Kafka.

Web-based UI - Java, JS/TS, JQuery, HTML5, CSS3, Angular, React/Redux, Material design, Ant Design & Bootstrap.
Android Apps, iOS Apps and Hybrid Applications using Ionic.
Chrome, VSCode & JB Extensions.

Blockchain tools - Hyperledger Fabric, Hyperledger Iroha & BigchainDB.

3rd Party Integrations - Zoom.us, Slack, Segment, Mixpanel, SonarQube, FBInfer, OWASP, Intercom, Cloudflare, AWS S3, Amazon CloudFront, Google Firebase, PayU, Stripe, WhatsApp/SMS, Mailjet & GA.

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Engagements

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