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Agentic Coding with Multiple Parallel Agents (Website)

Agentic Coding with Multiple Parallel Agents (Website)

Design aiagentsdevops Verdent.ai
Verdent AI uses multiple parallel agents to build entire software products from plain language prompts while maintaining project context across tasks.
What: Verdent AI manages the full development lifecycle, including task breakdown, feature development, testing, and deployment. Their latest research, SEAlign, published at ICSE 2026, claims to increase SWE-bench Verified performance from 2.8% to 21.8% by training models to make better decisions at critical engineering junctures.
Why it matters: This reflects the transition from simple code-completion tools to agentic systems that handle project-wide context, though it highlights the ongoing industry struggle with behavioral misalignment in complex software engineering tasks.
Deep dive
  • Features multiple agents working in parallel to handle feature building, testing, and architecture.
  • Offers integrations for VS Code and JetBrains.
  • Supports BYOK (Bring Your Own Key) and Eco Mode for flexible cost management.
  • Addresses the 'context window' problem by maintaining project state over long-term development.
  • Claims significant improvements in real-world software engineering benchmarks through behavioral alignment training.
Decoder
  • Agentic coding: A development paradigm where AI models act autonomously as agents to plan, execute, and verify code changes across an entire repository.
  • SWE-bench: A benchmark designed to evaluate how well language models can resolve real-world GitHub issues.
Original article

Build Your Product With Plain Words In Minutes

Just tell Verdent what you want. Verdent runs the work. You run the business.

Built to Launch

Not just a polished front end. Verdent helps you build a login system, data storage, payments, and admin tools so you can launch a complete product.

Launch is Day One

Add subscription billing this week. Build the admin dashboard next month. Verdent keeps the whole project in context, so every new task starts with the full picture.

No Rebuild Required

What you get isn't a throwaway prototype. It's built on a solid foundation, ready to launch.

Knows You Better Over Time

Verdent remembers all your preferences. The longer you work together, the more it feels like a partner who actually gets you.

Built on The Best Models

Verdent is powered by today's most capable AI models, so what you build is stronger from the start and ready for real use.

Stop Wearing Every Hat

Give Verdent the goal. It breaks it down, builds it, tests it, and comes back when it's done.

Say What, not How

Verdent breaks it into tasks, sets priorities, and pushes them forward. You don't need to project-manage your AI.

You Step In for Key Decisions Only

Verdent pushes the work forward. When it needs a decision or a sign-off, it brings back results, not questions every five minutes.

Stop Being Tied to Your Desk

Send a message when the thought hits. Work keeps moving, even when you step away.

Got Something in Mind? Send It Over

Slack, Telegram. Message Verdent from wherever you are. The moment the idea hits, just send it. Verdent takes it from there.

They already built these

From Game Concept to Playable Build in 12 Hours

A solo developer describes a dark gothic Roguelike to Verdent and gets a playable game — 21 sprites, 52 bug fixes, full architecture refactor — in 12 hours.

A Desktop Companion I Built in 7 Days

She Breathes, Blinks, and Knows When My Code Is Compiling

From a Ticket to a Tool: Google Ads Data on Demand

A growth lead sends one message to Verdent and replaces a multi-day data engineering ticket with a reusable, self-service analytics pipeline in minutes.

Insights & Updates

More Flexibility, More Control — Introducing Eco Mode, BYOK, and Updated Pricing

Verdent is evolving beyond a credits-only system. With the introduction of Eco Mode, BYOK, more cost-efficient PAYG pricing, and updated subscription credits, you now have more flexible ways to control cost, extend usage, and keep working without interruption.

Why Strong Coding Models Fail at Real Software Engineering — and How to Fix It

A 14B model acing coding benchmarks solves only 2.8% of real engineering tasks. SEAlign, our ICSE 2026 Distinguished Paper, shows the bottleneck is behavioral misalignment — and fixes it by training models to make better decisions at critical points, boosting performance to 21.8% on SWE-bench Verified.

Verdent: Your AI-native Partner

Think together. Work in parallel. A new way to build software.

That thing you've been wanting to build? Now you can.

No team to build. No developer to find. No code to write. Just tell Verdent what you want.

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