Smart Contract Development for Algorand with TEAL and PyTeal
We develop smart contracts for Algorand using TEAL, PyTeal, and Beaker. Algorand is not EVM-compatible: AVM uses a stack-based model, and TEAL is an assembly-like language with strict limits. Program size is up to 8192 bytes, stack depth 1000, opcode budget per transaction only 20,000 (up to 320,000 in atomic groups). Every instruction matters: ed25519verify costs 1900 opcodes, keccak256 costs 130. Budget miscalculation can break a contract.
Algorand AVM offers advantages over Ethereum: instant finality (4.5 seconds vs 12 seconds), zero MEV, and fees under 0.001 ALGO per transaction—10 to 100 times cheaper than Ethereum layer 1. This suits DeFi, NFT marketplaces, and corporate solutions. However, the entry barrier is high: you need to grasp atomic groups, inner transactions, non-standard state model.
We accompany projects from analysis to deployment. Our portfolio includes token vesting, DAO voting, and AMM-like pools. Each project undergoes internal audit for vulnerabilities (reentrancy rare but possible via inner transactions) and opcode limit checks. We bring 5+ years blockchain development, 30+ projects on Algorand. The TEAL specification on GitHub confirms these limits.
AVM Specifics You Need Immediately
TEAL (Transaction Execution Approval Language) is stack-based for Algorand Smart Contracts (ASC1). Two program types: LogicSig (signs transactions without account) and Application (stateful with storage).
Key limits of AVM 10:
AVM limits
| Parameter |
Limit |
| Program size (approval + clear) |
8192 bytes each |
| Stack depth |
1000 elements |
| Scratch space |
256 slots |
| Global state |
64 key-value pairs |
| Local state (per account) |
16 key-value pairs |
| Box storage (unlimited key-value) |
pay per byte |
| Opcodes per transaction |
20,000 (base) |
| Opcodes with atomic group |
up to 320,000 |
The 20,000 opcodes limit is not 20,000 lines. One keccak256 costs 130, ed25519verify 1900. Calculating budget is mandatory for complex contracts.
Why Atomic Groups Instead of Internal Calls?
Algorand contracts cannot call each other within one transaction. Instead, atomic groups—sets of transactions that all execute or all abort. Fundamental difference from EVM. For example, “flash loan → swap → repay” is implemented via a group of three Application Calls, verified using gtxn. Atomic groups provide composability without inner transaction overhead, but require correct index ordering.
How PyTeal Simplifies Development vs Raw TEAL?
PyTeal is a Python framework compiling to TEAL. It enables conditions, recursive loops, and ABI-compatible interfaces (ARC-4). For complex logic, PyTeal is indispensable. For simple LogicSigs or final optimization, raw TEAL works. Beaker (above PyTeal) adds auto-generation of ABI schemas and simplifies state management. We choose the right tool.
Tools and Stack
- AlgoKit—official CLI from Algorand Foundation. Project templates, local devnet via Docker (AlgoKit LocalNet), deployment, interaction.
- algopy (new Python framework)—compiles to TEAL via AVM compiler, static typing, strict ABI control. Preferred over PyTeal for new projects.
- algokit-client-generator—generates TypeScript client from ARC-4 JSON spec. Analogous to typechain for EVM.
- Algorand Sandbox / AlgoKit LocalNet—local node for development.
- Dappflow—web interface for inspecting transactions and contract state.
| Tool |
Purpose |
When to Choose |
| Raw TEAL |
LogicSig, simple Approval, optimization |
Minimal size, maximum control |
| PyTeal |
Complex logic, ABI contracts |
When conditions, loops, automatic compilation needed |
| Beaker |
Quick start, auto-generation of ABI |
New projects without legacy constraints |
We write tests in Python (pytest + algokit-utils) for unit and TypeScript (Jest + algosdk) for integration. Coverage checked via pytest-cov.
Contact us about contract architecture—we will help choose optimal type and tool.
How Development Looks
-
Analysis (0.5–1 day). Determine contract type (stateful application vs LogicSig), state architecture (global/local/box), need for inner transactions, compatibility with ARC-4/ARC-20.
-
Development (2–4 days). Write approval + clear programs. Parallel unit tests on AlgoKit LocalNet. Check opcode budget on critical paths.
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Integration. Generate ABI JSON, TypeScript/Python client. Test on Testnet before mainnet.
-
Deployment. Application deployed via ApplicationCreateTxn. Updatability via UpdateApplicationTxn if allowed. Immutability via hardcode
Int(0) in update/delete handlers.
Timeline: 3–5 days for medium complexity. Complex protocols: up to 2 weeks. Typical project cost ranges from $5,000 to $20,000 depending on complexity.
What's Included
- Security audit (reentrancy, underflow, access control) using Slither and manual analysis.
- Code documentation and ABI schemas.
- Test coverage (unit + integration) on Testnet.
- Communication at all stages.
- Support during mainnet deployment.
Typical Mistakes
Not accounting for minimum balance requirement. Each account opting in must have at least 0.1 ALGO + 0.025 ALGO per local state key. Box storage: 0.0025 ALGO per byte + 0.0025 per key. Forgetting breaks transactions with below min balance.
Mixing Application Call and Asset Transfer in wrong order. In atomic groups, transaction order matters. The contract reads gtxn 0—it must be exactly the expected transaction. Index confusion is a guaranteed bug.
Using LogicSig where an Application is needed. LogicSig signs transactions but does not store state. If logic requires global state (balance, counter, address list), a stateful Application is needed. LogicSig is for delegated authorization and escrow.
Proper opcode budget optimization can save up to 30% on fees for high-load operations—saving up to $3,000 per year for high-volume apps.
We help reduce development costs using ready-made templates and test automation. Contact us for project evaluation—get a consultation on contract architecture and cost estimation. Order Algorand smart contract development today.
Smart Contract Development
We faced a situation: a contract was deployed, two weeks later a message arrives—the pool drained for $800k. Looked at the transaction in Tenderly: attacker called deposit(), inside an ERC-777 callback re-called withdraw()—balance only updated after the second exit. Classic reentrancy, but not via ETH transfer—through an ERC-777 hook. ReentrancyGuard was only on withdraw().
Such cases are not rare. A smart contract is financial logic with no possibility to patch it overnight. Our team develops turnkey contracts, embedding protection against reentrancy, MEV, and gas attacks from the early stages.
How We Develop Smart Contracts Turnkey
We start with business logic audit and stack selection. Solidity 0.8.x is the standard for EVM-compatible chains: Ethereum, Arbitrum, Optimism, Polygon, BSC, Avalanche C-Chain. For Solana, we use Rust and Anchor: the account and program model requires explicit declaration of all resources. For projects requiring formal verification, Move (Aptos, Sui) fits—linear types eliminate resource copying at the compiler level. Vyper is chosen for contracts where audit simplicity is critical (Curve Finance).
| Language |
Execution Model |
Typical Domain |
Risks |
| Solidity 0.8.x |
EVM, sequential |
DeFi, NFT, tokens |
Reentrancy, overflow (unchecked) |
| Rust (Anchor) |
Solana, parallel |
High-throughput DEX, games |
Incorrect account declaration |
| Move |
Aptos/Sui, resource |
Large protocols |
Ecosystem complexity |
| Vyper |
EVM, limited syntax |
Critical contracts (Curve) |
Compiler stability dependency |
Gas optimization is not premature optimization—it is an architectural decision. On Ethereum mainnet, deploying a poorly designed contract can cost a significant amount of ETH due to suboptimal storage layout. Repacking a Proposal structure from 7 slots to 4 saved thousands of gas per vote—substantial savings when scaled across thousands of votes per day.
Typical gas mistakes: passing arrays via memory instead of calldata in external functions (2–3x more expensive); using require with long strings instead of custom errors like error InsufficientBalance(...). Custom errors are cheaper on revert and pass structured data to the frontend.
Why Smart Contract Audit Is Critical for Security
Audit is not a one-time check—it is a built-in development stage. We use three levels:
-
Static analysis—
Slither (30 seconds in CI) detects reentrancy, uninitialized variables, dangerous delegatecall.
-
Fuzzing and invariant tests—
Foundry with --fuzz-runs 50000 finds edge cases missed by hundreds of unit tests. Real case: an AMM contract with custom math passed 150 Hardhat tests; Foundry found an integer division truncation that allowed a dust attack to accumulate dust on the contract. Echidna checks invariants ("sum of all balances ≤ totalSupply").
-
Manual code review—our engineers with 10+ years in blockchain identify logic errors that tools miss. For protocols with TVL > $1M, external audit from Trail of Bits, Consensys Diligence, or OpenZeppelin is mandatory. Timeline: 2–4 weeks.
Any upgradeable protocol must have a timelock. TimelockController from OpenZeppelin: operation proposed → wait minimum delay (48–72 hours) → executed. Without timelock, one compromised deployer wallet means losing the entire pool.
What Upgrade Patterns Do We Choose?
| Pattern |
Mechanism |
Risk |
When to Use |
Our Experience |
| Transparent Proxy (OZ) |
admin vs user separation |
Storage collision, centralization |
Standard projects |
15+ implementations |
| UUPS |
Upgrade logic in implementation |
Forget _authorizeUpgrade → contract permanently broken |
Gas-optimized projects |
7 projects |
| Diamond (EIP-2535) |
Multiple facets |
Audit complexity |
Large protocols with 10+ contracts |
3 deployments |
| Beacon Proxy |
One beacon for multiple proxies |
Beacon = single point of failure |
Factories of identical contracts |
5 factories |
Storage collision is the main danger of proxies. Implementation v2 must not add variables before existing ones. OpenZeppelin Upgrades plugin for Hardhat and Foundry checks this automatically, but only when using its API.
How to Protect a Contract from MEV and Front-Running
On Ethereum mainnet, transactions in the mempool are visible to all. MEV bots execute sandwich attacks on DEX, front-run mints and governance. Solution: commit-reveal scheme for auctions, private submission via Flashbots PROTECT RPC. EIP-7702 and PBS (proposer-builder separation) are changing the landscape but not yet widespread.
What Is the Development Process?
-
Analysis—functional specification, call diagram, edge case analysis. Without this, coding starts in vain.
-
Development—Solidity/Rust with tests in parallel. Test → code → refactoring. Use Foundry for fuzz and invariant tests.
-
Internal audit—Slither + Echidna + manual code review. Foundry invariant tests for protocol invariants.
-
External audit—for projects with real money. Timeline: 2–4 weeks.
-
Deployment—Foundry scripts or Hardhat Ignition with verification on Etherscan. Gnosis Safe for ownership transfer immediately after deployment.
-
Monitoring—Tenderly alerts, OpenZeppelin Defender, Forta Network.
What Is Included
- Architecture documentation and contract specification (NatSpec).
- Source code with repository and CI (Slither, Foundry, coverage).
- Deployed contract with verification on blockchain explorer.
- Audit results (internal and external upon request).
- Access to monitoring and management (Gnosis Safe).
- Code warranty: critical bug fixes within one month after deployment.
- Consultation on web integration (wagmi, RainbowKit).
Estimated Timelines
- ERC-20 token with basic functions: 1–2 weeks
- Vesting contract with cliff/linear schedule: 2–3 weeks
- NFT ERC-721/1155 with marketplace: 4–6 weeks
- AMM or lending protocol: 2–4 months
- Multichain protocol with bridge: 4–7 months
Audit adds 3–6 weeks and runs in parallel with final testing where possible. Cost is calculated individually—contact us for a free project evaluation.
Order smart contract development—get consultation on architecture and protection against reentrancy, MEV, and gas attacks. Want to discuss details? Write to us—we will select the optimal stack for your task.