Atlas researches a third-party API for a Rust integration by leaving the crate when the answer is not in the crate. websearch finds the current documentation page, webfetch pulls it down with format markdown or text, and both sit behind explicit permission prompts so nothing is requested without your approval. The fetched signatures then drive the code Atlas writes into src/, so your structs and traits match the API as it exists in 2026 rather than as a model half-remembers it. You review the diff, run rustfmt, and prove the integration with cargo test.
How do you research a third-party API before integrating it in Rust?
Atlas researches a third-party API for Rust by calling websearch first, which injects the current year into its description so the model biases toward fresh sources in 2026, then webfetch to pull the documentation page. Only after the real signatures are in context does Atlas write into src/ and run cargo test.
Guessing an API from memory is expensive in every language, and it is especially expensive in Rust, where a wrong assumption about ownership or an optional field does not fail at runtime, it fails at cargo build with a wall of borrow-checker and type errors that take an hour to unwind. Atlas inverts the order. websearch locates the current documentation page for the API. webfetch pulls the page down, negotiating format markdown or text so the Accept header steers the server toward a compact representation instead of a megabyte of rendered HTML. With the real request shapes, field names, and error codes in context, Atlas writes the client module, and the types it declares in your crate reflect what the endpoint actually returns. The verification loop is the ordinary Rust one: rustfmt on the changed files, clippy for lints, and cargo test to prove the integration compiles and behaves.
What does webfetch do in a Rust crate, and can it read anything it wants?
webfetch in Atlas pulls 1 URL at a time and asks first. The webfetch permission prompt uses the URL as the pattern, so approval is per host and per page, not blanket network access. A Rust crate's source under src/ is never uploaded by webfetch, which only reads documentation into context.
Network tools are the place where an AI coding agent can do real damage, and Atlas treats them accordingly. Every Atlas tool call is permission-gated against allow, ask, and deny rules before it runs, and webfetch is no exception: the prompt shows the URL as the pattern before any request goes out, so the model cannot quietly exfiltrate context to arbitrary hosts. In practice, working in a Rust crate, you approve the vendor's docs domain and decline anything else. websearch is gated the same way. The format parameter matters more than it looks: passing format markdown or text asks the server for a compact representation, which keeps a long API reference from eating the context window you still need for src/lib.rs and your existing trait definitions. Nothing about webfetch reads or transmits your Cargo.toml, your cargo workspace, or your source.
How does Atlas turn fetched API docs into Rust code?
In 2026, Atlas turns fetched docs into Rust by writing against the real signatures with the write and edit tools, then checking the result against your crate's own conventions with grep. Atlas computes a unified diff for every file edit and surfaces it for approval, so nothing lands in src/ unreviewed.
The step people skip is the last one. A model can read an API reference and produce a client module that is technically correct and completely foreign to your crate: it invents its own error enum when the workspace already has one, it returns a bare Result where every other module returns your crate's aliased Result, it names a field differently from the rest of your domain types. Atlas's documented workflow ends with grep specifically to catch that. Grep the crate for the existing error type, the existing trait for outbound calls, the existing naming pattern, and match them before committing to a shape. Then the write and edit tools produce the new module, each edit surfaced as a unified diff you approve before it is written to disk. Run rustfmt on the result, work through any borrow-checker errors or clippy warnings with Atlas, and review the diff before cargo build.
How do you test a Rust API integration Atlas wrote from live docs?
Test a Rust API integration in 2026 with cargo test against the types Atlas derived from the fetched documentation. Because Atlas wrote the structs and traits from the real signatures rather than from memory, the first cargo build usually fails on your ownership choices, not on wrong field names, which is a much shorter debugging loop.
In a Rust crate the integration test surface is usually a module in src/ plus a matching #[cfg(test)] block or a file under tests/. Ask Atlas to write both against the fetched shapes: a deserialization test that pins the exact field names the documentation lists, and a behavior test for the error branch the documentation describes. cargo test is the arbiter. When something fails, the failure is now about Rust, not about the API contract, because the contract came from the live page. Atlas can pair on the borrow checker from there: ask it to fix borrow-checker errors or clippy warnings, review the diff it computes, and re-run cargo test. Add the dependency through cargo so Cargo.toml and the lockfile stay consistent with the cargo workspace, and keep the whole change on one branch, which Atlas can read, stage, and commit for you.
Why not just let the model recall the API from training data?
A model recalling a third-party API from training data in 2026 is recalling a snapshot, and API surfaces move. Atlas's websearch tool injects the current year into its description so the model biases toward fresh sources, and webfetch pulls the actual page, which is why the resulting Rust compiles against today's endpoint.
The failure mode of recall is quiet. A model does not tell you it is unsure whether a field is still called expires_at; it just writes it, your struct deserializes into None, and the bug shows up in production two weeks later. Rust catches a great deal at compile time, but it cannot catch a field name that is spelled consistently and consistently wrong. Fetching the page removes the guess. In Atlas the fetch is cheap, explicit, and permissioned: one websearch call, one webfetch call, one approval prompt showing the URL. The rest of the session runs entirely inside your crate with the ordinary tools, grep to match conventions, write and edit under diff approval, rustfmt to format, and cargo test to verify. Research once, against the real page, then write Rust that a compiler and a reviewer can both trust.
Step by step
- 01Start atlas in the crate that holds Cargo.toml so the index covers your modules, traits, and the rest of the cargo workspace.
- 02Ask Atlas to call websearch for the API's current documentation page; the tool injects the current year into its description, biasing the model toward fresh 2026 sources.
- 03Have Atlas call webfetch on the page, passing format markdown or text so the Accept header steers the server toward a compact representation.
- 04Approve the webfetch permission prompt, which shows the URL as the pattern before any request leaves your machine.
- 05Grep the crate for the existing error type, Result alias, and outbound-call trait so the new client matches your conventions instead of inventing its own.
- 06Let Atlas write the client module into src/ with the write and edit tools, and approve the unified diff it surfaces for each file.
- 07Add the dependency through cargo so Cargo.toml and the lockfile stay consistent, then run rustfmt on the changed files.
- 08Run cargo test to prove the integration deserializes the real field names and handles the documented error branch, asking Atlas to work through any borrow-checker or clippy failures.
Frequently asked questions
- Can Atlas read live API documentation before writing Rust code?
- Yes. Atlas calls websearch to find the current documentation page and webfetch to pull it into context, with format markdown or text for a compact representation. Atlas then writes the Rust client against the real signatures and verifies it with cargo test.
- Does Atlas send my Rust source code to a website when it fetches docs?
- No. webfetch pulls a URL into context and nothing more. Every Atlas tool call is permission-gated against allow, ask, and deny rules, and the webfetch prompt shows the URL as the pattern before any request goes out, so the model cannot quietly exfiltrate context to arbitrary hosts.
- How do I stop an AI agent from hallucinating a third-party API in my crate?
- Fetch the page instead of trusting recall. Atlas's websearch tool injects the current year into its description to bias toward fresh sources, and webfetch pulls the real reference, so the structs and traits written into src/ carry the documented field names and error branches.
- How does Atlas make a new Rust client match my existing crate conventions?
- Atlas greps the crate before committing to a pattern, matching your existing error type, Result alias, and outbound-call trait. Atlas also indexes code by AST declarations using tree-sitter, so codebase_search returns real declarations rather than arbitrary line windows.
- Can Atlas fix the borrow-checker errors in the integration it wrote?
- Yes. Ask Atlas to fix borrow-checker errors or clippy warnings, review the unified diff it computes for every file edit, run rustfmt, and check the result with cargo build and cargo test before you approve the change.
- Does Atlas add the dependency to Cargo.toml for me?
- Atlas adds dependencies through cargo so Cargo.toml and the lockfile stay consistent with your cargo workspace. Every command runs through a permission-gated tool call, so you approve the change before it touches your manifest.
- Can I roll back a Rust integration Atlas wrote if the API turns out to be wrong?
- Yes. Atlas snapshots file changes as git patches, so edits can be diffed and rolled back, and Atlas reads git branches, status, and diffs directly. A rejected integration in src/ can be reverted without leaving the terminal.
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