Bito

Bito's mission is to enable developers to innovate at the speed of thought.  We believe developers can become 10-20x more productive and GenAI is the key to this.  We are building agents to help automate various tasks for developers.  

Our first agent uses AI to do Code Review, like a human would.  It deeply understands your code and does a sophisticated analysis of the PR -- posting comments right into git.  Give developers feedback in minutes instead of days, cut your code review time by 50%, and improve quality!  Check out our 2-minute video to see it in action: https://bito.ai

Bito is funded by some of the best investors and best engineers in the world like the CTO of LinkedIn, CTO of Paypal, and CTO of Etsy.  

We are hiring, come join our team!

Co-founder and CEO

PubMatic

PubMatic's (NASDAQ: PUBM) full-service Supply Side Platform provides the leading programmatic platform for digital advertising, globally.  We work across all major channels from CTV to mobile app to video.  With over 500 employees, 10 offices around the world, and profitable for 9 years, PubMatic is one of the largest and most innovative SSPs in the world. Come join our team!

Founder and Chairman

PubMatic pioneered the ad revenue optimization space.  The first company formed and launched to help publishers manage real-time and programmatic advertising.

Founder and CEO

FinAccel

Board Member

Komli Media

Komli Media is Asia Pacific’s leading media technology company with solutions across display, mobile, social, and video for marketers, agencies and publishers. Komli is building next-generation platforms that leverage the power of programmatic buying to make advertising across display, mobile and social simpler and transparent. Headquartered in Mumbai, Komli Media has 300 employees across 12 offices in India, Southeast Asia, Australia, and New Zealand. Find out more at http://www.komli.com.

Founded Komli Media, the leading digital technology platform in Asia Pacific.

Microsoft/MSN

Responsible for online advertising sales and service of Financial Services and Retail Verticals on East Coast with approximately $100M in revenue.  Manage a team of 10.

Regional Manager

Managed sales and relationships for several Fortune 100 clients, selling Microsoft's enterprise suite of software.

Sales Executive

McKinsey

Consultant

Chipshot.com

Founded and led Chipshot.com to be #12 largest e-commerce site on the Web.  Drove 495% annual compounded growth to $30M annual sales run-rate.  Built team from 0 to 200.  Was responsible for revenue, strategy, marketing, operations, and technology.

CEO, President, Founder

I’m driven by a passion for building great products and believe deeply in developers as builders of our future. Sometimes the products I work on actually are great, some times not so much. :)  But I keep trying and learning.   

As a founder of Bito, I lead a team focused on creating AI-powered agents specifically designed to make developers’ lives easier and their work more impactful.

Our flagship product, an AI Code Review agent, reduces code review time by up to 50%, allowing developers to focus on what matters most: writing great code and innovating.

With a background in launching and scaling companies, including creating PubMatic, the first-ever Supply Side Platform in digital advertising (a category with >$10B market value), I bring a proven track record of pioneering solutions that create long-lasting value. 

My career began with a passion for building—from my first startup during college to a series of ventures focused on technology that changes how people work.

Today, I’m focused on the intersection of AI and software development, exploring how agentic AI can revolutionize developer tools and workflows.

Beyond product building, I’m committed to thought leadership in AI and devtools, sharing insights on trends like agentic AI, code generation, and the evolution of software platforms.

Connect with me to exchange ideas on AI, software development, and how we can continue pushing the boundaries of what’s possible.

Amar Goel

Today we are launching Bito’s AI Architect.

It gives teams 1-shot production-ready code, clearer reasoning across services, and faster onboarding and debugging. Available as an MCP to work with your existing agents. 

Engineering teams struggle when their coding agents and engineers cannot see the full system. With growing repos and complex services, missing context slows everything down. 

AI Architect fixes this by learning your entire codebase across repos, modules, APIs, and call paths.  

It builds a knowledge graph and delivers that context through MCP to tools like Cursor and Claude. 

Learn more: https://lnkd.in/gfVUN-fp 

Here’s a quick demo:

Bito.ai // AI Code Review that understands your code

Most customers at Bito agree on one thing, the real value of AI in development shows up with legacy code. Writing new code (with or without AI) is rarely the challenge. 

The harder part is when engineers need to work with large systems that have evolved over years. Each service ties into another, and one small update can create ripple effects across the stack. Teams spend hours tracing impact instead of building new features. 

AI can change that — when it truly understands how your system fits together. 

We’ve been working on a new layer of intelligence built for that kind of understanding, one that gives AI the same context your best engineer has before they make a change.

Exciting times ahead.

The fastest teams we meet all have one thing in common, they run small, focused experiments with AI before scaling them. 

One founder recently shared how his team kept its AI initiatives tight:  

- a few engineers,  
- a clear outcome, and  
- fast feedback loops.

He said: "Larger efforts often slow down under meetings and coordination." 

That mindset is what drives product development at Bito too. Every new feature or product we build starts as a small experiment with some beta users, refined until it proves value in their daily workflow. 

AI is moving fast, and its adoption is not about how many people you assign to it. 

Good AI adoption is how fast you learn what works.

In complex engineering teams, reviews often become the bottleneck. Too many PRs and too much context spread across services. Apica faced this.  

Their engineers worked across GitHub and Bitbucket, with 12–15 PRs opened every day and only a handful of reviewers available. 

They started using Bito’s AI Code Review Agent to flag issues early and summarize changes before human review. 

The results: 
- 530+ PRs reviewed 
- 271,000+ lines analyzed 
- 83% faster PR cycles 
- Half the review time per pull request 

Kumar Vishnu, Director of Engineering at Apica, says:

“Bito gives targeted, context-aware feedback that reduces the load on reviewers and improves overall quality. It’s a valuable part of our daily development workflow.” 

For teams managing multiple services, this kind of speed and consistency matters. 

Full case study in the comments.

Here’s a pattern we keep seeing in complex engineering teams: 

→ A pull request touches several services. 
→ Reviewers move between repos, trace dependencies. 
→ They try to rebuild context. 

and that chase takes longer than the actual review... 

LinearB analyzed close to a million PRs and found that code reviews wait more than four days before anyone starts them. Across multiple services, that delay compounds fast. 

Teams using AI code review tools like Bito see reviews move faster because context stays intact. 

The agent maps how services connect, highlights cross-repo impact, and brings that insight into the review itself.   

----  
And there’s more on the way. 

Keep an eye out for AI Architect, the first of its kind system that brings system-level intelligence to AI reviews.

Across most teams, pull requests sit open for 12-24 hours before merging. At Gainsight, a team of 250 engineers faced the same slowdown.  

Each PR needed a manual review, often taking close to a full day. When they added Bito’s AI code reviews inside GitHub, things changed fast. 

Reviews started running automatically, feedback arrived in minutes, and engineers fixed issues before human review. 

The results: 
- 1,000+ pull requests reviewed 
- 184,000+ lines of code analyzed 
- 2,600+ issues flagged 
- PR merge time dropped from 17 hours to under 2 

As Naveen Ithappu, Senior Engineering Leader at Gainsight, shared: 

“Bito acts as a smart, impartial reviewer that not only catches mistakes but also provides valuable context and education to our developers. It’s like having an extra senior engineer on the team.” 

When review cycles shorten, developers get more time to build. That’s how Gainsight keeps quality high while moving fast. 

Full case study in comments.

privado.ai

What is Privado?
-----------------
Privado is an open source static code analysis tool to discover data flows in the code. It detects the personal data being processed, and further maps the journey of the data from the point of collection to going to interesting sinks such as third parties, databases, logs, and internal APIs.

Who is it for?
-----------------
1. Privacy Engineers
2. Data Protection Engineers
3. Data Governance Engineers
4. Security Engineers
5. Mobile App Developers
6. Developers

How does it help?
-----------------
Privado let’s Engineer ask contextual questions on usage of sensitive data at scale.
Examples:
"Hello, User Accounts API Repository. Has any sensitive data been leaked to a log file?"
“Hello, HealthCare App Repository. Can you tell me all the variables that process patient's medicine data? And are they shared with Google Analytics?”
“Hey, Payments Micro-service Repository, is credit card data tokenized and encrypted?"
“Hey, Food Delivery Mobile App Repository, can you tell me if the User Location data is shared with this weird S3 bucket?"

Read more at: https://www.privado.ai/open-source

Founder and CTO

PubMatic is an Engineering Co. with products and services that cater to clients across the globe. I serve as Senior Director - Engineering since 2017.

I was actually the first employee of PubMatic and over last 12 years, I have developed and scaled many products that has had huge impact on PubMatic’s growth and have increased PubMatic’s revenue to over 100 Million USD. 

One of my core responsibilities includes, leading OpenWrap, Header Bidding and Programmatic teams with revenues contributing significantly to the platform spend, and amounting to millions of dollars.

A total of 20 Engineers operate in the organization and the total size of functional teams ranges between 40 to 45 respectively. 3 Engineering Managers report to me and I report to Senior Vice President.

KEY ACCOMPLISHMENTS
► Won "Innovation and Impact", "Star of the quarter" and "Leadership" awards several times in my stint with PubMatic.
► Acknowledged time and again for being a Visionary and for effectively setting-up High-Performing Teams, spearheading Technology Innovation, managing business transformation and mentoring new joiners.

Senior Director Of Engineering

As Director-Engineering, my primary responsibility involved leading OpenWrap, Header Bidding and Programmatic teams with revenues of 30%-40% total platform spend, around 100 Million USD.

I worked with 4 teams in total, including, Programmatic, Automated Guaranteed, User Interface, QA teams respectively. I also drove operations involving 30-35 engineers in the organization and indirectly participated in driving 40-45 teams that existed in the organization.

KEY RESPONSIBILITIES INCLUDED BUT WERE NOT LIMITED TO:
► Planning and directing all aspects of engineering activities and projects besides ensuring all engineering projects, initiatives, and processes are in conformance with established policies and objectives.
► Contributing significantly to career and employee growth by hiring new talent, suggesting employee level escalations and promotions, reviewing performances and identifying top-notch talent that would be our long-term assets.
► Setting performance benchmarks, targets and deadlines for the team and project managing schedules and timelines as per available resources and time constraints.
► Incorporating components, materials, and tools that result in cost-effective and quality output thereby managing overall engineering budget and costs as well as creating functional strategies and specific objectives for the organization.
► Coaching, mentoring and initiating continuous learning programs that would drive teams to excel in their given area of jobs and deliver results qualitatively, within the given resources and organizational infrastructure.

Director of Engineering

As Senior Manager-Engineering, I have led the Header Bidding team with revenues up-to few million USD. 

Number of teams I managed include Audience, Brand Control, Wrapper and Header Bidding teams respectively.

Number of engineers in the direct organization included 12 and total size of the functional teams ranged from 20 to 25. 7 Engineers reported to me directly and I reported to Vice President - Engineering.

KEY RESPONSIBILITIES INCLUDED BUT WERE NOT LIMITED TO:
► Leading, managing and mentoring a team of engineers and related personnel to ensure that projects were completed on time as per the specifications and within given timelines.
► Assisting in the recruiting process and developing top engineering talent besides developing standards and procedures to ensure quality standards are met and maintained.
► Project Managing and Product Managing the business from all aspects besides innovating products and improvising on the existing products and services.
► Maintaining and optimizing budgets to meet goals besides collaborating on complete product lifecycle from concept to execution.
► Recommending new technology and ideas to improve efficiency for the organization thereby ensuring effective delivery of services, on-time, every time.
► Recommending improvements and suggesting new policies and procedures for the engineering teams to improve in-turn overall efficiency of the processes.

Senior Manager Engineering

As Manager- Engineering, I reported to Director of Engineering and managed a team of 8 that consisted of Brand Control, Wrapper and Header Bidding teams respectively.

As a Delivery Head, I was responsible for project scheduling, tracking and delivery, roadmap planning, resource allocation, risk identification and mitigation respectively.

As a team manager, I was responsible for defining and tracking KRA's, team building, training, career planning and performance reviews.

I also acted as a solution consultant to help sales team upsells and in customer on-boarding to reduce overall lead time for the conversions.

CORE ACCOMPLISHMENTS INCLUDED: 
► Led multiple product teams and playing dual role of Manager and Architect as and when needed for projects.
► Designed and built a new generation of Unified Optimization Engine which does unified auction across guaranteed and non-guaranteed demand with focus on high availability and scaling.
► Designed and built advanced Data Safety Products.
► Played a pivotal role in extending Brand Protection capabilities for emerging monetization channels such as mobile and video.
► Mentored and managed all groups of new joinees to ensure qualitative delivery of work right from the start.

Manager Engineering

As Team Lead- Engineering, I successfully incubated a new product team named Unified Optimization Engine ( UOE ) for aligning all functions including product development, testing, product support . I also rolled out the first version (MVP) of the product in a record low time.

I was responsible for overall architecture of the Unified Optimization Engine (UOE ) and managed expectations of all stakeholders by ensuring effective upward and downward business communication.

I designed and built next generation of PubMatic ad detection browser plug-in called Ad Inspector and 
acted as 
              ► Delivery head for the projects
              ► Product Architect
              ► People Manager for the team
              ► Solution consultant for the business

On the whole, my job was to form teams and lead them as per business norms and quality requirements.

Team Lead

In this role, I accomplished the following:
► Led the team of developers to deliver Brand Control and Data Safety products.
► Led the research and architectural efforts for developing browser plug-in which became the core of the new product line.
► Was part of the SWAT team responsible for scaling reporting and data infrastructure.
► Got recognition and appreciation for becoming leading and most valuable contributor to PubMatic Labs which focuses on innovation and emerging technologies.

Senior Software Engineer

In this role, I played a vital role in designing and developing product AdFlex which allowed external entities to buy inventory using the PubMatic platform. This product later evolved and became modern day Real Time Bidding (RTB). 

Besides, I was part of the high performing team which was assigned to deliver results under crunched timelines and extreme work pressure.

Real Time Bidding is one of the latest and most acknowledged technological advancements accepted worldwide today by leading Companies.

It was my pleasure and honour to have been one of its key researchers and a part of the founding team.

Software Engineer

In this role, as the first engineer of the company, understood and implemented the alpha version of the automated yield optimization which was first of its kind in the world in year 2007.

I worked 72 hours straight without breaks on multiple days for beta release of PubMatic, which was announced at Techcrunch40 conference in the year 2007.

http://readwrite.com/2007/09/18/techcrunch40_revenue_models_and_analytics#awesm=~orrkih8PCEm6Nu )

I also played a vital role in:
► Integrating first few ad networks for yield optimization and improved ROI for the business.
► Implementing a robust thread pool framework for regulating the business processes.
► Building initial reporting infrastructure and ensuring qualitative flow of information and data.

Associate Software Engineer

Symantec

In this role, I was responsible for quality of UI Toolkit framework which was consumed by multiple product groups. This role involved white-box testing of the Toolkit as well as multiple research and development work that we, as a group of interns had to undertake on a daily basis.

Being my first hands-on experience in a corporate environment, this role set the pace and instilled interest in me to take my career forward as a software engineer.

Engineering Intern

Leading Privado.ai as Founder and CTO, our mission is to embed privacy into the DNA of software engineering. Overseeing the development of Privado, our open-source tool, we enable engineers to manage sensitive data with unmatched precision. This endeavor reflects our core value of making privacy a fundamental aspect of technology.

Prashant Mahajan

The only cookies I’m accepting today. Happy Thanksgiving! 🍪🦃

Grateful for our incredible team, trusting customers, and friends who cheer us on and keep us grounded. Thank you. 🙏

li_at

JSESSIONID

Turning Privacy from Blocker to Innovation Enabler | Founder and CTO, Privado

The #1 Blocker to Enterprise AI Adoption is "Privacy". 

It’s official: The Google Cloud ROI report identifies "data privacy and security" as the number one concern for executives evaluating LLM providers.

Privacy teams are currently perceived as the brakes on enterprise GenAI adoption. 

Here's the Fix: 
To change this dynamic, Privacy and AI governance teams must utilise the very technology they are regulating. AI-driven privacy tooling can provide the guardrails to move business fast, turning privacy from a blocker into the ultimate accelerator.

Is your privacy team seen as the brake or the steering wheel for GenAI adoption?

#AICompliance #DataPrivacy #PrivacyByDesign #EUAIAct

Privacy #1 - GenAI Blocker

As someone who has spent years building products for privacy, I’ll be honest: I used to think most privacy issues came down to intention.

“Care more. Document better. Write clearer policies.”

But inside real engineering and marketing workflows, a different picture emerges.

Privacy breaks not because teams don’t care, but because things move fast and visibility is limited.

An engineer ships a feature to unblock a sprint.

A marketer adds a tag because the campaign is going live now.

A new SDK gets added to improve engagement.

None of these choices are wrong. They are simply how products get built.

Yet each small decision quietly shifts how user data flows, and most teams discover those changes only after the fact.

In practice, privacy work becomes less about enforcing rules and more about uncovering what is actually happening.

Nothing can be fixed without clarity.

And until teams understand how data moves through their apps, everything else is guesswork.

Visibility will not solve every challenge.
Regulations keep evolving. 
AI keeps expanding risk.
Some days the target feels like it’s moving faster than anyone can track.

But clarity changes the dynamic.
It helps teams catch issues before they ship.
It shifts privacy from reactive to proactive, from friction to confidence.

This work is not about perfection.

It is about steady progress, closing the gap between what organizations' privacy promises and what they are able to practice.

That is the work worth doing. 💯

The Privacy Budget Playbook: Stealing Security’s ROI Strategy.

78% of executives with comprehensive C-level sponsorship for AI report seeing ROI now. Without that top-level alignment, privacy programs will struggle to modernize.

The Google Cloud report proves that early adopters of AI in security are reaping massive rewards in efficiency and risk reduction. 

Privacy leaders must stop asking for a budget based solely on compliance fear. Instead, we must articulate a clear business case built on operational ROI like faster completion of RoPAs and DPIAs, reduced headcount for manual mapping, and accelerated time-to-data-utility.

How are you framing the ROI of privacy automation to your board this quarter?

#PrivacyOps #CISO #ROI

Privacy Budget Playbook

Ever notice how privacy feels like a game of whack-a-mole? Just when you think you’ve got a handle on it, something new pops up. New data sources, new third-party tools, new regulations. It’s relentless.

And honestly, manual processes and legacy tools just can’t keep up anymore. They’re slow, error-prone, and frankly, exhausting.

That’s where AI comes in. Not as a buzzword, but as a real game-changer.

Imagine AI agents that automatically map your data flows, identify risks across user journeys, and even monitor consent in real time. No more endless questionnaires or manual audits.

It’s not about replacing humans. It’s about empowering them. Giving privacy teams the tools to focus on strategy, not just compliance checklists.

The future of privacy isn’t about doing more with less. It’s about doing smarter.

The smarter way is AI-driven. It’s the only way to stay ahead in this fast-moving landscape.

taplio

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taplio

The Battle

Amar Goel

Prashant Mahajan

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