For engineering teams of 5 to 50

AI for Developers Who Read More Than They Write

Most AI for developers writes new code. Codebasechat answers questions about the code you already have, with the file and the line.

Start free See how it works

Developer at a desk with a laptop and monitor showing code in morning light

Where developers stand

Adoption is high. Trust is not.

84%

of respondents use or plan to use AI tools in development (Stack Overflow 2025)

51%

of professional developers use AI tools every day (Stack Overflow 2025)

46%

say they distrust the accuracy of AI tools, against 33% who trust it (Stack Overflow 2025)

The jobs that matter

What developers actually need from AI

Six questions that eat hours in every team, and that a code generator cannot answer.

Find where X lives

Ask where billing retries or session expiry are implemented. Get the file and line instead of a grep session across forty folders.

Learn the local conventions

See how errors, logging and config are handled in the service you are editing, so new code follows the pattern already in place.

Follow calls across repos

Trace a function through a monorepo or six separate repos before you change its signature and break a caller you never saw.

Ramp new hires faster

A junior can ask the repo the questions they hesitate to ask a teammate, and get answers that match your code, not generic docs.

Docs that stay current

Architecture notes regenerated on each push, so the map of how a service is wired is never three quarters old.

Context for reviewers

A summary of what a pull request touches and which call sites it affects, so review time goes where the risk is.

Workflow

From connected repo to confident change

Four steps. No migration, and nothing to rewrite in your current setup.

1

Connect your repos

Point codebasechat at your Git provider with read-only access. On the self-hosted plan, code never leaves your infrastructure.
2

Ask in plain English

Where is auth wired? Which module owns invoices? You get the file, the line and the reasoning, in VS Code or JetBrains.
3

Take the answer into your tool

Paste the helper name or convention into Cursor, Copilot or Aider. Your generator now works from your code instead of a guess.
4

Review with the full picture

Open the pull request and read the affected call sites first. Spend human attention where the change can break something.

Architecture

Understand a service before you touch it

Every team has a service that one person understands. When that person is out, a two-line change takes a day, because nobody knows what depends on it. Ask codebasechat how the service is wired and which parts call it. You get an answer grounded in the repo, with links to the files. It will not write the change for you. It makes sure the change you write is the right one.

Answers point to the actual file and line, not a stale wiki page
Works on a repo you did not write and have not read yet
Shows dependencies across packages and repositories

Try it on one repo

Two engineers sketching a service architecture on a whiteboard

Onboarding

Shorten the first two weeks of a new engineer

The slow part of onboarding is not setup, it is the hundred small questions about how things work here. Each one interrupts a senior engineer for ten minutes. Give newcomers a place to ask the repo directly. Seniors keep their focus, and the new hire builds a mental model from real answers instead of a stale document.

Questions answered without pinging a teammate
Answers cite the source so juniors learn where to look next
Measure it: days to first merged pull request

Junior and senior developer looking at code together on a laptop

Code review

Review large diffs without reading blind

A 40-file diff is where review quality drops, because every line looks reasonable on its own. Codebasechat summarizes what a change touches and which parts of the codebase it depends on. A reviewer unfamiliar with the area knows where to look first. It narrows where human review has to happen. It does not replace it, and the merge decision stays with you.

Surfaces call sites a change affects, even across repos
Flags code that has had no recent owner
Keeps the human decision on the merge

Developer reviewing a code diff on a large monitor in the evening

Different jobs

Code generators write. Codebasechat explains.

They are complements. The table shows which job each is built for.

Job	Codebasechat	Typical AI code generator
Writes new code from a prompt	No	Yes
Answers where X is implemented, with file and line	Yes	Partial, depends on open files
Reasoning across several repos	Yes, on Pro	Varies by tool and plan
Summarizes what a pull request affects	Yes	Rarely
Architecture docs refreshed on each push	Yes	No
Self-hosted or VPC option	Yes, on Team	Varies by tool

Pricing

Three tiers. No seat minimum on the free plan.

Free

$0

For individuals trying it on one repo

1 repo indexed
50 questions per month
IDE extension for VS Code and JetBrains
Community support

Start free

Pro

$24 /mo per seat

For teams of 5 to 50

Unlimited repos, multi-repo reasoning
Unlimited questions
Auto-generated architecture docs
PR context for reviewers
Slack integration
Priority support

Start 14-day trial

Team

Custom

For 50+ engineers or regulated environments

Self-hosted or VPC deployment
SSO and audit logs
Dedicated onboarding
SLA-backed support

Talk to sales

Common questions

What does AI for developers actually cover?

It covers three jobs: writing code (Copilot, Cursor, Aider), reviewing code, and understanding code that already exists. Most teams adopt the first one and stall on the third. Codebasechat is built for the third job: answering where something is implemented, how it is wired, and what a change touches.

Is AI for developers worth it for a team of 5 to 50?

Usually yes, if you pick the job before the tool. Writing tools help individuals immediately. Understanding tools help most when people join, switch services, or review unfamiliar code, which is where small teams lose the most hours. Measure time to first merged pull request for new hires, not a feeling of speed.

Does codebasechat write code for me?

No. It answers questions about your existing repos with the file, the line and the reasoning. You then take that answer into the editor or the generator you already use. That is deliberate: a tool that explains your code and a tool that writes new code fail in different ways, so we keep them separate.

Can I trust AI answers about my own code?

Trust the ones that point at a file and a line, and check them. In the Stack Overflow 2025 Developer Survey, 46% of developers said they distrust the accuracy of AI tools. Codebasechat cites the source location for every answer so you can open it and verify in seconds.

Does my code leave my infrastructure?

On the Free and Pro plans, codebasechat connects to your Git provider with read-only access. On the Team plan, you can run it self-hosted or inside your VPC, so code stays on your side. Check this with your security team before connecting anything, whichever tool you pick.

Which editors and Git providers work?

The extension runs in VS Code and JetBrains. Repos connect through your Git provider with read-only access. If your setup is unusual, start with one repo on the free plan and see whether the answers hold up on your real code.

How is it different from asking a chatbot about my code?

A general chatbot only sees what you paste in. Codebasechat indexes your repos, so it answers across files and services, and it refreshes on each push. The difference shows up on questions like which module owns sessions, or who calls this function across six repos.

What does it cost?

Free covers one repo and 50 questions a month. Pro is $24 per seat per month for unlimited repos and questions, with a 14-day trial. Team is custom, for 50+ engineers or regulated environments that need self-hosting, SSO and audit logs.

Ask your codebase its first question

Connect one repo on the free plan. If the answers do not hold up on your real code, you will know in an afternoon.

Start free See pricing