Sachin Matta

Project Owner

AICode

Expert Rating

n/a

Type SingularityNET RFP
Funding Request n/a
RFP Guidelines An AI-native Development Environment for the ASI:Chain

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Overview

Deliver a VS Code extension as the primary artefact, with an optional IntelliJ plugin as a stretch goal. This maximises reach while minimising the cost of building or maintaining a full bespoke IDE. The VS Code extension model is explicitly designed to allow deep customisation of both UI and language tooling through an extension API (including custom views and webviews for rich interfaces), and it has strong official support for language-server based features. Implementation will focus on the RFP “Must Have” requirements—ASI Wallet integration, natural language interface for vibecoding, block explorer integration, and a local development network via Docker

RFP Guidelines

Open for Proposals

An AI-native Development Environment for...

Ending on:

13 Feb. 2026

Days

Hours

Minutes

Type SingularityNET RFP
Total RFP Funding $50,000 USD
Proposals 21
Awarded Projects n/a

SingularityNET

Feb. 4, 2026

View RFP

This RFP seeks proposals for the development of an AI-native Development Environment (IDE) that improves the efficiency and accessibility of blockchain application development for the ASI:Chain.

Proposal Description

Proposal Details Locked…

In order to protect this proposal from being copied, all details are hidden until the end of the submission period. Please come back later to see all details.

Total Milestones
4
Total Budget
$50,000_USD
Last Updated
13 Feb 2026

Milestone 1 - Foundations and specification

Description

Architecture/spec signed off;

Deliverables

extension skeleton and corpus ingest prototype delivered

Budget

$7,500 USD

Success Criterion

Validation from the Singularity team

Milestone 2 - Core DevNet workflow

Description

Devnet workflow

Deliverables

Deploy-to-DevNet end-to-end demo + explorer integration + logs

Budget

$17,500 USD

Success Criterion

Working deployment with demo

Milestone 3 - AI-native workflows and LocalNet

Description

Native workflow on Localnet

Deliverables

AI vibecoding (RAG) shipped + LocalNet start/stop + debug commands

Budget

$15,000 USD

Success Criterion

Working localnet workflow

Milestone 4 - Beta release and handover

Description

Marketplace/OpenVSX release artefacts + docs + CI + handover package

Deliverables

Mainnet deployment

Budget

$10,000 USD

Success Criterion

Everything in requirement covered with testing and deployed on mainnet.

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Expert Ratings

Reviews & Ratings

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The weighted average of the 4 perspectives Overall

0.0
Each RFP defines a maximum allowed budget, but teams can differentiate their proposal by offering a solution with a lower budget or a wider scope.Value for money

0.0
This rating indicates compliance to 'Must haves' but also adaptation of 'Nice to haves' and Non-functional requirements defined in the RFP.Compliance with RFP requirements

0.0
RFPs will offer varying degrees of freedom. This rating indicates the quality of the team's specific solution ideas, the provided details, and the reviewer's confidence in the team's ability to execute.Solution details and team expertise

0.0

Review Headline

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Review Summary

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The weighted average of the 4 perspectives Overall

0.0
Each RFP defines a maximum allowed budget, but teams can differentiate their proposal by offering a solution with a lower budget or a wider scope.Value for money

0.0
This rating indicates compliance to 'Must haves' but also adaptation of 'Nice to haves' and Non-functional requirements defined in the RFP.Compliance with RFP requirements

0.0
RFPs will offer varying degrees of freedom. This rating indicates the quality of the team's specific solution ideas, the provided details, and the reviewer's confidence in the team's ability to execute.Solution details and team expertise

0.0

Review Headline

0 /50 chars

0 /5000 chars

Warning: Adding final group rating for this project will prevent expert users from adding new or editing existing reviews

Reviews and Ratings in Deep Funding are structured in 4 categories. This will ensure that the reviewer takes all these perspectives into account in their assessment and it will make it easier to compare different projects on their strengths and weaknesses. Overall (Primary) This is an average of the 4 perspectives. At the start of this new process, we are assigning an equal weight to all categories, but over time we might change this and make some categories more important than others in the overall score. (This may even be done retroactively). Feasibility (secondary) This represents the user\'s assessment of whether the proposed project is theoretically possible and if it is deemed feasible. E.g. A proposal for nuclear fission might be theoretically possible, but it doesn’t look very feasible in the context of Deep Funding. Viability (secondary) This category is somewhat similar to Feasibility, but it interprets the feasibility against factors such as the size and experience of the team, the budget requested, and the estimated timelines. We could frame this as: “What is your level of confidence that this team will be able to complete this project and its milestones in a reasonable time, and successfully deploy it?” Examples:

A proposal that promises the development of a personal assistant that outperforms existing solutions might be feasible, but if there is no AI expertise in the team the viability rating might be low.
A proposal that promises a new Carbon Emission Compensation scheme might be technically feasible, but the viability could be estimated low due to challenges around market penetration and widespread adoption.

Desirability (secondary) Even if the project team succeeds in creating a product, there is the question of market fit. Is this a project that fulfills an actual need? Is there a lot of competition already? Are the USPs of the project sufficient to make a difference? Example:

Creating a translation service from, say Spanish to English might be possible, but it\'s questionable if such a service would be able to get a significant share of the market

Usefulness (secondary) This is a crucial category that aligns with the main goal of the Deep Funding program. The question to be asked here is: “To what extent will this proposal help to grow the Decentralized AI Platform?” For proposals that develop or utilize an AI service on the platform, the question could be “How many API calls do we expect it to generate” (and how important / high-valued are these calls?). For a marketing proposal, the question could be “How large and well-aligned is the target audience?” Another question is related to how the budget is spent. Are the funds mainly used for value creation for the platform or on other things? Examples:

A metaverse project that spends 95% of its budget on the development of the game and only 5 % on the development of an AI service for the platform might expect a low ‘usefulness’ rating here.

A marketing proposal that creates t-shirts for a local high school, would get a lower ‘usefulness’ rating than a marketing proposal that has a viable plan for targeting highly esteemed universities in a scaleable way.
An AI service that is fully dedicated to a single product, does not take advantage of the purpose of the platform. When the same service would be offered and useful for other parties, this should increase the ‘usefulness’ rating.

Sachin Matta

Project Owner

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AICode

Sachin Matta

AICode

Expert Rating

Overview

RFP Guidelines

An AI-native Development Environment for...

SingularityNET

An AI-native Development Environment for the ASI:Chain

SingularityNET

Proposal Description

Proposal Details Locked…

Proposal Video

Not Avaliable Yet

4

$50,000 USD

13 Feb 2026

Milestone 1 - Foundations and specification

Description

Deliverables

Budget

Success Criterion

Milestone 2 - Core DevNet workflow

Description

Deliverables

Budget

Success Criterion

Milestone 3 - AI-native workflows and LocalNet

Description

Deliverables

Budget

Success Criterion

Milestone 4 - Beta release and handover

Description

Deliverables

Budget

Success Criterion

Join the Discussion (0)

Expert Ratings

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Sachin Matta

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