60%
Faster Legacy Java to Kotlin Conversion
How a fintech company used an AI coding agent to migrate 180K lines of Java to Kotlin, completing in 8 weeks instead of the estimated 20 weeks with manual conversion.
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AI coding agents speed up completion by 55% and catch 40% more bugs before merge (GitHub 2024 survey). Get suggestions, reviews, and refactors right in your IDE.
Automation workflow
from $247/month
2 ready coding workflows on n8n — set up, hosted and maintained for you. You keep the JSON.
Custom AI agent
from $2,000
Built for your systems and rules on Claude and n8n. Live in 2–4 weeks with documentation and a walkthrough; maintenance optional from $99/month.
Proof
60% Faster Legacy Java to Kotlin Conversion
AI Coding Agent for Enterprise Migration
Read the case studyReal outcomes from real builds — not marketing copy.
Faster Legacy Java to Kotlin Conversion
How a fintech company used an AI coding agent to migrate 180K lines of Java to Kotlin, completing in 8 weeks instead of the estimated 20 weeks with manual conversion.
Read deploymentFaster Code Reviews
How a 40-person development agency deployed AI coding agents to cut code review time in half while catching more bugs.
Read deploymentInstall in your IDE or connect your repo. No custom scripts—just sign in and authorize.
Set preferences (language, style, which tasks to automate). Point it at your codebase for context.
Use natural language or shortcuts for suggestions, reviews, refactors, and docs. Runs in the background as you code.
Developers spend hours writing repetitive boilerplate and translating specs into code. Context-switching between docs and the editor slows velocity.
Describe what you need in natural language or paste a spec. The AI agent generates functions, tests, and boilerplate in your IDE with full repo context.
Tools: GitHub Copilot, Cursor, Cody
Debugging is time-consuming: reading stack traces, reproducing issues, and searching for similar cases. Junior developers spend disproportionate time here.
Paste an error or highlight failing code. The agent traces the root cause using repo context, suggests fixes, and can apply them inline.
Tools: Cursor, GitHub Copilot, Codeium
Triaging, finding the root cause, writing the code, and submitting PRs for hundreds of tickets takes away from core product work.
An autonomous agent reads an issue, navigates your repository, researches the problem, writes the fix, and opens a PR with tests.
Tools: Devin, SWE-agent, Cody
Developers skip writing tests under deadline pressure, leading to low coverage and fragile releases. Retroactively adding tests is tedious and often deprioritized sprint after sprint.
The AI agent reads function signatures, docstrings, and usage patterns to generate meaningful test cases—including edge cases, error paths, and integration scenarios. Tests follow the project's existing framework and naming conventions so they integrate seamlessly into CI.
Tools: Cursor, Codium, GitHub Copilot
Documentation falls out of date the moment code changes. Engineers avoid writing docs because it's tedious, and new team members waste days reverse-engineering undocumented systems.
The AI agent parses source code, type definitions, and commit history to generate and update docstrings, API references, and high-level architecture docs. It runs as a CI step or IDE plugin, flagging undocumented functions and proposing updates when signatures change.
Tools: Mintlify, Cursor, Cody
Each blueprint shows the trigger, the steps with the n8n nodes named, the guardrails and an importable template — and what it costs to have us run it for you.
Tell us your workflow — we'll send a free scope and timeline within 48 hours.
Not quite? Take a look at ai marketing agent — the closest neighbour.
Assistants that integrate into the development workflow to write code, review pull requests, fix bugs, and refactor codebases. Full repo context and IDE integration provide suggestions that align with your patterns and best practices.
AI coding agents bring full repo context and IDE-native completion to your workflow. GitHub's 2024 survey found 55% of developers report faster completion with AI assist, and automated review catches 40% more bugs before merge. Use them for first-pass review, refactors, and documentation—humans own architecture and final approval.
Unlike a generic chatbot or manual process, an AI coding agent runs autonomously and integrates with your existing tools. Gartner projects that by 2026, over 80% of enterprises will have used GenAI APIs or applications.
Pick the path that fits your team and timeline. Most companies start with one and grow into the others.
Wire up a ready platform yourself. Best for hands-on teams comfortable configuring software.
See coding toolsWe scope, build, and deploy your agent — integrated with your CRM and tools. Best for teams that want it live in days, not months.
See the ROI and cost before you commit — useful for justifying the decision internally.
Code Review Time Savings CalculatorIf you’d rather DIY, these are the tools we’d reach for. Each lets developers run an AI coding agent without writing code.
We may earn a commission when you sign up via our links. How we recommend tools
Calculate how much time and money your engineering team spends on code reviews and how AI can cut it by 60%.
Calculate how much manual testing costs per release and how AI QA agents cut testing time by 75%.
Filterable database of 50+ AI agent vendors with pricing across all niches. Filter by model, free tier, deployment.
Compare per-seat vs per-resolution vs usage-based AI agent pricing side by side. Growth-adjusted 12-36 month projection.
Should you build in-house or buy SaaS? Compare 12-36 month TCO including engineers, infra, maintenance vs subscription. Crossover month included.
Generate 35+ test cases for your AI agent — happy-path, edge, adversarial, boundary. Download JSON or CSV. Works with Promptfoo, DeepEval, Braintrust.
You're already coding—it assists you. GitHub's 2024 Octoverse reports the majority of developers now use AI-assisted coding. You don't write scripts to use it: install, configure style or scope, then use it via your IDE. It writes or suggests code; you stay in flow.
Coding agents live in your editor with access to your full repo, so they suggest edits in place, follow your patterns, and run reviews. Stack Overflow's 2024 survey found IDE-integrated tools preferred 2:1 over standalone chat for code tasks. Built for developer workflow, not one-off prompts in a separate tab.
It depends on the tool. Some process locally or in a privacy-focused way; others send snippets or context to the cloud. Check each vendor's privacy and data policy. On-prem and air-gapped options exist for sensitive codebases.
It augments it. GitHub's 2024 research found AI-assisted review catches roughly 60% of common issues before human review. Obvious bugs and style get handled; human review remains essential for architecture, security, and domain logic.
Tell us your workflow and we'll send a free AI build plan for developers — scope, recommended agents, and a go-live timeline — within 48 hours. No obligation.
Or just email [email protected]