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Skip to content The context layer your engineering workflow is missing AI Architect provides feasibility analysis, technical design, and impact assessment, grounded in your code and operational history. Available across coding agents & issue trackers Cursor Claude Code Codex Jira Start free Watch demo Trusted by teams at AI agents accelerated coding. Technical design is still behind. Senior engineers spend 60 to 70% of their time on work before coding starts. Feasibility analysis, technical design, cross-repo impact mapping, and epic breakdown. Every new feature creates that same queue at the same desks. 01Feasibility analysis One engineer who knows the system Wrong things get built 02Technical design Bottlenecked on system knowledge Weeks of rework downstream 03Cross impact analysis Lack of full cross-repo visibility Surfaces in production 04Epic breakdowns Knowledge leaves when people do Next sprint starts blind AI Architect is built for exactly this work AI Architect builds a knowledge graph of your codebase and operational history, mapping services, dependencies, and APIs across every repository. It then runs the feasibility analysis, technical design, and cross-repo impact assessment your team either skips or spends days on. Spec to PR. Every step informed by your actual codebase. AI Architect brings the same codebase context and operational history to every phase of development. Pre-coding, coding, and code review all draw from the same knowledge graph. Pre-coding Coding Code review Feasibility analysis AI Architect reads every spec against your live codebase and flags what is buildable, what needs rethinking, and what risks exist. Output: Feasibility report with gaps, risks, and recommended approach. Technical design AI Architect drafts a technical design document grounded in your service topology, existing patterns, and operational history. Output: Technical design with implementation approaches, effort estimates, and flagged landmines. Cross-repo impact assessment AI Architect maps every service, API, and dependency a change will affect across all repositories. Output: Impact map with affected services, APIs, and risk signals. Epic breakdown AI Architect breaks every epic into Jira-ready stories with enough context for a developer to act without another meeting. Output: Story breakdown with implementation context per ticket, posted directly in Jira. 60-70% Of an architect's week, in one session Every engineer Same system knowledge Grounded code generation One-shot production-ready code, grounded in your actual service patterns and APIs. Accelerated onboarding New engineers ask system-level questions in their coding agent. AI Architect answers from the live knowledge graph. Production issue triage Trace failures through your service topology. Surface root cause without hours of manual investigation. 39% Higher task success 5-9x Faster task completion 50% Faster onboarding Read SWE-Bench Pro report AI Code Reviews Get codebase-aware pull request reviews and cross-repo impact analysis in every PR. Catch bugs, issues, and downstream risk before they reach production. Available directly in: GitHub, GitLab, or Bitbucket. 89% Faster PRs 34% Fewer regressions Deploy AI Architect Get a demo How Bito works Bito goes behind traditional embeddings to index your entire system as a dynamic knowledge graph. 
From repos to modules to APIs and libraries, Bito can deeply understand context and intent — the how and why something is implemented in your codebase. Learn more No code storage or model training Your code stays yours. No code is stored. No model is trained. End-to-end data encryption Runs on-prem or in the cloud. All data in transit and at rest is encrypted end-to-end. Enterprise-ready SOC 2 Type II certified. Built for teams with strict security and compliance requirements. From engineering teams What used to require pulling senior engineers off their work to walk someone through the system is now handled by AI Architect. Case study AI Architect changed how we start every feature. Our engineers come to planning with a grounded technical design already in hand, not a blank page. Teams felt a difference immediately and started saving 30% to 35% of human hours spent in code review each week. Bito’s feedback doesn’t just highlight issues. It provides context and impact, which motivates developers to improve. Case study Submitters fix most issues before I even see the code, and reviews often take just 10 to 20 minutes instead of an hour. Case study Backed by Eniac, NGP Capital, Vela Partners, and NextView Ventures. We’re built with from around the world. Frequently asked questions What is the context layer for engineering? A context layer is a live, structured understanding of your entire engineering system, how your repositories, services, APIs, and dependencies connect and interact. Without it, AI coding agents work on isolated files with no understanding of system-level impact. With it, every technical decision, from feasibility analysis to code generation to code review, is grounded in how your system actually works. What is Bito’s AI Architect? AI Architect is the context layer for your engineering workflow. It builds a knowledge graph of your codebase and operational history, delivering that context through agent skills in Jira, via MCP in your AI coding agent, and across your Git provider for codebase-aware code reviews. How are Bito’s AI code reviews different from other AI code review tools? Most code review tools analyze only the files in the diff. Bito’s AI Code Reviews use AI Architect’s knowledge graph to review every pull request in the context of your full system. That means cross-repo impact analysis, dependency awareness, and blast radius detection, catching issues before they merge rather than after they surface in production. How does Bito index large or multi repo codebases? AI Architect builds a connected knowledge graph across all your repositories, mapping symbols, modules, APIs, and dependency flows. It also indexes your operational history from Jira, capturing past decisions, incident patterns, and system behavior. Both update dynamically as your code and tickets change, so the context your team works from is always current. How does Bito handle security, privacy, and deployment? Bito supports cloud and on-prem deployment. Your code is never stored and never used to train models. Bito is SOC 2 Type II certified and designed for enterprise grade security and compliance. Architect-level intelligence for every engineer AI Architect makes system-level knowledge available to your entire team, from spec to pull request. Start free Get a demo --- Skip to content Plans and pricing Team $15 $15 $12 monthly per seat up to 25 seats per team Monthly Annual Purchase now Everything in Free, plus AI Code Reviews in Git Line-by-line reviews Unlimited repos and PRs Supports Enterprise plans for GitHub, GitLab, and Bitbucket Codebase aware feedback (learn more) AI-powered code suggestions 1-click apply for AI fixes Code review analytics AI Code Reviews in IDE Run reviews locally, pre-PR Supports VS Code, JetBrains IDEs, Cursor, Windsurf Review local, staged, committed changes Essential, Comprehensive review modes AI Code Reviews in CLI Run reviews locally from the terminal Integrates with AI coding agents like Cursor, Claude Code Recommended plan Professional $25 $25 $20 monthly per seat unlimited seats Monthly Annual Start free trial 👉 No credit card required Everything in Team, plus AI Code Reviews in Git Custom review guidelines (learn more) Jira integration (learn more) Code reviews in CI/CD pipelines Self-hosted for $5 per seat a month Learning system that adapts to your team's preferences AI Code Reviews in IDE Increased code review limits in your IDE Enterprise Custom pricing Contact us Everything in Professional, plus AI Code Reviews in Git Bito's AI Architect powers impact analysis across multiple repositories (learn more) Code reviews in CI/CD pipelines Confluence integration (learn more) On-prem or self-hosted Multi-org support Customer support Dedicated Slack with Bito team Dedicated CSM SLA support Agreement redlines Custom invoicing and payment terms Security and compliance Role-Based Access Control (RBAC) SSO, SCIM, and SAML (Coming soon) Audit Logs (Coming soon) AI Architect Free for teams up to 5 engineers For larger teams, contact us for pricing Learn more Get started Features System intelligence for coding agents Engineering knowledge graph of your codebase Grounded code generation System-aware code reviews Enterprise-ready Available as MCP server integrates with tools like Claude, Cursor, Codex On-prem and self-hosted Bito Cloud (Coming soon) Compare plans TeamPurchase now ProfessionalStart free trial Enterprise Contact us Products AI Code Reviews in Git AI Code Reviews in IDE AI Code Reviews in CLI Security Bito does not store your code No AI model training Encrypted data during transit SSO, SCIM, and SAML Coming soon Audit logs Coming soon AI Code Reviews in Git Integrations GitHub, GitHub Enterprise, GitLab, GitLab Enterprise, Bitbucket, Bitbucket Enterprise GitHub, GitHub Enterprise, GitLab, GitLab Enterprise, Bitbucket, Bitbucket Enterprise, Jira GitHub, GitHub Enterprise, GitLab, GitLab Enterprise, Bitbucket, Bitbucket Enterprise, Jira, Confluence Deployment Bito cloud Bito cloud or self-hosted Bito cloud or self-hosted CI/CD pipeline Multi-org support Core features Pull request summaries AI Architect Understands various repos and builds a knowledge graph of your repos, modules, services AI that understands your code Understands your full codebase Impact analysis across codebase, services, modules Upstream, downstream impact analysis See which files/functions are affected by a PR Changelist Summarized list of changes and impacted files 1 click to accept suggestions Analytics In-depth individual and team-wide code review analytics Chat with Bito Agent Ask the Agent follow-up questions about its review Custom review guidelines Auto-learn from feedback Agent learns from your feedback to improve future reviews Jira integration Validates PRs against Jira tickets to ensure project spec alignment Confluence integration Validates PRs against linked Confluence docs Customizable review types (security, performance, scalability, etc.) SAST and other built-in checks Static analysis, security analysis, and linter support Incremental code reviews Support 24 hour response time on business days 24 hour response every day Dedicated Slack with Bito team Dedicated CSM SLA support Custom invoicing and payment terms Administration Workspace for teams Seat management Team management Team Professional Enterprise TeamPurchase now ProfessionalStart free trial Enterprise Contact us Products AI Code Reviews in Git AI Code Reviews in IDE AI Code Reviews in CLI Security Bito does not store your code No AI model training Encrypted data during transit SSO, SCIM, and SAML Coming soon Audit logs Coming soon AI Code Reviews in Git Integrations GitHub, GitHub Enterprise, GitLab, GitLab Enterprise, Bitbucket, Bitbucket Enterprise GitHub, GitHub Enterprise, GitLab, GitLab Enterprise, Bitbucket, Bitbucket Enterprise, Jira GitHub, GitHub Enterprise, GitLab, GitLab Enterprise, Bitbucket, Bitbucket Enterprise, Jira, Confluence Deployment Bito cloud Bito cloud or self-hosted Bito cloud or self-hosted CI/CD pipeline Multi-org support Core features Pull request summaries AI Architect Understands various repos and builds a knowledge graph of your repos, modules, services AI that understands your code Understands your full codebase Impact analysis across codebase, services, modules Upstream, downstream impact analysis See which files/functions are affected by a PR Changelist Summarized list of changes and impacted files 1 click to accept suggestions Analytics In-depth individual and team-wide code review analytics Chat with Bito Agent Ask the Agent follow-up questions about its review Custom review guidelines Auto-learn from feedback Agent learns from your feedback to improve future reviews Jira integration Validates PRs against Jira tickets to ensure project spec alignment Confluence integration Validates PRs against linked Confluence docs Customizable review types (security, performance, scalability, etc.) SAST and other built-in checks Static analysis, security analysis, and linter support Incremental code reviews Support 24 hour response time on business days 24 hour response every day Dedicated Slack with Bito team Dedicated CSM SLA support Custom invoicing and payment terms Administration Workspace for teams Seat management Team management TeamPurchase now ProfessionalStart free trial Enterprise Contact us Products AI Code Reviews in Git AI Code Reviews in IDE AI Code Reviews in CLI Security Bito does not store your code No AI model training Encrypted data during transit SSO, SCIM, and SAML Coming soon Audit logs Coming soon AI Code Reviews in Git Integrations GitHub, GitHub Enterprise, GitLab, GitLab Enterprise, Bitbucket, Bitbucket Enterprise GitHub, GitHub Enterprise, GitLab, GitLab Enterprise, Bitbucket, Bitbucket Enterprise, Jira GitHub, GitHub Enterprise, GitLab, GitLab Enterprise, Bitbucket, Bitbucket Enterprise, Jira, Confluence Deployment Bito cloud Bito cloud or self-hosted Bito cloud or self-hosted CI/CD pipeline Multi-org support Core features Pull request summaries AI Architect Understands various repos and builds a knowledge graph of your repos, modules, services AI that understands your code Understands your full codebase Impact analysis across codebase, services, modules Upstream, downstream impact analysis See which files/functions are affected by a PR Changelist Summarized list of changes and impacted files 1 click to accept suggestions Analytics In-depth individual and team-wide code review analytics Chat with Bito Agent Ask the Agent follow-up questions about its review Custom review guidelines Auto-learn from feedback Agent learns from your feedback to improve future reviews Jira integration Validates PRs against Jira tickets to ensure project spec alignment Confluence integration Validates PRs against linked Confluence docs Customizable review types (security, performance, scalability, etc.) SAST and other built-in checks Static analysis, security analysis, and linter support Incremental code reviews Support 24 hour response time on business days 24 hour response every day Dedicated Slack with Bito team Dedicated CSM SLA support Custom invoicing and payment terms Administration Workspace for teams Seat management Team management TeamPurchase now ProfessionalStart free trial Enterprise Contact us Products AI Code Reviews in Git AI Code Reviews in IDE AI Code Reviews in CLI Security Bito does not store your code No AI model training Encrypted data during transit SSO, SCIM, and SAML Coming soon Audit logs Coming soon AI Code Reviews in Git Integrations GitHub, GitHub Enterprise, GitLab, GitLab Enterprise, Bitbucket, Bitbucket Enterprise GitHub, GitHub Enterprise, GitLab, GitLab Enterprise, Bitbucket, Bitbucket Enterprise, Jira GitHub, GitHub Enterprise, GitLab, GitLab Enterprise, Bitbucket, Bitbucket Enterprise, Jira, Confluence Deployment Bito cloud Bito cloud or self-hosted Bito cloud or self-hosted CI/CD pipeline Multi-org support Core features Pull request summaries AI Architect Understands various repos and builds a knowledge graph of your repos, modules, services AI that understands your code Understands your full codebase Impact analysis across codebase, services, modules Upstream, downstream impact analysis See which files/functions are affected by a PR Changelist Summarized list of changes and impacted files 1 click to accept suggestions Analytics In-depth individual and team-wide code review analytics Chat with Bito Agent Ask the Agent follow-up questions about its review Custom review guidelines Auto-learn from feedback Agent learns from your feedback to improve future reviews Jira integration Validates PRs against Jira tickets to ensure project spec alignment Confluence integration Validates PRs against linked Confluence docs Customizable review types (security, performance, scalability, etc.) SAST and other built-in checks Static analysis, security analysis, and linter support Incremental code reviews Support 24 hour response time on business days 24 hour response every day Dedicated Slack with Bito team Dedicated CSM SLA support Custom invoicing and payment terms Administration Workspace for teams Seat management Team management Frequently asked questions How does Bito’s AI Code Review Agent pricing work under each plan? Team Plan $15 per developer per month (billed monthly) or $12 per developer per month (billed annually).Includes up to 25 developer seats per team.A seat is counted when a developer’s pull request is reviewed by Bito.You can manually assign or unassign seats in your Bito dashboard anytime.Professional Plan$25 per developer per month (billed monthly) or $20 per developer per month (billed annually).Unlimited seats.Includes everything in the Team plan plus custom review guidelines, Jira integration, CI/CD pipeline reviews, optional self-hosted deployment ($5/user/month) and a learning system that adapts to your team’s preferences.Enterprise PlanCustom pricing based on organization needs.Includes everything in Professional, plus advanced capabilities like Bito’s AI Architect, impact analysis across codebases and modules, Confluence integration, on-prem or self-hosted options, multi-org support, dedicated CSM, onboarding, and SLA support. How does seat management work? By default, all Git handles contributing to a repository are unassigned. You have full control to assign or unassign seats manually from your Bito dashboard. Only assigned users will be billed, and you can update these assignments at any time. Is there a free trial? Yes, you can try the Professional Plan free for 14 days. No credit card is required to get started. During the trial, you’ll get full access to all Professional Plan features, including codebase aware pull request reviews, custom review guidelines, Jira integration, changelists, AI-powered fix suggestions with 1-click apply, and code review analytics. What’s included in the Professional Plan? The Professional Plan is designed for growing teams that need deeper automation, integration,and collaboration. It includes:Everything in the Team PlanCustom review guidelines to tailor AI feedback to your org’s coding standardsJira integration to validate PRs against specsCI/CD pipeline reviews for automated checks during deploymentOptional self-hosted deploymentLearning system that adapts to your team’s preferencesHigher review limits within IDEs (VS Code, JetBrains, Cursor, Windsurf) When will I be billed? Billing starts as soon as you activate a plan.Monthly plans: charged for the current month (pro-rated if mid-month).Annual plans: charged once per year at the discounted rate. Can I pay annually and get a discount? Yes. Annual plans come with discounted pricing:Team Plan: $12/month (vs $15)Professional Plan: $20/month (vs $25)You can switch to annual billing directly from your dashboard or contact support for custom annual or enterprise agreements. Can I cancel or change my plan anytime? Yes, you can cancel, downgrade, or upgrade your plan at any time. Your current plan stays active until the end of the current billing cycle. Refunds are not issued for partial months. Enterprise customers can contact support for adjustments. Privacy Does Bito store my code? No, Bito does not store or train models on your code. It only analyzes pull request data in real-time and provides suggestions directly within the PR. Can I choose which repositories Bito has access to? Yes, after installation, you can select specific repositories instead of granting access to all. You can also manage repository access later through our web dashboard. How is the data in Bito shared? Bito does not share your data with anyone outside of your organization. Your code is not stored by Bito, it is not used for AI model training, and no data is sold to anyone, including on the Free plan. Your organization does have access to your usage data of Bito, but other non-admin users in your organization do not have access to even your usage data. How are the transmitted snippets of code data protected? We know that user actions related to code, source code snippets, and URLs of repositories and file paths are sensitive data. We apply several measures of protection, including: The transmitted data is encrypted both in transit and at rest. Data is encrypted in transit using TLS, and at rest using Amazon Web Services data encryption. No code data is stored on Bito’s servers or AI partners (OpenAI, Anthropic) servers. Role-based access controls are required for anyone in your organization to access any of your data related to your usage of Bito. Will my private code be shared with other users? Absolutely not. None of your code data is stored by Bito and is not accessible to any other users. Where can I learn more about Bito privacy and data protection? For details on how we handle privacy and data, visit our Privacy & Security documentation. Terms and data policies are also outlined in our Terms of Use. Still have questions? Get in touch --- Skip to content About Us We believe that developers are driving the innovations of the future We're here to accelerate that! Message from the founders Using AI to super charge your development, every day! We believe that the future of innovation lies in the hands of talented dev teams that bring concepts and ideas to life. From handling huge data sets to flying cars to web3, dev teams will be the master masons behind intelligent software that powers mankind’s greatest inventions.We believe AI can be a powerful supercharger to supercharge productivity as devs innovate the future. We’re reimagining software development to make dreams a reality through AI-driven development. We believe this can dramatically accelerate the impact a new or even an experienced developer can have and be the key to faster output, fewer bugs, and more time spent on critical thinking and less time on menial work.Everything we do here at Bito is to empower dev teams to be at their best every day, so they can go ahead and build the world of tomorrow.Jump aboard, let’s go! Amar, Anand & Mukesh Co-founders of Bito Meet the founders Our founders have started, built, and taken PubMatic public, a company worth over US $2 billion. We are looking to take our learnings, learn a lot along with you, and do something even more exciting this time. Amar Goel Co-founder and CEO Twitter Linkedin A serial entrepreneur, Amar co-founded Bito in 2021 with Anand and Mukesh and is CEO. Developers are one of the biggest forces to change this world and make all the innovation we dream up possible, so tools to help them work faster and better help the whole world!Prior to this, Amar founded PubMatic in 2006, serving as the company’s first CEO. PubMatic went public in 2020 and currently trades on the NASDAQ stock exchange: PUBM.In addition to PubMatic, Amar also founded several other companies, including Komli Media, the leading independent advertising technology platform in the APAC region. As a 19-year-old student at Harvard University, Amar co-founded Chipshot.com. Over five years he grew the business to approximately $30M in annual sales, making Chipshot.com the fastest-growing ecommerce website at that time. Amar has previously led sales for a digital advertising business for Microsoft in the US, and working at McKinsey & Co. and Netscape in a variety of consulting and engineering roles.He holds a master’s degree in Computer Science and a bachelor’s degree in Economics from Harvard University. Anand Das Co-founder and CTO Twitter Linkedin Anand is co-founder and CTO of Bito.Formerly, he was CTO at Eyeota which was acquired by Dun & Bradstreet for $165M in 2021. He led the company’s technical strategy, product innovation and spearheaded the development of Eyeota audience technology platform.Prior to joining Eyeota, Anand co-founded and was CTO of of PubMatic in 2006, which went public in 2020 (NASDAQ: PUBM). Anand was responsible for establishing the company’s technical vision, innovating on incredible technical complexity, and positioning PubMatic for future growth. He led the building of software systems handling over 300 billion ad auctions per day that generate over 100 terabytes of data per day across a global cloud network owned and provisioned by PubMatic.Prior to PubMatic, he held various engineering roles at Panta Systems, a high-performance computing startup led by the CTO of Veritas, and at Veritas and Symantec, where he worked on a variety of storage and backup products.Anand has seven patents to his name in systems software, storage software, advertising and application software. Anand also served on the IAB tech lab board of directors from 2015 to 2018 and is on the board of TruckX and an advisor to Lemma Technologies a DOOH startup and AmplifyReach a conversational automation platform.He holds a master’s and bachelor’s degree in Computer Science from the University Of Pune, India. Mukesh Agarwal Co-founder and Product Head Twitter Linkedin Mukesh is Co-Founder and Chief Product Officer at Bito. He is passionate about building simple, intuitive, and powerful products to delight customers.Formerly, he was a Partner at Ernst & Young where he founded a product incubation lab, ideating and launching enterprise products for the company’s Customer Experience & Growth practice.Mukesh has two decades of product and engineering leadership experience in enterprise SaaS. He was CEO and Co-Founder of RevX, an e-Commerce advertising platform, which was acquired by Affle.Prior to RevX, he headed Product Management at Komli Media, a leading digital advertising company in APAC.Mukesh spent the early part of his career at Microsoft leading engineering and product management in Outlook, Dynamics CRM, and Bing product groups.Mukesh holds a BS/MS in Computer Science and MBA from the Wharton School. He is an avid yoga and meditation practitioner. He loves to cook and mix cocktails. Vision We believe in developers to drive the innovations of the future If you want to go fast, go alone. 
If you want to go far, go together Mission Enable developers to innovate at the speed of thought Join our team! We’re looking to grow our team and meet interesting people. If you like what we’re doing at Bito and want to be a part of this exciting mission, we’d love to talk with you. Check out our careers page --- Skip to content AI Architect tops SWE-Bench Pro 39% higher task success Evaluated on real-world codebases See results Get a demo Blog posts / Updated March 25, 2026 Meet Bito’s AI Architect, Deep Codebase Context for AI Coding Agents Table of Contents We’re thrilled to introduce you to Bito’s AI Architect. It’s a new type of agent that is available today via MCP in tools like Claude, Cursor, and Codex. Growing, complex codebase needs engineers that understand how the whole system works. That is why teams rely on architects. They deeply understand your codebase. They know where the risks sit, and understand how all the pieces connect. They hold that mental map that everyone depends on. Bito’s AI Architect builds that knowledge graph, then makes it accessible to developers, like you. This knowledge graph becomes codebase intelligence that engineers and AI agents rely on to reason about real system behavior, dependencies, and impact across the entire codebase. It learns your codebase repo by repo, whether you have 50 repos or 5,000. It understands your APIs, modules, technology, and how everything fits and works together. AI Architect makes that system view available through MCP so your tools and coding agents work with accurate context instead of guesswork. Try AI Architect Get a demo What you can do with AI Architect Today marks just the beginning  This is the first step for the AI Architect and its capabilities will expand quickly. The AI Architect supports the following workflows: 1-shot production-ready code: Your coding agents receive API contracts, schemas, patterns, examples, and call flows from the knowledge graph. This lets Cursor and Claude write grounded, system aligned, production ready code. Watch the demo: Production-ready code generation with AI Architect. Spec-driven development: Automatically generate highly detailed, implementation-ready technical requirement documents (TRDs) and low-level designs (LLDs) with a deep, context-aware understanding of your codebase. Learn more about Spec-driven development with AI Architect. Triaging production issues: Easily and quickly find root causes to production issues based on errors/logs/etc. See how you can troubleshoot production issues with AI Architect. API and library discovery: Ask for an endpoint and get its contract, schema, examples, and every place it is used across the system. Workflow understanding: Ask how a feature works and get the call chain across services and modules. System diagrams and structure: Generate updated dependency diagrams and readmes that reflect your current state, not outdated docs. Onboarding with actual system context: A new engineer can easily ask and get answers about various parts of your codebase, without having to read through code or ask other engineers. Bito’s on-prem version has full code access to be able to show you specific lines of code as well. Smarter agents in your IDE: Cursor and Claude pull context through MCP and answer with details from your own code, not a generic guess. Watch the demo to see how it works: How AI Architect works Bito’s AI Architect builds a knowledge graph of your codebase by indexing your repositories and exposing that information through MCP. Here’s how: 1. Code indexing The AI Architect reads every repository and pulls out the structure and behavior of your code. It understands file layouts, symbols, classes, functions, signatures, coding patterns, execution flows, cross references, and database schemas. This gives it a clear view of how each module is written and how its components work. 2. Capturing edges across repositories The AI Architect learns how your services interact across repos. It records every API call, where it happens, the full request and response schemas, streaming behavior, example payloads, and the internal flow of each endpoint. This reveals how information moves across your system. 3. Building a system knowledge graph The AI Architect links all repo-level data and cross-repo edges into a connected graph that reflects your architecture. It captures service boundaries, call paths, interface contracts, and upstream or downstream impact. This becomes the system map that engineers and coding agents use to reason about changes. 4. Serving through MCP MCP makes the knowledge graph available to coding agents. Tools like Cursor and Claude Code can list repos, search across your workspace, pull API schemas and call flows, and fetch any system detail they need. Every answer they receive comes from the indexed structure of your codebase, not guesswork. Get started This first version of AI Architect is ready for teams that want system context inside their tools. You can set it up through MCP, connect it to your repos, and start working with a real map of your system. Follow the setup steps in the documentation and begin using AI Architect with your own codebase. Try Bito’s 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.” – Prashant, Founder & CTO Privado Amar Goel Bito’s Co-founder and CEO. Dedicated to helping developers innovate to lead the future. A serial entrepreneur, Amar previously founded PubMatic, a leading infrastructure provider for the digital advertising industry, in 2006, serving as the company’s first CEO. PubMatic went public in 2020 (NASDAQ: PUBM). He holds a master’s degree in Computer Science and a bachelor’s degree in Economics from Harvard University. Amar Goel Amar is the Co-founder and CEO of Bito. With a background in software engineering and economics, Amar is a serial entrepreneur and has founded multiple companies including the publicly traded PubMatic and Komli Media. Written by developers for developers This article is brought to you by the Bito team. See how Bito enables 1-shot, production-ready AI code Latest posts Introducing AI Architect for Technical Design and Planning Why Coding Agents Get Lost in Your Codebase (Even After Indexing Everything) The TPUT Implementation Claude Code Got Wrong and AI Architect Got Right How to Integrate Bito’s AI Architect with Claude Code How to Integrate Bito’s AI Architect with Cursor Top posts Introducing AI Architect for Technical Design and Planning Why Coding Agents Get Lost in Your Codebase (Even After Indexing Everything) The TPUT Implementation Claude Code Got Wrong and AI Architect Got Right How to Integrate Bito’s AI Architect with Claude Code How to Integrate Bito’s AI Architect with Cursor From the blog The latest industry news, interviews, technologies, and resources. Development with Bito Introducing AI Architect for Technical Design and Planning Updated March 25, 2026 Artificial Intelligence Why Coding Agents Get Lost in Your Codebase (Even After Indexing Everything) Published March 13, 2026 Artificial Intelligence, Development with Bito The TPUT Implementation Claude Code Got Wrong and AI Architect Got Right Published March 12, 2026 View all posts