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SourceCraft Code Assistant

#255 overall#18 autonomous sweunverified row

Yandex's agent inside the SourceCraft code platform, taking a request from task to tested code to a deploy in Yandex Cloud

Key differences

Yandex's agent inside the SourceCraft code platform, taking a request from task to tested code to a deploy in Yandex Cloud

  • Runs cloud. Sold through the SourceCraft platform; Yandex publishes tariffs on the platform rather than a public USD price list
  • Supports headless CI workflows. Listed for 13 of 24 tools in this category.
  • Keep in mind: Yandex does not name the model behind the Code Assistant on the SourceCraft product page.

“It creates the task before it does the work, so it now files its own tickets, which is more process rigour than most teams manage.”

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What it is

SourceCraft is Yandex's software development platform, and its Code Assistant is built into the whole cycle. Beyond completion and suggestions, an agent mode takes a single user request and creates the task, writes the code, generates automated tests, runs a security check, prepares a pull request and triggers deployment to Yandex Cloud. The platform adds code navigation, secret scanning, dependency analysis and CI/CD.

Specification

Source verification

Row snapshot checked not yet. Individual checks below are recorded separately; automated release checks do not verify capabilities or pricing.

capabilities
Needs individual review
pricing
Needs individual review
install
Needs individual review

Architecture

Type
Autonomous SWE
Runssrc ↗
cloud
Platforms
web
Context windowunsourced
not documented
Languages
any

Models

Backboneunsourced
undisclosed
Bring your own model
No
Local models
No

Protocols

MCP clientunsourced
No
MCP server
No
OpenAPI tools
No

Capabilities

Terminal commandssrc ↗
No
Multi-file edits
Yes
Git operations
Yes
Browser control
No
Sandboxed execution
No
Multi-agent
No
Headless / CI
Yes

Cost

Modelsrc ↗
mixed
Starts at
n/a
Free tier
No
Bring your own key
No

Sold through the SourceCraft platform; Yandex publishes tariffs on the platform rather than a public USD price list

Openness

Open sourceunsourced
No
License
proprietary
First release
unknown
russiayandexcode-hostagent-modeci-cd

Los Agentes on SourceCraft Code Assistant

Who are they?
The ruling
El JuezThe judge

El Profesor and El Crítico converge from different directions on one sentence in the product description: the same agent writes the code, writes its tests and starts the deploy.

Avoid
Reasoning and trade-offs · AI analysis

El Crítico objects to the end of that chain, a deployment triggered by an agent with no documented human gate. El Profesor objects to the middle of it, tests authored by the author being treated as verification. They are describing one design flaw from two ends. La Jefa adds the procurement answer, which is that no price is published in a currency she can budget in.

There is no reading in which this wins. El Profesor's objection is structural and El Crítico's is operational, and neither is overruled by anything the other critics found. Avoid, unless your organisation is already committed to this platform, in which case the decision was never yours.

Agree with El Juez?
El AmigoThe friend

Pick this only if you already build and deploy on this vendor's cloud; pick GitLab Duo if you want the same one-platform story somewhere your team can actually buy it.

5.3
Reasoning and trade-offs · AI analysis

The trait that would decide it in daily use is that nothing leaves the platform. Navigation, secret scanning, dependency analysis and the build all sit beside the assistant, so the context it needs is already there and you are never gluing two products together. When that works it is genuinely pleasant.

It also means the tool is unavailable to you unless the whole platform is. Pick it if that decision is already made. Pick GitLab Duo for the same shape with a purchasing path most teams can follow.

reliability
5
usefulness
6
cost
5
longevity
5
Agree with El Amigo?
El CríticoThe critic

The advertised flow ends with the agent triggering a deployment, and nothing published describes a human gate between the generated change and production.

4.8
Reasoning and trade-offs · AI analysis

The failure mode is at the last step. A single request is described as producing a task, code, tests, a security check, a pull request and a deployment, and the only stated boundary is the pull request itself. Nothing says who approves, what blocks, or what happens when the security check disagrees with the change that just shipped.

What it does right is including that check at all. A scan inside the loop is better than a scan after it, even when the loop's stopping conditions are undescribed.

reliability
4
usefulness
5
cost
5
longevity
5
Agree with El Crítico?
El ProfesorThe professor

The agent generates the tests for the code it just wrote, which is not verification: it is the same model asserting its own output twice.

4.5
Reasoning and trade-offs · AI analysis
  1. Independence is the whole point of a test. When the artefact under test and the test itself come from one generation process, a shared misunderstanding of the requirement produces a green suite, and the failure is invisible precisely where it matters most.

  2. Nothing published addresses this, because nothing published describes the method at all. 3. The entire documentary record is a product page: no model named, no architecture, no benchmark. The documentation is thin enough that every claim here has to be taken on trust.

reliability
4
usefulness
5
cost
5
longevity
4
Agree with El Profesor?
La InversoraThe investor

Tariffs are published on the platform in the vendor's own currency, which tells you the buyer this was built for, and it is a regional one.

5.8
Reasoning and trade-offs · AI analysis

The company behind this is large, profitable and not going anywhere, so survival is not the question. Reach is. Pricing appears only inside the platform and only for its home market, which means this competes for customers already inside one national cloud ecosystem and is effectively unavailable outside it.

Moat: the platform bundle and the regional position, which is durable and non-expandable. Likely path: continued investment as a strategic asset rather than a growth business. Position: relevant if you operate in that market, irrelevant if you do not, and there is no middle case.

reliability
6
usefulness
5
cost
6
longevity
6
Agree with La Inversora?
La JefaThe CTO

There is no dollar list price to multiply by sixty, the code lives on the vendor's cloud, and the data residency answer is a jurisdiction rather than a policy.

3.8
Reasoning and trade-offs · AI analysis

I cannot compute a number. Rates are published inside the platform rather than as a comparable price list, so there is nothing to take to finance and nothing to benchmark against the two alternatives already on my shortlist.

The larger blocker is where our source would sit. Everything runs on the supplier's cloud, which makes residency a legal question rather than a configuration one, and our counsel will answer it before I do. There is no self-hosted option to fall back on. Not yet, and realistically not at all for us.

reliability
3
usefulness
4
cost
4
longevity
4
Agree with La Jefa?
El HackerThe tinkerer

Proprietary, browser-only, no key of mine, no protocol to speak to, no source to read, and the model is not even named.

2.8
Reasoning and trade-offs · AI analysis

Everything I test for is absent. There is no repository, so nothing to fork. There is no key substitution, so I cannot pay my own provider. Inference does not run on my machine, and there is no server or client interface for anything I already built to talk to it.

The whole product is a web application, so my configuration options are whatever buttons exist this quarter. I cannot script it, I cannot version it, and I cannot inspect what it did. There is nothing here for me to grudgingly respect.

reliability
2
usefulness
3
cost
3
longevity
3
Agree with El Hacker?