Amp vs Pieces
A data-grounded look at how these two coding & development tools stack up — to help you pick the right coding & development tool in 2026.
Quick verdict
Pieces takes a 0.2-point lead on our Editor Score. Pick Amp if you want sourcegraph code intelligence giving frontier models repository-wide reference data; choose Pieces for continuous background capture forming memories every two seconds. On pricing, each has a free or freemium plan, so cost isn't the deciding factor here.
Amp vs Pieces at a Glance
| Pricing | Freemium | Freemium |
| Free tier | ||
| Best for | sourcegraph code intelligence giving frontier models repository-wide reference data | continuous background capture forming memories every two seconds |
Amp
Amp is an agentic coding tool from Sourcegraph that runs in the terminal and in editor extensions, using Sourcegraph's code intelligence to give frontier models deep repository context. It plans multi-step work, edits across files, runs tests and iterates, on pay-as-you-go credits with no markup on provider pricing.
- Sourcegraph's code intelligence is genuinely hard to replicate and shows on multi-file refactors
- Charging provider cost with no markup removes any incentive to ration your usage or downgrade your model
- A free tier with no hard token cap allows real evaluation rather than a crippled trial
- Threads make agent sessions reviewable and teachable, which most tools leave invisible
- Pay-as-you-go spend is unpredictable and harder to get approved than a flat subscription
- The free tier is ad-supported and does not carry the paid tier's zero-data-sharing guarantee
- No compliance certifications or on-premise deployment are advertised
Pieces
Pieces runs in the background on your computer forming a searchable memory of your work, capturing what you see and what you copy by default and what you hear only if you opt in. It builds a chronological timeline across Gmail, Outlook, browsers and Slack, and generates standups, briefs and recaps from real context.
- Solves a problem everyone has and almost nothing addresses
- The capture split is drawn at the line people actually care about
- Making audio opt-in while screen content is default is the right way round
- A timeline answers what happened, which search cannot
- Continuous screen capture is a large permission that deserves real thought
- Records what you saw, not what you understood, which can mislead
- Cannot capture what happened without you, which is often what matters
Which Should You Choose?
Choose Amp if…
- you want sourcegraph code intelligence giving frontier models repository-wide reference data
- a free or freemium plan is important
Choose Pieces if…
- you want continuous background capture forming memories every two seconds
- a free or freemium plan is important
Amp vs Pieces: The Verdict
It comes down to fit, not a single winner: Amp leans into sourcegraph code intelligence giving frontier models repository-wide reference data, while Pieces is built for continuous background capture forming memories every two seconds. Weigh features and pricing for your workflow. Both have a free or freemium tier, so spin up each and keep the one that clicks.
Frequently Asked Questions
Is Amp better than Pieces?
Neither is universally better — it depends on your budget and which features matter most. The side-by-side breakdown above shows where each one wins.
What is the difference between Amp and Pieces?
Amp (freemium) is best for sourcegraph code intelligence giving frontier models repository-wide reference data, while Pieces (freemium) is best for continuous background capture forming memories every two seconds. See the full feature and pricing comparison above.
Is Amp or Pieces cheaper?
Both have paid plans — pricing depends on your usage tier. Open each tool's review for current prices, and watch for free trials.
Which is better for beginners, Amp or Pieces?
Amp is usually the easier starting point thanks to a lower barrier to entry. Beginners should favour a free tier and a simple interface over raw power.
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About the Authors
AI Tools Comparison Analyst
Olivia runs side-by-side comparisons and benchmarks, digging into pricing, features, and real-world performance so readers can choose between competing AI tools with confidence.
Senior AI Tools Reviewer
Daniel reviews AI tools the slow way — by actually using them on real projects. His reviews cover what works, what breaks, and who each tool is genuinely a good fit for.
Keep exploring
Last updated October 2026. Comparisons are ranked by our Editor Score (features, value and pricing, blended with verified user reviews where a tool has them) — see our methodology.