Decision fit
Who Pythagora (GPT Pilot) is best for
A retired developer-in-the-loop coding product whose open-source GPT Pilot core is no longer maintained.
Best for
- Researchers studying early developer-in-the-loop multi-agent coding systems
- Developers evaluating the archived GPT Pilot architecture and source code
- Teams comparing the evolution of prompt-to-application products
- Readers who need historical context on Pythagora before considering a current alternative
Tradeoffs to review
- The official GPT Pilot repository says it is no longer maintained
- The former Pythagora domain now redirects to Pazi, which is a different business-agent product
- Legacy pricing, support, extension availability, and security commitments are not current product promises
- Historical feature descriptions should not be interpreted as evidence of a supported 2026 coding service
Available surfaces
VS Code extension (historical) · GPT Pilot command-line and repository workflow (historical) · Pythagora web deployment workflow (historical) · Official open-source repositories
Execution environments
Local developer workspace (historical) · Local terminal and project files (historical) · Dedicated AWS EC2 deployment for generated apps (historical)
01 · Product analysis
What Pythagora and GPT Pilot were
GPT Pilot was the open-source core behind Pythagora's VS Code experience. The product aimed to build production-ready full-stack applications from natural-language requirements through a coordinated set of specialized agents, with the developer reviewing decisions and supplying feedback.
- 01
GPT Pilot powered the former Pythagora VS Code extension
- 02
The workflow covered requirements, architecture, implementation, review, debugging, and documentation
- 03
The developer remained part of the loop instead of handing the entire process to an opaque one-shot generator
- 04
Current official signals classify the coding product as legacy rather than actively maintained
Primary evidence: Official GPT Pilot repository, checked 2026-07-12.
02 · Product analysis
Editor and coding workflow
Pythagora's historical workflow ran inside VS Code and worked directly with a project. Users described an application, reviewed the plan, answered questions, and watched agents create files, execute commands, test the result, and iterate on errors.
- 01
A VS Code extension kept implementation close to the developer's files and terminal
- 02
The system decomposed a product request into implementable tasks
- 03
Agents could write frontend and backend code and run commands
- 04
Human feedback and approvals were explicit parts of the historical workflow
Primary evidence: Official GPT Pilot repository, checked 2026-07-12.
03 · Product analysis
Agents and orchestration
GPT Pilot coordinated roles such as a product owner, architect, developer, reviewer, debugger, and technical writer. These roles exchanged structured outputs across a sequential build process rather than operating as independently supervised parallel cloud workers.
- 01
Specialized agents handled planning, coding, review, debugging, and documentation
- 02
Tasks and context passed from one role to the next
- 03
Reviewer and debugger roles created explicit quality-control loops
- 04
The architecture is available for historical inspection in the unmaintained repository
Primary evidence: Official GPT Pilot repository, checked 2026-07-12.
04 · Product analysis
Context and extensibility
The system built context from requirements, architecture decisions, tasks, existing files, command output, and developer feedback. Because GPT Pilot was published as source code, developers could inspect and adapt its orchestration, although the official project no longer receives maintenance.
- 01
Project requirements and architecture formed durable build context
- 02
Agents worked against the local repository and observed command output
- 03
Developer responses could correct or refine the active task
- 04
Open-source access aids experimentation but does not provide current compatibility or support guarantees
Primary evidence: Official GPT Pilot repository, checked 2026-07-12.
05 · Product analysis
Delivery and review
Pythagora historically emphasized generating a runnable full-stack application, reviewing code, debugging failures, and deploying the result. Its flow was more application-build oriented than a modern hosted pull-request queue, and no current first-party source confirms an active delivery service.
- 01
Reviewer and debugger roles inspected generated implementation
- 02
The product could run and repair applications during development
- 03
Historical deployment used dedicated AWS EC2 instances for hosted apps
- 04
No supported 2026 pull-request or deployment SLA is publicly documented for Pythagora
Primary evidence: Official GPT Pilot repository, checked 2026-07-12.
06 · Product analysis
Pricing and current commercial status
There is no current standalone Pythagora coding plan to compare. The official domain redirects to Pazi, whose separate plans use credits for a general business-agent product. Those prices are relevant to the successor destination, not evidence that the legacy coding client remains available.
- 01
The GPT Pilot repository is explicitly marked as not maintained
- 02
pythagora.ai currently resolves to Pazi
- 03
Pazi lists a free plan and paid credit bundles beginning at $20 per month
- 04
Pazi pricing should not be normalized into a Pythagora coding-client entry price
No current standalone Pythagora coding plan; the official domain redirects to Pazi
See official pricing
See official pricing
Legacy Pythagora coding-plan pricing is no longer current. Pazi publishes separate credit-based plans, including a free tier and Starter at $20 per month, but those plans cover a different general business-agent product and are not presented here as Pythagora pricing.
Primary evidence: Pythagora official domain, currently redirecting to Pazi, checked 2026-07-12.
07 · Product analysis
Security and privacy
Historical Pythagora material said local-extension application data stayed on the user's computer, cloud application data lived in the user's instance, and hosted applications ran on dedicated AWS EC2 instances. These statements describe the former product and should not be treated as current security attestations or retention terms.
- 01
Historical local-extension data was described as remaining on the developer's machine
- 02
Historical cloud application data was described as residing in the user's instance database
- 03
Pythagora said it did not internally store generated application data beyond account details
- 04
Buyers should not rely on these archived claims for a product that is no longer actively offered
Primary evidence: Pythagora historical application data and deployment notes, checked 2026-07-12.
Visual reference library
Pythagora (GPT Pilot) screenshots and video demos
This source-linked library pairs official product-page visuals and dated page captures with relevant YouTube walkthroughs. All displayed images and thumbnails are delivered from Graphify’s Cloudflare R2 origin; selecting a card opens its original product page or video.
Coverage currently includes 17 independently attributable references, below this product’s evidence-scoped maximum of 18. We leave remaining slots open rather than pad the gallery with weakly attributed media.
Official product visuals and page captures
4 source-linked images
Official visualOfficial Pythagora (GPT Pilot) visual 1Pythagora availability and product workflow announcement
Official visualOfficial Pythagora (GPT Pilot) visual 2Official GPT Pilot repository
Official visualOfficial Pythagora (GPT Pilot) visual 3Official GPT Pilot repository
Official page screenshotPythagora (GPT Pilot) official page screenshotPythagora official domain, currently redirecting to Pazi
YouTube walkthroughs and demos
13 source-linked videos
▶43:21
YouTube demoThis AI Coder Is On Another Level (Pythagora Tutorial)Matthew Berman
▶24:25
YouTube demoThis AI Coder BUILDS (Pythagora 2.0 Tutorial)Matthew Berman
▶12:36
YouTube demoHow To Use Pythagora 2.0 - Full Review (2025) | Is This AI Tool Worth It?Skillcraft AI
▶49:16
YouTube demoI Built a Website with AI in 30 Mins! 🤯 | Pythagora TutorialIshan Sharma
▶2:19
YouTube demoPythagora AI The Future of Coding Faster, Smarter, & More Efficient!AI Tools Quest
▶10:06
YouTube demoPythagora AI: Develop a Full-stack App Without Writing ANY Code! (ClaudeDev Alternative)WorldofAI
▶1:26
YouTube demoPythagora Just Changed Vibe Coding Forever!!!Itsnanouu
▶7:46
YouTube demoPythagora AI v1.2 - FREE AI code Editor 🤖INSANE Full Stack AI Coding Agent GPT PilotThe Metaverse Guy
▶2:24
YouTube demoPythagora AI Vs Cursor Vs Void | Which AI Coder Is Better? (Honest Review)How To Thomas
▶1:22
YouTube demoHow To Use Pythagora AI 2.0 (Full Review)How To Thomas
▶31:44
YouTube demoI tested Pythagora V1 so you don't have toZeroToProduct
▶51:27
YouTube demoTutorial on PyTHAGORAJeremy Riousset
▶4:19
YouTube demoPythagora AI v1.2: The Full Stack AI Coding Agent GPT Pilot Outshines Cursor, Windsurf & Bolt! 🤖AI PI
Media selection is editorial discovery, not product endorsement. Original image and video sources are retained in the dataset for provenance; cards link to reviewed product pages or YouTube and do not embed third-party playback by default.
Evidence
Official sources used
Every product claim is tied to first-party product, documentation, pricing, security, or help material. Graphify does not use fabricated scores.
- Pythagora official domain, currently redirecting to Pazi · verified 2026-07-12
- Official GPT Pilot repository · verified 2026-07-12
- Pythagora v1 release reflection and GPT Pilot history · verified 2026-07-12
- Pythagora availability and product workflow announcement · verified 2026-07-12
- Pythagora historical application data and deployment notes · verified 2026-07-12
- Pazi current product overview · verified 2026-07-12
- Pazi current documentation · verified 2026-07-12
- Pazi current pricing · verified 2026-07-12
FAQ
Questions about Pythagora (GPT Pilot)
Is Pythagora still available as an active AI coding client?
No current first-party page presents Pythagora as an actively sold coding client. Its official domain redirects to Pazi, and the official GPT Pilot repository says it is not being maintained.
What was the relationship between GPT Pilot and Pythagora?
GPT Pilot was the open-source multi-agent core behind Pythagora's VS Code extension. Pythagora packaged the workflow into a fuller application-building product.
Is the GPT Pilot repository maintained?
No. The official repository currently states that it is not being maintained. The source remains useful for historical study, but users should not assume current model, dependency, or platform compatibility.
Is Pazi the same coding product as Pythagora?
The Pythagora domain now redirects to Pazi, but Pazi's current official materials describe a general business agent for research, data extraction, content, and operations rather than the former VS Code coding client. No first-party transition page reviewed here documents exact legal continuity or a coding-product migration path.
Public user commentary
User reviews of Pythagora (GPT Pilot)
A source-linked feed of public developer posts, presented as a discussion stream while preserving each author, date, viewpoint, and original thread.
Source-linked commentary analysis
What developers say about Pythagora (GPT Pilot)
Editorial synthesis of 0 direct, substantive public comments
0/5 direct comments · sample insufficient
Positive = 5 · Mixed = 3 · Critical = 1
- Positive 0
- Mixed 0
- Critical 0
What stands out
No direct, attributable public comments are currently selected for Pythagora (GPT Pilot). We leave the commentary synthesis empty rather than infer a user consensus from unrelated mentions.
Often praised
- No direct positive commentary yet
Check before adopting
- No direct cautionary commentary yet
Evidence gap: no direct, attributable Pythagora (GPT Pilot) discussion is currently selected. We show the gap rather than infer a user consensus from unrelated mentions. The 0–5 signal uses positive = 5, mixed = 3, and critical = 1, and appears only with at least 5 direct comments.
We leave this section empty rather than generate, infer, or misattribute user feedback from unrelated mentions.
These are source-linked public comments, not verified purchases or a representative survey. The 0–5 public-commentary signal is a transparent average of Graphify's sentiment labels, not a verified-purchase rating or Review/AggregateRating schema claim.
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