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CoStrict

#87 overall#19 ide extensionunverified rowv3.0.23

Enterprise AI coding assistant from Sangfor with a strict spec-first mode, repo-wide review and private deployment

Key differences

Enterprise AI coding assistant from Sangfor with a strict spec-first mode, repo-wide review and private deployment

  • Runs local and cloud. Free and open source under Apache-2.0 with built-in free models, or plug in your own provider keys
  • Runs multiple agents. Listed for 18 of 49 tools in this category.
  • Runs local models. Listed for 25 of 49 tools in this category.
  • Keep in mind: The README lists local models alongside Anthropic, OpenAI and OpenAI-compatible APIs under model customisation.

“It accepts screenshots as context, so you can finally show it the design instead of describing the design to it three times.”

Website Docs 4.4k starsCompare vs…Dispute a fact
Appeal a claim or request ownership transfer

What it is

CoStrict ships as a VS Code extension, a JetBrains plugin and a CLI, plus a cloud edition, and is built for organisations that need the whole thing deployed privately. Its strict mode walks a change through requirements analysis, architecture design, task planning and test generation instead of free-form generation, and a separate code review pass runs repository-wide RAG-based analysis verified by several expert models. It also does inline completion, natural-language vibe coding, MCP tool integration, image context and an extensible skills system.

Specification

Source verification

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

overview
Needs individual review
install
Needs individual review
models
Needs individual review
protocols
Needs individual review
license
Needs individual review

Architecture

Type
IDE extension
Runsunsourced
local, cloud
Platforms
macos, linux, windows
Context windowsrc ↗
not documented
Languages
any

Models

Backbonesrc ↗
built-in free models, Anthropic, OpenAI, any OpenAI-compatible endpoint
Bring your own model
Yes
Local models
Yes
The README lists local models alongside Anthropic, OpenAI and OpenAI-compatible APIs under model customisation.

Protocols

MCP clientsrc ↗
Yes
MCP server
No
OpenAPI tools
No

Capabilities

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

Cost

Modelunsourced
byok
Starts at
$0/mo
Free tier
Yes
Bring your own key
Yes

Free and open source under Apache-2.0 with built-in free models, or plug in your own provider keys

Openness

Open sourcesrc ↗
Yes
License
Apache-2.0
First release
2025-04
vscodejetbrainsenterprisecode-reviewmcpprivate-deployment

Los Agentes on CoStrict

Who are they?
The ruling
El JuezThe judge

La Jefa and El Hacker arrive at the same place for opposite reasons, and El Crítico dissents about something neither of them was arguing over.

Adopt with conditions
Reasoning and trade-offs · AI analysis

She rates it because the whole thing runs inside her own network, and he rates it because the licence lets him do that without asking. Agreement from those two is rare. El Crítico dissents, narrowly: he does not trust a review pass that finds code by resemblance.

El Crítico is right and overturns nothing, because his objection lands on one feature rather than on the assistant around it. La Jefa's reading wins for any team that cannot let source leave its own hardware. Adopt with conditions, and the condition is that a human owns the merge decision, never the review pass.

Agree with El Juez?
El AmigoThe friend

Pick it when half your team is in VS Code and half is in JetBrains and you want one assistant in both; pick Cline if everyone is already in one editor.

7.0
Reasoning and trade-offs · AI analysis

The deciding trait is that it follows you. The same assistant ships as an editor extension, a plugin for the other editor and a command line tool, so the half of your team that will not leave its IDE and the half that lives in a shell end up behaving the same way. Most tools make you pick a home.

What you do not get is a second opinion on your architecture; it will follow a bad instruction across both editors at once. Pick it if the toolchain split is real. Pick Cline if everyone is in one editor and would rather tinker.

reliability
6
usefulness
7
cost
8
longevity
7
Agree with El Amigo?
El CríticoThe critic

The repository-wide review is retrieval-based, and retrieval surfaces code that resembles the change rather than the code the change breaks. Those are not the same set.

6.0
Reasoning and trade-offs · AI analysis

The failure mode is the caller you did not touch. An index built on resemblance returns passages that look like the diff, and the function that will break at runtime is frequently the least similar thing in the repository: another module, different names, quietly invalidated by a signature change. Nothing about it looks like the diff.

No fallback for that case is described, and no false-positive rate is published for the pass at all. What it does right is scope. The review runs over the whole repository rather than the diff alone, which at least makes the attempt that most review bots skip entirely.

reliability
5
usefulness
6
cost
7
longevity
6
Agree with El Crítico?
El ProfesorThe professor

Strict mode is a four-stage pipeline, requirements through architecture, task planning and test generation, which is a documented process rather than a prompt asking a model to think harder.

6.3
Reasoning and trade-offs · AI analysis
  1. Naming the stages is the substantive contribution here. Each one produces an output a human can read and reject before the next begins, which makes the intermediate artefacts reviewable instead of internal. 2. The ordering is conventional software process rather than an invention, and that counts in its favour, since the failure modes are already catalogued.

  2. No evaluation accompanies any of it. Nothing published measures whether a staged pipeline produces better changes than a single pass, and the claim is plausible enough that somebody ought to have tried to falsify it. Stated clearly, which is more than most manage, and demonstrated nowhere.

reliability
7
usefulness
6
cost
6
longevity
6
Agree with El Profesor?
La InversoraThe investor

A network-security vendor giving away a coding assistant is running a channel, not a charity, and 4,401 stars is a lead list rather than a revenue line.

7.8
Reasoning and trade-offs · AI analysis

The company is the signal. This comes from an established vendor with an existing enterprise motion, which quietly removes every question at the top of my list: no runway problem, no seed-stage abandonment, no founder who takes an offer next quarter and takes the roadmap with him. That is worth more than any feature on the page.

Pricing power sits with the relationship rather than the assistant, and that is the durable half of the arrangement. Moat: a customer base that already buys infrastructure from the same supplier. Likely path is bundling, not acquisition. Position: safe to depend on, and read the commercial terms before the free version becomes load-bearing.

reliability
8
usefulness
7
cost
8
longevity
8
Agree with La Inversora?
La JefaThe CTO

Zero licence cost across sixty desks and it deploys inside our own network, which answers the security questionnaire. It does not answer identity or audit.

6.8
Reasoning and trade-offs · AI analysis

The deployment model is what gets this through procurement. Source stays on infrastructure we control, which removes the single objection that kills most assistants in review, and sixty desks cost nothing. That is a shorter meeting than I am used to having about this category.

What is missing is everything after the install. No single sign-on, no user provisioning and no audit trail are documented, so I would be running a service with no idea who used it or what it read. It does not execute in a pipeline either, so it never becomes a step I can measure. Approved with conditions: one team first, behind our own identity proxy.

reliability
6
usefulness
6
cost
8
longevity
7
Agree with La Jefa?
El HackerThe tinkerer

Apache-2.0, a model field that accepts any OpenAI-compatible endpoint including the one on my desk, and MCP servers attach as tools without an adapter.

7.5
Reasoning and trade-offs · AI analysis

The licence is the permissive kind, which means a fork is a real option rather than a threat I make in an issue thread. The model configuration matters more to me: it takes any endpoint speaking the common API format, so a server on my own hardware is a first-class choice instead of a footnote.

The free models it ships are convenient and the first thing I would turn off, because I would rather know which weights are reading my repository. MCP tools attach directly, so the servers I already run become available without writing glue. Grudging respect for a vendor tool that lets me remove the vendor.

reliability
7
usefulness
7
cost
9
longevity
7
Agree with El Hacker?