Software & AI Copilot
ChatGPT pluginBuild, debug, and review code
Repository-first coding assistance for software, data, and AI projects. Understand existing codebases, debug failures, implement features, review changes, refactor safely, design focused tests, and plan compatible upgrades. Includes dedicated workflows for APIs, distributed data transformations, ML pipelines, notebooks, and reliable LLM integrations. Prioritizes the smallest correct change, secure execution, contract preservation, evidence-backed verification, and current official docs for version-sensitive APIs. Uses available host coding tools and real subagents only when supported; this skills-only plugin provides no hosted build service, database connection, or automatic deployment.
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Rank in Developer tools
5 listing changes logged · latest Nov 3: Capabilities, Description, Skills and 2 more. See what changed
In its category
How this plugin compares with others in the same category. Positions are counted within the category, not across the whole directory.
Developer tools463rd of 900 by placement
| # | Plugin | Position | 7d |
|---|---|---|---|
| 461 | #5296 | 7places up | |
| 462 | #5301 | 77places down | |
| 463 | #5304 | 33places up | |
| 464 | #5306 | 22places up | |
| 465 | #5307 | 23places up |
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12 more on the publisher’s page.
Example prompts
- “Debug this repository issue, find the root cause, and implement the smallest safe fix with tests.”
- “Review this code change for correctness, security, compatibility, and regression risk.”
- “Improve this data or AI application code while preserving existing behavior and contracts.”
Skills
debug-failure
Investigate runtime errors, failing tests, defects and regressions in software, data or AI code and implement a minimal safe fix.
design-and-run-tests
Create targeted unit, integration, contract, regression and end-to-end verification for an existing code change or defect.
get-started
Route new requests for software, data or AI code help to the correct repository-first workflow; explain capabilities and environment limits.
harden-llm-integration
Make code using LLM APIs, structured outputs, tool calls or retrieval safer, more reliable and testable.
implement-data-code
Improve SQL, Spark, ETL/ELT, CDC and pipeline implementation code while preserving data grain, keys, correctness and replay safety.
implement-feature
Implement a focused feature or change in an existing repository while preserving established structure, API contracts and user behavior.
migrate-dependencies
Plan or execute safe dependency, SDK, framework, toolchain or runtime upgrades with version-sensitive compatibility checks.
migrate-interfaces-and-schemas
Change API contracts, serialized formats, events or database schemas using compatible rollout and data-migration strategies.
optimize-performance
Diagnose and improve software or data performance using observed profiles, metrics and reproducible baselines.
orchestrate-specialists
Coordinate real coding, testing, security and data/AI specialist agents for complex repository tasks when host subagent execution exists.
prepare-release
Evaluate release readiness of a software, data, or AI code change and prepare evidence-based deployment and rollback handoff.
productionize-ml-code
Harden ML training, feature engineering, inference and evaluation code for reproducibility and safe production use.
Show all 18Show fewer
productionize-notebook
Convert a notebook or experiment into tested reusable modules without changing its intended results.
refactor-safely
Improve maintainability or structure of existing code without unintended changes to externally observable behavior.
review-code
Review a code diff, pull request or repository change for actual correctness, security, concurrency, test and compatibility risks.
secure-code
Review or implement application security controls for authentication, authorization, secrets, untrusted input and data isolation.
triage-incident
Diagnose an active or recent production software/data/AI incident from logs, monitoring and deployments with safe mitigation planning.
understand-repository
Explain an existing repository, trace code paths, map contracts and dependencies before proposing changes.
- Categories
- Made by
- Tekris Labs · Website
- Sign-in
- On Install
- Capabilities
- Understand repository architecture and existing code contracts, Debug failures from error messages, logs, tests, and trace evidence, Implement focused changes with regression tests and minimal diffs, Review code for correctness, security, concurrency, and compatibility, Refactor code while preserving observable behavior, Plan tests, reproduce regressions, and evaluate test coverage, Plan safe dependency, runtime, API, and database migrations, Harden web services, authentication, and cross-tenant access, Review performance using measured evidence, not guesswork, Improve SQL, Spark, CDC, and data pipeline code, Harden LLM client, tool, and structured-output integrations, Productionize ML models and exploratory notebooks, Triage incidents and prepare evidence-backed release handoffs, Coordinate supported specialist agents for complex changes
- Availability
- Available
- Version
- 0.2.0
- Keywords
- software-engineering, code-review, debugging, refactoring, data-engineering, machine-learning, llm, testing, migration, devtools
- Created
- September 23, 2026
- More info
- Sponsorship
- Promote this plugin