Augment Code
@augmentcode.com
The Developer AI that deeply understands your codebase and how your team builds software. Augment puts your team’s collective knowledge at your fingertips.
Pinned
Augment Code
@augmentcode.com
· Nov 19
Meet Augment Code: Developer AI for Teams
Augment Code is an AI coding tool designed for large, complex codebases. It adapts to your code’s context, boosting team productivity. Try it for free today.
bit.ly
Hi! We’re Augment Code, the first developer AI purpose-built for teams.
What makes Augment different? Context. Every feature is context-aware. This means every suggestion, completion, and interaction reflects the components, APIs, and coding patterns in your codebase.
Read more: bit.ly/4e5IYtb
What makes Augment different? Context. Every feature is context-aware. This means every suggestion, completion, and interaction reflects the components, APIs, and coding patterns in your codebase.
Read more: bit.ly/4e5IYtb
Reposted by Augment Code
Augment Code and Opencode are now available in Zed. 🎉
Both agents run natively through ACP. Install them in seconds from the extensions store and use them alongside Claude Code, Gemini CLI, or Codex.
Both agents run natively through ACP. Install them in seconds from the extensions store and use them alongside Claude Code, Gemini CLI, or Codex.
November 6, 2025 at 10:03 PM
Augment Code and Opencode are now available in Zed. 🎉
Both agents run natively through ACP. Install them in seconds from the extensions store and use them alongside Claude Code, Gemini CLI, or Codex.
Both agents run natively through ACP. Install them in seconds from the extensions store and use them alongside Claude Code, Gemini CLI, or Codex.
Today we announced an upcoming change to how Augment Code is priced.
Starting October 20, 2025, plans will move from user messages per month → to a pool of credits that can be spent across activities.
📖 Read more on our blog → www.augmentcode.com/blog/augment...
Starting October 20, 2025, plans will move from user messages per month → to a pool of credits that can be spent across activities.
📖 Read more on our blog → www.augmentcode.com/blog/augment...
Augment Code’s pricing is changing on October 20, 2025
The most powerful AI software development platform with the industry-leading context engine.
www.augmentcode.com
October 6, 2025 at 5:57 PM
Today we announced an upcoming change to how Augment Code is priced.
Starting October 20, 2025, plans will move from user messages per month → to a pool of credits that can be spent across activities.
📖 Read more on our blog → www.augmentcode.com/blog/augment...
Starting October 20, 2025, plans will move from user messages per month → to a pool of credits that can be spent across activities.
📖 Read more on our blog → www.augmentcode.com/blog/augment...
Claude Sonnet 4.5 from Anthropic is now the default model for Augment Code.
We’re rolling it out to all customers over the next 24 hours, where it will be available alongside Sonnet 4 (for a limited time) and GPT-5 in the model picker.
We’re rolling it out to all customers over the next 24 hours, where it will be available alongside Sonnet 4 (for a limited time) and GPT-5 in the model picker.
September 29, 2025 at 5:08 PM
Claude Sonnet 4.5 from Anthropic is now the default model for Augment Code.
We’re rolling it out to all customers over the next 24 hours, where it will be available alongside Sonnet 4 (for a limited time) and GPT-5 in the model picker.
We’re rolling it out to all customers over the next 24 hours, where it will be available alongside Sonnet 4 (for a limited time) and GPT-5 in the model picker.
Tomorrow, Friday, August 29.
10am PT.
AMA on r/webdev
RSVP and leave your questions:
reddit.com/r/webdev/com...
10am PT.
AMA on r/webdev
RSVP and leave your questions:
reddit.com/r/webdev/com...
From the webdev community on Reddit
Explore this post and more from the webdev community
reddit.com
August 28, 2025 at 10:55 PM
Tomorrow, Friday, August 29.
10am PT.
AMA on r/webdev
RSVP and leave your questions:
reddit.com/r/webdev/com...
10am PT.
AMA on r/webdev
RSVP and leave your questions:
reddit.com/r/webdev/com...
The Auggie CLI is now available for everyone.
Auggie brings Augment’s industry-leading context engine to every part of your stack—terminal, CI, and beyond.
Getting started is simple:
npm install -g @augmentcode/auggie
www.augmentcode.com/product/CLI
Auggie brings Augment’s industry-leading context engine to every part of your stack—terminal, CI, and beyond.
Getting started is simple:
npm install -g @augmentcode/auggie
www.augmentcode.com/product/CLI
August 28, 2025 at 8:32 PM
The Auggie CLI is now available for everyone.
Auggie brings Augment’s industry-leading context engine to every part of your stack—terminal, CI, and beyond.
Getting started is simple:
npm install -g @augmentcode/auggie
www.augmentcode.com/product/CLI
Auggie brings Augment’s industry-leading context engine to every part of your stack—terminal, CI, and beyond.
Getting started is simple:
npm install -g @augmentcode/auggie
www.augmentcode.com/product/CLI
Reposted by Augment Code
Our industry has moved from ‘still defining an agent’ at the start of 2025 to ‘building things that can actually build things’ by mid-year.
Here are some of the agentic demos that impressed me over the year, including @augmentcode.com @kiro.dev and @systeminit.com
redmonk.com/rstephens/20...
Here are some of the agentic demos that impressed me over the year, including @augmentcode.com @kiro.dev and @systeminit.com
redmonk.com/rstephens/20...
An Evolution of Agent Demos that Impressed Me
Our industry has moved from ‘still defining an agent’ at the start of 2025 to ‘building things that can actually build things’ by mid-year. (That said, if you’re in the “I’d still appreciate a definit...
redmonk.com
August 28, 2025 at 5:37 PM
Our industry has moved from ‘still defining an agent’ at the start of 2025 to ‘building things that can actually build things’ by mid-year.
Here are some of the agentic demos that impressed me over the year, including @augmentcode.com @kiro.dev and @systeminit.com
redmonk.com/rstephens/20...
Here are some of the agentic demos that impressed me over the year, including @augmentcode.com @kiro.dev and @systeminit.com
redmonk.com/rstephens/20...
Most people think devs use AI to write code from scratch.
But we analyzed 81 million developer chats — and that’s not what’s happening.
Here's what we found 👇
But we analyzed 81 million developer chats — and that’s not what’s happening.
Here's what we found 👇
July 16, 2025 at 4:29 PM
Most people think devs use AI to write code from scratch.
But we analyzed 81 million developer chats — and that’s not what’s happening.
Here's what we found 👇
But we analyzed 81 million developer chats — and that’s not what’s happening.
Here's what we found 👇
Most Agent failures aren’t about bad models.
They’re about bad prompts.
Here’s how to write prompts that actually work—based on thousands of real dev-Agent interactions 👇🧵
They’re about bad prompts.
Here’s how to write prompts that actually work—based on thousands of real dev-Agent interactions 👇🧵
July 15, 2025 at 4:28 PM
Most Agent failures aren’t about bad models.
They’re about bad prompts.
Here’s how to write prompts that actually work—based on thousands of real dev-Agent interactions 👇🧵
They’re about bad prompts.
Here’s how to write prompts that actually work—based on thousands of real dev-Agent interactions 👇🧵
With Augment Rules, your software agent can build just like your team does.
July 9, 2025 at 9:22 PM
With Augment Rules, your software agent can build just like your team does.
Prompt.
Wait.
It messes up.
Start over?
Not if you build a feedback loop.
Here’s how to make Agents actually useful 👇
Wait.
It messes up.
Start over?
Not if you build a feedback loop.
Here’s how to make Agents actually useful 👇
July 7, 2025 at 4:22 PM
Prompt.
Wait.
It messes up.
Start over?
Not if you build a feedback loop.
Here’s how to make Agents actually useful 👇
Wait.
It messes up.
Start over?
Not if you build a feedback loop.
Here’s how to make Agents actually useful 👇
Most Agent failures aren’t model problems. They’re context problems.
If you give vague or incomplete info, the Agent will fill in the blanks—and usually get them wrong.
Here’s how to write high-context prompts that actually work 👇
If you give vague or incomplete info, the Agent will fill in the blanks—and usually get them wrong.
Here’s how to write high-context prompts that actually work 👇
July 3, 2025 at 5:15 PM
Most Agent failures aren’t model problems. They’re context problems.
If you give vague or incomplete info, the Agent will fill in the blanks—and usually get them wrong.
Here’s how to write high-context prompts that actually work 👇
If you give vague or incomplete info, the Agent will fill in the blanks—and usually get them wrong.
Here’s how to write high-context prompts that actually work 👇
Guess now we can predict Asia's lunch time 💀
July 2, 2025 at 4:14 PM
Guess now we can predict Asia's lunch time 💀
Agents respond to feedback — just not how you think.
The fastest way to improve output quality over time?
✅ Reinforce what works
✅ Redirect what doesn’t
✅ Keep the feedback loop tight
Here’s how smart feedback makes agents smarter 👇
The fastest way to improve output quality over time?
✅ Reinforce what works
✅ Redirect what doesn’t
✅ Keep the feedback loop tight
Here’s how smart feedback makes agents smarter 👇
July 1, 2025 at 4:13 PM
Agents respond to feedback — just not how you think.
The fastest way to improve output quality over time?
✅ Reinforce what works
✅ Redirect what doesn’t
✅ Keep the feedback loop tight
Here’s how smart feedback makes agents smarter 👇
The fastest way to improve output quality over time?
✅ Reinforce what works
✅ Redirect what doesn’t
✅ Keep the feedback loop tight
Here’s how smart feedback makes agents smarter 👇
Big codebases aren’t just a size problem. They’re a speed problem.
We just shipped a system that shrinks search time for 100M+ LOC by over 40% — while preserving 99.9% accuracy.
Here’s how we scaled context retrieval without breaking performance: 🧵
We just shipped a system that shrinks search time for 100M+ LOC by over 40% — while preserving 99.9% accuracy.
Here’s how we scaled context retrieval without breaking performance: 🧵
June 26, 2025 at 4:21 PM
Big codebases aren’t just a size problem. They’re a speed problem.
We just shipped a system that shrinks search time for 100M+ LOC by over 40% — while preserving 99.9% accuracy.
Here’s how we scaled context retrieval without breaking performance: 🧵
We just shipped a system that shrinks search time for 100M+ LOC by over 40% — while preserving 99.9% accuracy.
Here’s how we scaled context retrieval without breaking performance: 🧵
Prompting can take you a long way.
But there’s a point where better prompts stop producing better results.
Here’s how to recognize when you’ve hit that wall — and how to move forward👇
But there’s a point where better prompts stop producing better results.
Here’s how to recognize when you’ve hit that wall — and how to move forward👇
June 24, 2025 at 3:50 PM
Prompting can take you a long way.
But there’s a point where better prompts stop producing better results.
Here’s how to recognize when you’ve hit that wall — and how to move forward👇
But there’s a point where better prompts stop producing better results.
Here’s how to recognize when you’ve hit that wall — and how to move forward👇
We outperformed the top models on CoIR.
But that wasn’t the goal.
The goal was to help engineers find answers in their code, not ours.
So we built a benchmark that’s harder, messier, and more honest. 👇
But that wasn’t the goal.
The goal was to help engineers find answers in their code, not ours.
So we built a benchmark that’s harder, messier, and more honest. 👇
June 2, 2025 at 4:19 PM
We outperformed the top models on CoIR.
But that wasn’t the goal.
The goal was to help engineers find answers in their code, not ours.
So we built a benchmark that’s harder, messier, and more honest. 👇
But that wasn’t the goal.
The goal was to help engineers find answers in their code, not ours.
So we built a benchmark that’s harder, messier, and more honest. 👇
It feels natural to write "If X, then Y" when giving an instruction.
For a language model, that pattern is unreliable — and it leads to subtle failures you might not notice at first.
Here’s why it happens, and how to build prompts that actually work 🧵👇
For a language model, that pattern is unreliable — and it leads to subtle failures you might not notice at first.
Here’s why it happens, and how to build prompts that actually work 🧵👇
May 30, 2025 at 6:21 PM
It feels natural to write "If X, then Y" when giving an instruction.
For a language model, that pattern is unreliable — and it leads to subtle failures you might not notice at first.
Here’s why it happens, and how to build prompts that actually work 🧵👇
For a language model, that pattern is unreliable — and it leads to subtle failures you might not notice at first.
Here’s why it happens, and how to build prompts that actually work 🧵👇
We’re the first AI coding assistant to get ISO/IEC 42001 certified — the new international standard for AI risk, governance, and data handling.
If you’ve ever had to explain “how your AI tool handles data,” this changes that conversation.
Here’s what it unlocks 🧵
If you’ve ever had to explain “how your AI tool handles data,” this changes that conversation.
Here’s what it unlocks 🧵
May 29, 2025 at 10:13 PM
We’re the first AI coding assistant to get ISO/IEC 42001 certified — the new international standard for AI risk, governance, and data handling.
If you’ve ever had to explain “how your AI tool handles data,” this changes that conversation.
Here’s what it unlocks 🧵
If you’ve ever had to explain “how your AI tool handles data,” this changes that conversation.
Here’s what it unlocks 🧵
🆕 Mermaid diagrams in Augment Agent
Agent reads your codebase, understands structure, and renders a Mermaid diagram—directly from your prompt.
Agent reads your codebase, understands structure, and renders a Mermaid diagram—directly from your prompt.
May 29, 2025 at 3:39 PM
🆕 Mermaid diagrams in Augment Agent
Agent reads your codebase, understands structure, and renders a Mermaid diagram—directly from your prompt.
Agent reads your codebase, understands structure, and renders a Mermaid diagram—directly from your prompt.
Agents don’t crash. They drift.
At first, it’s subtle. Then it’s a mess.
Here’s how to catch drift early — and reset before you lose control: 👇
At first, it’s subtle. Then it’s a mess.
Here’s how to catch drift early — and reset before you lose control: 👇
May 28, 2025 at 3:23 PM
Agents don’t crash. They drift.
At first, it’s subtle. Then it’s a mess.
Here’s how to catch drift early — and reset before you lose control: 👇
At first, it’s subtle. Then it’s a mess.
Here’s how to catch drift early — and reset before you lose control: 👇
The secret to building reliable AI agents? Context is everything 🔥
We just shared 11 battle-tested prompting techniques that turn AI into a disciplined coding teammate.
The biggest game-changer: The model's entire worldview comes from your prompt - make it complete and consistent.
We just shared 11 battle-tested prompting techniques that turn AI into a disciplined coding teammate.
The biggest game-changer: The model's entire worldview comes from your prompt - make it complete and consistent.
May 23, 2025 at 10:39 PM
The secret to building reliable AI agents? Context is everything 🔥
We just shared 11 battle-tested prompting techniques that turn AI into a disciplined coding teammate.
The biggest game-changer: The model's entire worldview comes from your prompt - make it complete and consistent.
We just shared 11 battle-tested prompting techniques that turn AI into a disciplined coding teammate.
The biggest game-changer: The model's entire worldview comes from your prompt - make it complete and consistent.
Most AI benchmarks measure performance on synthetic puzzles.
But developers don’t work on puzzles. They debug real, messy, cross-file, undocumented codebases.
Here’s how we built a benchmark that reflects that 👇
But developers don’t work on puzzles. They debug real, messy, cross-file, undocumented codebases.
Here’s how we built a benchmark that reflects that 👇
May 16, 2025 at 6:06 PM
Most AI benchmarks measure performance on synthetic puzzles.
But developers don’t work on puzzles. They debug real, messy, cross-file, undocumented codebases.
Here’s how we built a benchmark that reflects that 👇
But developers don’t work on puzzles. They debug real, messy, cross-file, undocumented codebases.
Here’s how we built a benchmark that reflects that 👇
Most people use Agents to write code.
Fewer use them to understand it.
Even fewer use them to think.
But that’s where they quietly deliver the most value. Here’s how 👇
Fewer use them to understand it.
Even fewer use them to think.
But that’s where they quietly deliver the most value. Here’s how 👇
May 15, 2025 at 4:52 PM
Most people use Agents to write code.
Fewer use them to understand it.
Even fewer use them to think.
But that’s where they quietly deliver the most value. Here’s how 👇
Fewer use them to understand it.
Even fewer use them to think.
But that’s where they quietly deliver the most value. Here’s how 👇
❌ “Write better prompts.”
✅ Just click Enhance ✨
✅ Just click Enhance ✨
May 14, 2025 at 5:09 PM
❌ “Write better prompts.”
✅ Just click Enhance ✨
✅ Just click Enhance ✨
Most Agent mistakes happen before the first line of code is written.
Why?
Because the task was too vague—or way too big. If you’re delegating work to an Agent, here’s how to do it right 👇
Why?
Because the task was too vague—or way too big. If you’re delegating work to an Agent, here’s how to do it right 👇
May 13, 2025 at 4:30 PM
Most Agent mistakes happen before the first line of code is written.
Why?
Because the task was too vague—or way too big. If you’re delegating work to an Agent, here’s how to do it right 👇
Why?
Because the task was too vague—or way too big. If you’re delegating work to an Agent, here’s how to do it right 👇