From question to decision before your next meeting.
Ask Claude, ChatGPT, or GitHub Copilot about your engineering organization, from its teams and people to what changed, and get answers you can act on. Code Climate gives the AI you already use the context it needs.
The payments migration isn’t done: it’s 94% complete, and Jordan is still working on the legacy service shutdown, due November 15. Dana, the Payments manager, closed the cutover epic in August and set that date.
Mobile v3 is the only initiative behind its Q4 date, and Priya, whose Payments work ended at cutover, has shipped to Mobile before. You can move Priya now and Jordan after November 15, or move them together once the shutdown is done. Here’s what you need for the 9 a.m. staff meeting:
| A | B | C | D | E | F | |
| 1 | Work | Status | Done | Left | Owner | Picks up |
| 2 | PAYMENTS · STILL FINISHING | |||||
| 3 | Legacy payment shutdown | In progress | 31 | 2 | Jordan | Jordan · until Nov 15 |
| 4 | MOBILE V3 · BEHIND ITS Q4 DATE | |||||
| 5 | Offline mode | Done | 14 | 0 | Sam | — |
| 6 | Push notifications | Done | 10 | 0 | Alex | — |
| 7 | Mobile checkout | In progress | 9 | 11 | Sam | — |
| 8 | Account settings | In progress | 5 | 12 | Alex | Priya · now |
| 9 | Tablet layout | Not started | 0 | 18 | — | Jordan · after Nov 15 |
| 10 | Mobile v3 total | 48% done | 38 | 41 | ||
- Claude
- ChatGPT
- GitHub Copilot
- Other AI tools
- SOC 2 Type II
- SSO
- Role-based access
Your teams ship faster with AI. Your decisions still stall in a chain of handoffs.
It takes four people to pull together the data for one simple decision, and each one narrows the question. The context that matters doesn’t survive the handoffs.
You ask once and walk into your next meeting with a decision.
It takes four people to pull together the data for one simple decision, and each one narrows the question. The context that matters doesn’t survive the handoffs.
- VP · Mon 10:47 p.m.“The payments migration is done. Where should those engineers go in Q4?”
- Director · Tue 9:12 a.m.“Which Q4 initiatives need more engineers?”
- Manager · Wed 9:40 a.m.“Can you pull story points by epic?”Dana runs Payments and knows Jordan isn’t done. Nobody asks.
- Analyst · Wed 4:15 p.m.“Here’s a dashboard of story points by epic.”
- VP · Thu 4:55 p.m.“How does this help me reassign engineers?”
You ask once and walk into your next meeting with a decision.
Your AI is confident, but it doesn’t have the context to be correct.
The payments migrationisn’t done: Jordan is closing out the legacy service until Nov 15. Acrossyour teams, Mobile v3 is the only initiativebehind its Q4 date. Priya is free andhas shipped to Mobile before.
The migration isn’t done
Dana, the Payments manager, closed the migration epic in August, then recorded a November 15 shutdown for the legacy service in Code Climate. Jordan is assigned to the shutdown until then.
Without it: your AI takes “the migration is done” at face value and recommends moving both engineers, so the shutdown slips.
How it works
Connect your tools once. Every AI you use gets the same model of your organization.See how it worksWhat it takes to build it yourself
Wiring your AI to GitHub takes an afternoon. Keeping it correct through every reorg and new hire is the real work.Why Code ClimateSecurity
See how we scope every answer, protect your data, and work with your security team.Security detailsMake faster, more accurate decisions about your engineering organization.
Your teams started working differently the day they got AI. Your week hasn’t changed yet: you still learn what’s happening in status meetings, and answers still take days to travel up a chain of people. Leading an AI-native organization means getting those answers yourself, in minutes, and spending your week on the calls only you can make.
We’ve seen this kind of shift before. Our leadership came out of Pivotal, where we helped large organizations through agile, then cloud. And since 2011, thousands of engineering leaders, from startups to the Fortune 10, have used Code Climate as their organizations shipped, reorganized, and changed tools.
With agile and cloud, teams changed how they built software years before leaders changed how they planned, staffed, and budgeted. With AI, teams are moving faster than ever. Leaders must change how they work to keep up.
- 2011Code Climate foundedWe started with automated code review, so engineering teams could see the quality of their code.
- 2018We began modeling how engineering organizations workCode Climate was one of the first products to connect people, teams, and delivery data for engineering leaders.
- NowThe engineering context your AI is missingFifteen years of it, now in Claude, ChatGPT, GitHub Copilot, and other AI tools.
The leaders keeping pace with AI-native teams decide in minutes, not days.
Ask your AI a question in the demo organization and see the answer arrive in minutes. When you’re ready to explore your own data, reach out to request early access.
Common questions
What do I need for the demo?
You need an email sign-in and Code Climate added to your AI as an MCP server. The demo page walks you through both.
Which AI tools does it work with?
It works with Claude, ChatGPT, GitHub Copilot, and any other AI tool that supports MCP.
What does setup take for my organization?
Start by requesting early access. Then an admin connects the tools you use, such as GitHub, Bitbucket, Jira, Linear, and your AI coding tools. Each leader adds Code Climate to their AI in about a minute.
Who can see what?
Every answer matches what the person asking can access: their teams, their reports, the Exhibits shared with them. Code Climate uses role-based access and SSO, and it’s SOC 2 Type II.
Do I need to replace my engineering analytics tool?
No. Code Climate gives your AI the context behind your organization, and it works alongside the tools you already have.
What does it cost?
You pay per leader, from the same budget as your other AI tools. We’ll discuss pricing as part of early access.