Bring intelligence and automation across the SDLC
As a VS Code extension, CodeTools enables customizable, context-aware AI agents that help teams understand, design, and deliver software faster.
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Despite AI-assisted coding tools like Copilot, engineering teams still spend a significant amount of time manually reviewing codebases, deciphering architecture, and managing documentation. CodeTools is designed to address these challenges.
Repetitive developer overhead
Teams lose valuable time to tasks like code reviews, documentation, infrastructure setup, and boilerplate generation, which slows innovation.
Inconsistent code quality
Without standardized review processes, coding practices, or automated checks, code quality varies across teams, leading to defects and rework.
Delivery delays & inflated costs
Engineers juggle multiple tools and systems, which adds context switching fatigue, stretches project timelines, and reduces delivery predictability.
Barriers to AI adoption
Generic copilots and similar AI tools lack domain-specific extensions and may require heavy customization to be truly effective.
How CodeTools drives enterprise-wide efficiency
CodeTools turns your codebase into a conversational system that serves all stakeholders, from developers to PMs and QAs. Rather than predictive completions, it focuses on context-driven exploration, discovery, and decision support–making AI pragmatic, transparent, and enterprise-ready.
Intelligent codebase interaction
Accelerate code understanding by exploring complex codebases through natural language queries. CodeTools enables Q&A across projects, even if they aren’t open, making ramp-up, debugging, and architecture exploration seamless.
Tailored multimodal AI agents
Support diverse roles, from PMs to QA to developers, with tailored AI agents that provide context-aware assistance for different workflows. Teams can generate documentation, validate test cases, or review with role-specific intelligence.
Code-to-diagram & Diagram-to-code
Automatically generate system architecture diagrams from code and configs, or convert system designs into deployable Infrastructure as Code (IaC). This ensures cloud best practices and keeps architecture and implementation in sync.
Infrastructure-as-Code analysis
Enforce governance and ship safer, smarter infrastructure. CodeTools analyzes Terraform, CloudFormation, and ARM templates and flags misconfigurations, deprecated resources, and secrets, while recommending optimizations.
Seamless developer experience
Enable rapid prototyping with zero setup friction. Developers can add local projects as context without GitHub, query them anytime with persistent project context, and get started instantly through VSIX install and Microsoft SSO.
Information security & IP assurance
Adopt AI without compromising enterprise data or IP. CodeTools is built with enterprise-grade safeguards, ensuring local context handling without mandatory external uploads. It protects source code integrity and supports compliance with data policies.
Get faster, smarter software delivery at scale
By reducing ramp-up time and fostering cross-functional alignment, CodeTools helps organizations turn everyday productivity gains into strategic business impact.
Faster time-to-value for every team
Slash onboarding time, uncover hidden dependencies, and ship features faster. CodeTools automates coding, review, and infrastructure tasks so teams can focus on innovation instead of manual overhead.
Reliable, risk-aware decision-making
Adopt standardized practices with confidence. Surface risks, identify tight coupling, and plan safe changes. CodeTools connects decisions with real code impact to prevent regressions before they happen.
Lower delivery and maintenance costs
Do more with less engineering effort. CodeTools minimizes wasted hours, reduces tool fragmentation, and maximizes ROI by making AI automation practical and scalable for real-world use.
See CodeTools in action.
Trusted by the World's Leading Companies
“Unlike many firms, they approach work with a sense of ownership and urgency, making them feel like an extension of our team. Their wide-ranging technical capabilities and reliability gave us the confidence to trust them with critical parts of our product.”
Head of Engineering
Leading Lifestyle & Wellness Platform
“Simform delivered our self-serve application, including an MVP, within the agreed timeline. Their exceptional expertise and dedication continue to impress as they develop new features and maintain the application. A remarkable partner in software development.”
Technical Product Manager
AI-Driven Digital Advertising Platform
“We are satisfied with Simform’s quality work. The team manages the project well – they’ve solved issues and improved their performance. Overall, they excel in their communication; they do it frequently and effectively through Slack and Microsoft Teams. They also use internal management tools.”
Project Manager
Next-gen IoT Solutions Company
“The Simform team are extremely proactive across the full delivery life cycle whether that is reviewing conceptual designs to offer different options for our consideration or identifying areas where future enhancements could be considered to improve the application performance or end user experience.”
Product Manager
Global Consulting Company
“From start to finish, Simform delivered a great project experience, even when the requirements were a bit ambiguous with some changes, they adapted, adjusted and got the job done. Code delivered was of a high standard and the delivery team was great top work with. I recommend Simform to my own network all the time.”
CTO
Accredited Business Finance Company
“The cloud migration was a great sucess. Very satisfactory, seamless and increased our productivity. The most impressive part about Simform is their dynamic and well-versed team. Anytime there was a concern, we were able to communicate and have it rectified immediately.”
President
Trusted Community Services Organization
Simform was an invaluable partner in our system modernization, moving beyond analysis to deliver true product engineering advisory. They analyzed complex legacy workflows into clear, validated, developer-ready user stories. The clarity and strategic consistency they introduced was foundational, directly influencing our cloud architecture and product design. Their work effectively accelerated our discovery phase and time to market.
Director of Engineering
Datamark
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