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.

Thomas Donhauser

OnPoint Management Group

OnPoint provides companies with fractional sales executives, and fractional sales teams, as well as lead generation and digital marketing services.

CEO & Fractional Sales Leader

APN Health

Director

FelixSolutions.AI

DataMotion, Inc.

Develop go to market strategy for healthcare division.  Develop and manage sales organization and oversee the growth and development of offerings including: SaaS and PaaS solutions that redefine how organizations collaborate, share data and exchange information with their customers and partners in a HIPAA compliant manner.

 Vice President Sales, Healthcare

Manage consulting and analytic service sales for the hospital and provider market in the eastern United States. Working with C-Suite executives on strategic issues involving HIPAA Compliance, Cyber Risk Management and other key healthcare reform initiatives including payment reform, value based care, post acute strategies as well as clinical and operational performance initiatives.

Director | IBM Watson Health

Managed all sales and marketing for this revenue management business process outsource services provider.  Implemented a sales and management process including a CRM system.  Developed and managed partner system, Managed marketing program including demand generation and trade shows.  Key vertical focus on financial services, energy/utilities, insurance and healthcare providers.  Expert in the area of Business Process outsourcing, Online Payment technology, Revenue Management.

Vice President, Sales & Marketing

Salient Corporation

Working with big data and advanced analytics to help F500 as well as mid size companies to improve revenue management programs.  Crafted solutions and strategies for optimizing profitability and improving market share.  Extensive experience in healthcare, retail, consumer package goods and logistics. Expert in the area of SaaS, Enterprise Software, Big Data, Analytics, Sales and Sales Management.

Vice President of Sales and Business Development

Synera Systems, Inc

Built and managed sales team from the ground up for the US with this technology start up.  Managed key partnerships with Big 4 Consultants, VAR's, ISV and OEMs

VP Sales

PRIME Services, Inc.

Helped to grow company from startup to a major consulting company focused on supply chain and operational management company in the Eastern US.  Held accountability for all sales and marketing initiatives as well as strategy development and oversight of the technology group.  Focus was on supply chain and management solutions in the healthcare industry.

Co-Founder/Executive Vice President Sales & Marketing 

I am CEO of OnPoint Management Group, a consulting firm that partners with global technology software and services startups and growth organizations, founders, private equity, venture capital, and boards of directors. I provide advisory services, go-to-market strategy, and sales/revenue acceleration and fundraising support. I have over 20 years of experience in technology sales, with a focus on healthcare and life sciences, financial services, retail, and CPG industries.

My core competencies include building and leading high-performing sales teams, developing effective sales strategies, and leveraging my exceptional communication and negotiation skills to close deals and exceed quotas. I also have expertise in advanced analytics, AI/ML/Big Data, clinical performance, HIPAA compliance, and cyber security and information risk management. I am passionate about staying up-to-date with the latest trends and innovations in technology and helping businesses succeed and grow.

Chief Executive Officer

Partnering with Global Technology Software/Services Start-Up & Growth Organizations, Founders, Private Equity, Venture Capital, & BODs for Advisory Services, Go-to-Market Strategy, and Sales/Revenue Acceleration and Fundraising!

taplio

The Battle

Amar Goel

Thomas Donhauser

Followers

Posts

Engagements

Likes

Performance ScoreAmar Goel's LinkedIn Performance

Ready to grow your LinkedIn presence?

taplio

The Battle

Amar Goel

Thomas Donhauser

Followers

Posts

Engagements

Likes

Performance Score.css-goub6s{font-size:var(--chakra-fontSizes-md);font-weight:500;color:var(--chakra-colors-gray-600);display:block;margin-top:var(--chakra-space-1);}Amar Goel's LinkedIn Performance

Ready to grow your LinkedIn presence?

Performance ScoreAmar Goel's LinkedIn Performance