AI-powered coding is already a reality and continues to evolve. Learn about different tools and their features
We at Visionnaire have already discussed how Artificial
Intelligence has changed the paradigm of the coding process. A few months ago, we prepared a list of platforms
that increase developer productivity through the effective use of AI. Now, we are back again to follow the evolution of
some of these tools, as well as to point out new solutions that have emerged and are already standing out.
How does our Top 3 look today?
Months ago, we named Cursor, GitHub Copilot, and
Bolt as our Top 3. Let's see how they are doing today.
Since our first post, Cursor has been releasing
several new features. Version 2.0, released last October, highlights a new coding model and agent interface with up to eight
agents, improved code review, sandboxed terminals, team commands, voice mode and overall improved performance.
Recent GitHub Copilot features include enhanced
Copilot Chat with rich file interactions, message threading, and improved attachments. For developers, key updates include
the Copilot coding agent, which can work autonomously on tasks, and Plan Mode in the IDE, which lets you review and refine
an agent's implementation plan before it runs. Other new features focus on improved code review with deterministic checks,
the Copilot CLI for terminal use, and the ability to save and reuse prompt files for more consistent responses.
Bolt’s latest features include enhanced authentication
and security with a native Bolt Cloud back-end, automated security audits, and Google SSO integration. It also offers built-in
support for unlimited databases, more scalable hosting options like Vercel, and improved performance for larger projects.
The platform also recently added the "Claude Agent," a more powerful AI for production-quality applications.
Four other tools worthy of the list
In our first list, we also prominently mentioned
Devin, Lovable, Qodo, and Replit. What's new with them?
The latest Devin update introduces a redesigned
breadcrumb navigation and mobile-responsive interface, plus enterprise features including a new “Devin Agent”
mode that runs faster and more intelligently, full document titles for browser tabs, enterprise-wide knowledge provisioning
during repository setup, enhanced agentic knowledge management (letting Devin add knowledge‐base entries during sessions), reorganized snapshot management with bulk editing, the renaming of “Ada”
to “Ask Devin” for clearer branding, and more.
Lovable now introduces a seamless integration with
Shopify enabling rapid creation of stores, complete with products, carts and checkout flows, and includes a 30-day trial when
signed up via Lovable. The built-in “agent” interface has been upgraded: it detects which part of the platform
you’re working in (code editor, SEO tools, analytics, etc.) and allows you to screenshot or capture images from your
machine directly in chat. Cloud & AI credits are now clearly tracked per project, with automated top-ups and monthly caps.
Qodo’s most recent updates introduce truly
agentic workflows: Qodo Gen now supports dynamic, multi-step execution where the AI agent plans tasks, runs tools (even terminal
commands), assesses outcomes and iterates, closing the loop from generation to execution. At the same time, enterprise governance
features have been beefed-up: custom MCP (Model Context Protocol) allow-lists give admins control over which tools agents
can use, and ticket-/task-compliance integration has expanded (including tools like monday dev, Jira and Gerrit) to link code
changes directly to tracked work items. In short: the agents are smarter, more autonomous, better integrated with real workflows
and under tighter enterprise control.
The latest Replit update introduces a live animated
Agent icon, giving clear visual feedback when the Agent is processing a task and improving UX especially in the centered chat
layout. You can now pick from an Agent tools dropdown during the planning phase, letting you set parameters like autonomy
level at the start of a build. The platform also now supports @filename mentions when interacting with the Agent, matching
typical developer workflows (e.g., referencing files directly rather than only via slash commands).
More platforms worth attention (and where they
fit)
A serious agentic collaborator that rides Anthropic’s
latest Claude models (Sonnet 4.x–4.5). Expect better long-horizon reasoning, code execution tools, and stronger “work
for hours” autonomy. Great for repo-wide edits with explanations.
It supports agentic workflows: you give the system
a higher-level goal, it breaks it down, edits or writes code, submits pull requests etc. For example, a recent study found
83.8% of agent-assisted PRs from Claude Code were merged, though many required human refinement.
According to Business Insider, one reviewer built
a full AWS system in 2 days that would ordinarily take 3 weeks using Claude Code, but they had to carefully manage
milestones because the conversation context compression caused issues.
Anthropic’s Claude model lineage (Sonnet,
Opus, Haiku) shows that Claude Code benefits from the stronger reasoning, larger context windows and tool-use API capabilities
introduced in the 2025 model releases.
In October 2025, Claude Code became available via
web interface under a “Code” tab (for Pro/Max users) rather than only via CLI.
Revived as a web-based coding agent inside ChatGPT
with a dedicated coding model and sandboxed VM. Designed to take tickets end-to-end (generate, test, propose PRs) while keeping
actions contained.
According to TechRadar, OpenAI launched GPT-5-Codex,
a specialized version of GPT-5 for coding, achieving ~74.5 % on SWE-Bench Verified benchmark, and capable of working autonomously
for hours.
Strong contender when you want an AI partner plugged
into your dev workflows, IDEs, GitHub, etc. Good for feature generation, bug-fixing, refactoring, code-review assistance.
With the “GPT-5-Codex” generation, the reliability and endurance of the agent improve significantly: longer continuous
sessions, better context handling.
The AI UI/app builder behind the boom in “disposable
apps.” Vercel is investing heavily in v0, with millions of users and even a mobile track. It’s incredibly fast
for landing pages, dashboards, and internal tools, just watch phishing-kit abuse like any powerful generator.
For internal tooling, prototypes, dashboards, micro-apps:
v0 offers a very fast path from idea to code and deployment. Enables “idea to production” in hours rather than
days/weeks. Great for proof-of-concepts, MVPs, internal apps where speed matters more than exhaustive customization. Could
complement core dev work: use v0 for lower-risk tasks, free senior devs for high-impact work.
A mobile-first, “build apps on your iPhone
with prompts” entrant that just raised seed funding. Good for creators and solo founders prototyping on the go. VibeCode
is offering a mobile-first app where users can “vibe code” (i.e., build mobile apps using natural-language prompts
on their iPhone).
In August 2025 the company raised $9.4 M seed funding
led by Alexis Ohanian’s fund and other high-profile investors. The app launched in June 2025 on iOS, allows users to
describe their app idea, then the tool builds it; users can then iteratively refine via chat/AI. Over 40,000 apps reportedly
created.
Excellent example of how “citizen development”
is being enabled. For teams wanting rapid mobile-app prototypes or internal helper apps, VibeCode may be a viable path. It
demonstrates the shift of coding tools beyond the traditional developer: mobile-first, prompt-driven, iterative. Could be
interesting for innovation labs, hackathons, internal MVPs where time to market trumps perfect code.
Rork is an AI-powered mobile-app creation platform
that lets users build full-featured apps simply by describing what they want. It’s designed for creators, entrepreneurs,
and small businesses who need to launch fast without writing a line of code.
With prompt-based creation, users describe their
app idea in natural language; Rork’s AI instantly designs and generates a functional mobile app. It Handles layout,
navigation, data connections, and publishing steps automatically.
Users can test, tweak, and relaunch iteratively,
guided by AI suggestions. Apps can be prepared for both iOS and Android stores. Also, it hosts projects and manages backend
configuration, freeing users from deployment complexity.
Rork exemplifies the “prompt-to-production”
trend, where AI takes over the boilerplate work of building mobile interfaces and APIs. For agencies or software factories,
it can accelerate early prototyping, MVPs, or client demos, allowing developers to focus on refinement, integrations, and
custom logic instead of scaffolding screens.
Chef by Convex is an AI-driven development tool
built on the platform of Convex (a serverless backend provider) that automate the creation of backend services via “recipes”
or templates. Users can select or define backend workflows (database, API endpoints, authentication) which Chef then scaffolds
using the Convex backend runtime.
It Integrates with Convex’s serverless/edge
backend infrastructure, meaning generated back-ends are hosted and managed by Convex. May be ideal for teams who want to spin
up backend services quickly to support front-ends or mobile apps, with minimal boilerplate.
Chef complements “prompt-to-app” builders
(like mobile builders) by covering the backend layer automatically: this means faster end-to-end development (front + back)
when paired with other AI builders. It enables internal tooling or MVPs to get both UI and backend up quickly, freeing devs
to focus on custom logic, performance, and scaling.
