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.

Dun & Bradstreet

Oversee & manage technology strategy, product innovation and product development for Dun & Bradstreet's audience technology platform team. Driving India and Singapore product engineering teams.

Vice President, Digital Audiences 

Eyeota

Oversee technical strategy, product innovation and development for Eyeota audience technology platform. Building and managing India and Singapore product engineering teams.

Vice President Of Technology & India Head

Lemma Technologies

Lemma Technologies - pioneer in Digital-OOH. 
Lemma’s focus is to enable programmatic capabilities and to provide a complete automation platform for outdoor advertisement.

Co-Founder & Advisor

AmplifyReach

AmplifyReach is Conversational Sales and Support platform powered by chatbots and voicebots. Get started for free today and join 3000+ businesses using AmplifyReach at www.amplifyreach.com

With AmplifyReach, anyone can launch conversational channels, built bots to assist customers and scale business with no worry on increasing headcounts and cost.

PubMatic

PubMatic's (NASDAQ: PUBM) full-service Supply Side Platform provides the leading programmatic platform for digital advertising, globally. 

Aditya oversaw product, technology and engineering teams for Premium Programmatic-Direct and Yield management technology across mobile, video & native advertising solutions since inception at PubMatic. 
Overall emerging media grew from 0 to 30+% of PubMatic's revenue in 3 years. 

Aditya was responsible Mocean acquisition by PubMatic where he owned technology, product and team integration.

Vice President, Emerging Media

Various Startups

*AU Software Technologies - Member of Board - Jun11-May13 - Help driving strategy, business plan, customer engagement model for AU Software Technologies focused on indie games and premium gaming services. Cuelogic acquired AUTech in May 2013.

*Eknotel – Founder and CEO - Jun09-Mar10 -  Built company focused in Outsourced Product Development services in Mobility ecosystem. Worked with startups to large ISVs. Merged Eknotel and MobiTeem to create MobiPrimo Technologies.

*MobiTeem – Founder and CEO - Jun09-Mar10 -  Innovative mobility solution to enable access to enterprise data on the go. Early adopters that included Indian arm of global leader in commercial vehicle segment. Merged Eknotel and MobiTeem to create MobiPrimo Technologies.

Mentor, Founder, Member of Board, Investor

MobiPrimo Technologies

Oversaw Products and technology roadmap. Inception to GTM of Products fbData, social collaboration platform for Facebook & TextUp social messaging application with patent pending technology.

Products won Mobiprimo accolades including Red Herring Asia 100 winner company.

Mobiprimo acquired by Pubmatic Inc.

Founder, CTO

Persistent Systems

Multiple roles encompassing multiple management responsibilities from engineering, operations, pre-sales. Oversaw multiple engineering teams & delivered to mobile first technology startups.

Project Manager

Ruksun

Later Amiga Development India (through acquisition)
Through out worked for Magic4 (Openwave company, through acquisition)

Senior Software Engineer

Openwave

Consultant to team that developed & deployed mobile based SMS & IM stacks. These stacks were implementation of standards from 3GPP, CSP wireless village. Stacks were utilized by Motorola, Panasonic, Kyocera.

Aditya enjoys building technology products. Executive level experience building high growth startups in AdTech, machine learning & AI. 
Expertise in building & executing product & technology innovation. Adept at mentoring & growing agile product & engineering teams.

Specialties: Technology Startups, Entrepreneurship, Engineering & Innovation management, New product discovery, GTM-MVP strategy and execution, Technical sales

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